REGULATION OF THE GABPβ PROMOTER AND THE ROLE OF NRF-1 IN MAMMARY EPITHELIAL MORPHOGENESIS by Christina L. Lamparter A thesis submitted to the Graduate Program in Biochemistry within the Department of Biomedical and Molecular Sciences in conformity with the requirements for the degree of Master of Science Queen’s University Kingston, Ontario, Canada September, 2012 Copyright © Christina L. Lamparter, 2012 Abstract Decreased expression of the tumor suppressor gene BRCA1 (breast cancer 1, early onset) is frequently observed in sporadic breast tumors, with the decrease not attributed to mutations or hypermethylation of the promoter. A critical regulator of the BRCA1 promoter is the GA-Binding Protein (GABP), a heterotetramer of GABPα and GABPβ. Previous analysis of the GABPβ promoter revealed a regulatory multi-protein complex containing Nuclear Respiratory Factor 1 (NRF-1), which was aberrant in SK-BR-3 cells, resulting in decreased GABPβ and BRCA1 expression. To identify the unknown co-regulators of the NRF-1-containing complex at the GABPβ promoter, an immobilized-template assay containing the complex binding site was utilized. Despite optimization of binding and elution conditions through variations in salt content, Mg2+ concentration and pH, non-specific DNA-binding proteins were present in the column eluate. Further experimentation is therefore required to distinguish between non-specific proteins and complex co-activators. As this complex containing NRF-1 is also able to modulate BRCA1, a regulator of luminal progenitor differentiation, a defect in NRF-1 or complex co-activators could contribute to the abnormal morphogenesis and differentiation of BRCA1-deficient tumors. We therefore investigated the role of NRF-1 in mammary cell morphogenesis and its link to the GABP/BRCA1 pathway. As both GABPβ and NRF-1 are known regulators of nuclear-encoded mitochondrial proteins, this association also provides a link between mitochondrial metabolism and breast differentiation, both of which are frequently disrupted in breast cancer. An inducible lentiviral system was used to generate NRF-1 knockdown cell lines to examine its effect on morphogenesis. Growth in 3D culture resulted in abnormal cell structures having impaired cell polarization and lumen formation. In monolayer culture, prolonged NRF-1 knockdown did not result in decreased BRCA1 or GABP expression. However, these cells did display notable mitochondrial dysfunction, accompanied by the downregulation of several NRF-1 target genes involved in mitochondrial biogenesis including Tfam and cytochrome c. These results suggest a ii role for NRF-1 in mediating mammary morphogenesis through maintenance of functional mitochondria. Further investigation into the role of the NRF-1-containing complex at the GABPβ promoter during differentiation might also provide insight into the altered cell metabolism and differentiation observed in cancer cells. iii Acknowledgements First and foremost, I would like to thank Dr. Christopher Mueller for allowing me to pursue my MSc. under his guidance and supervision. He has supported me throughout this thesis with his patience and knowledge while also allowing me to work in my own way. In the completion of this degree I have been blessed with a friendly and cheerful group of Mueller Lab members, both past and present. Thank you all for providing support and friendship, and helping me to develop a healthy fitness balance; benefiting both body and mind. I would especially like to thank Rachael Klinoski for patiently teaching me the basics, and I attribute the level of my Masters degree to her encouragement and assistance. I would also like to thank Rachael Klinoski, Alyssa Cull, Heather Ritter, Crista Thompson and Kirsten Nesset for their input, moral support and friendship. Thanks to my supervisory committee members Dr. Scott Davey and Dr. David LeBrun for their insight and helpful suggestions, and thank you to the Canadian Breast Cancer Foundation – Ontario Region for their financial support of my project. Most importantly, none of this would have been possible without the love and patience of my family. My family, to whom this dissertation is dedicated, has been a constant source of love, concern, strength and support throughout all my studies at University. I would like to express my heart-felt gratitude to my family, thank you for the emotional support, encouragement, and faith in my abilities. iv Table of Contents Abstract ............................................................................................................................................ ii Acknowledgements ....................................................................................................................... ..iv List of Figures……………………………………………………………………………………viii List of Abbreviations………………………………………………………………………………x CHAPTER 1 Introduction and Literature Review ............................................................... ………1 1.1 Breast Cancer………………………………………………………………………….1 1.2 The Human Mammary Gland…………………………………………………………2 1.2.1 Structure and Development………………………………………………...2 1.2.2 Epithelial Hierarchy and Tumourigenesis……………………………….....3 1.2.3 The Cancer Stem Cell Theory……………………………………………...4 1.2.4 Luminal Progenitors as the Cell-of-Origin in Basal-Like Tumors…………5 1.3 BRCA1 and Tumourigenesis……………………………………………………….....6 1.3.1 Familial and Sporadic Breast Cancers……………………………………...6 1.3.2 BRCA1 as a Tumor Suppressor…………………………………………….7 1.3.3 BRCA1 in Development and Differentiation………………………………7 1.4 Regulation of the BRCA1 Gene……………………………………………………..10 1.5 GABP Regulation and Cellular Functions…………………………………………...12 1.6 Nuclear Regulators of Mitochondrial Metabolism…………………………………..14 1.6.1 GABP and NRF-1 as Regulators of Mitochondrial Biogenesis…………..15 1.6.2 NRF-1 during Development………………………………………………17 1.7 Mitochondrial Metabolism in Breast Cancer………………………………………...18 1.8 Rationale and Hypothesis……………………………………………………………19 CHAPTER 2 Isolation of a complex containing NRF-1 that regulates the GABPβ promoter…...20 2.1 Abstract………………………………………………………………………………20 2.2 Background…………………………………………………………………………..21 2.3 Methods………………………………………………………………………………23 2.3.1 Cells and cell culture………………………………………………………23 2.3.2 Design of dual biotin-labeled probes……………………….……………..23 2.3.3 Immobilized-template assays………………………………………….…..23 2.3.4 Immobilized-template competition assay…………………………………24 2.3.5 Western blot analysis……………………………………………………...25 2.3.6 Electrophoretic mobility shift assay (EMSA)………………………….….25 v 2.4 Results………………………………………………………………………………..25 2.4.1 Isolation of the NRF-1 containing protein complex that binds the GABPβ promoter using an immobilized-template assay………………………….25 2.4.2 Non-specific binding proteins elute with NRF-1 from the immobilizedtemplate…………………………………………………………………...29 2.4.3 Optimization of the immobilized-template binding and elution conditions ……………………………………………………………………………29 2.4.4 Isolated fractions containing NRF-1 are not consistent with complex formation………………………………………………………………….33 2.4.5 Evaluation of binding specificity to -268/-251 by fractions isolated using the immobilized-template assay…………………………………………..35 2.5 Discussion……………………………………………………………………………38 2.6 Conclusions…………………………………………………………………………..43 2.7 Acknowledgements…………………………………………………………………..43 CHAPTER 3 The role of NRF-1 in BRCA1-mediated differentiation and mammary gland tumourigenesis…………………………………………………………………………………....44 3.1 Abstract………………………………………………………………………………44 3.2 Background…………………………………………………………………………..45 3.3 Methods………………………………………………………………………………47 3.3.1 Cells and cell culture………………………………………………………47 3.3.2 Lentiviral production and transduction……………………………………47 3.3.3 Acini……………………………………………………………………….48 3.3.4 Preparation of whole cell lysates………………………………………….49 3.3.5 Western blot analysis……………………………………………………...49 3.3.6 Quantitative real-time PCR (qRT-PCR)…………………………………..49 3.3.7 Dual luciferase assay……………………………………………...………50 3.3.8 Mitochondrial function assay……………………………………………...51 3.4 Results………………………………………………………………………………..51 3.4.1 Mammary epithelial cells with decreased NRF-1 expression demonstrate abnormal acinar morphogenesis………………………………………….51 3.4.2 NRF-1 depletion does not result in a long-term depression of GABPβ/BRCA1 expression in monolayer cells………………………….59 3.4.3 Loss of NRF-1 is associated with mitochondrial dysfunction in mammary epithelial cells…………………………………………………………….66 vi 3.4.4 The expression of genes involved in mitochondrial metabolism and apoptosis are down-regulated with NRF-1 knockdown………………….68 3.5 Discussion……………………………………………………………………………70 3.6 Conclusions…………………………………………………………………………..74 3.7 Acknowledgements…………………………………………………………………..75 CHAPTER 4 General Discussion………………………………………………………………...76 4.1 Metabolic Adaptations in Tumors…………………………………………………...76 4.2 Metabolism and Differentiation of Embryonic Stem Cells………………………….76 4.3 Metabolic Reprogramming in Tumourigenesis……………………………..……….78 CHAPTER 5 Summary and Conclusions………………………………………………………...80 Reference List…………………………………………………………………………………….81 vii List of Figures Figure 1.1. Domain structures of GABPα, GABPβ1 isoforms and NRF-1……………………...13 Figure 1.2. NRF-1 and GABP coordinately regulate the expression of nuclear-encoded mitochondrial proteins……………………………………………………………….16 Figure 2-1: Dual biotin-tagged probe for DNA affinity assay…………………………….……...27 Figure 2.2. Proteins bind non-specifically to the GABPβ promoter in an immobilized-template assay………………………………….………………………………………………28 Figure 2.3. Non-specific proteins elute with NRF-1 in a gradient salt elution………….………..30 Figure 2.4. Optimization of elution conditions with Mg2+ and pH variation…………………….32 Figure 2.5. Fractions containing NRF-1 are not consistent with complex formation……………34 Figure 2.6. NRF-1 supplemented fractions do not mediate additional complex formation……...36 Figure 2.7. Complex binding is diminished upon binding site mutation……………….………...37 Figure 3.1. Inducible lentiviral mediated knockdown of NRF-1 protein.………………………...53 Figure 3.2. Inducible lentiviral mediated knockdown of NRF-1 mRNA………………………...54 Figure 3.3. NRF-1 knockdown impairs mammary cell differentiation in 184hTERTs………......56 Figure 3.4. NRF-1 knockdown impairs mammary cell differentiation in MCF-10As………...…57 Figure 3.5. NRF-1 deficient cells exhibit impaired lumen formation……...……………………..58 Figure 3.6. NRF-1 depletion does not result in a prolonged decrease of GABPα, GABPβ and BRCA1 expression in monolayer 184hTERT cells……………….....………………60 Figure 3.7. NRF-1 depletion does not result in a prolonged decrease of GABPα, GABPβ and BRCA1 expression in monolayer MCF-10A cells………...……………..………….61 Figure 3.8. Endogenous mRNA expression of GABPβ is reduced in MCF-10A cells...…………63 Figure 3.9. GABPβ promoter activity differs between 184hTERT and MCF-10A cells upon NRF-1 depletion…………...…………………………………………………………65 Figure 3.10. Mitochondrial dysfunction results from NRF-1 knockdown………………….……67 viii Figure 3.11. Decreased Tfam and cytochrome c expression is associated with NRF-1 knockdown ..……………………………………………………………………………………..69 ix List of Abbreviations 53BP1 p53 Binding Protein ALDH Aldehyde Dehydrogenase AR Ankyrin Repeat ARID1A AT rich interactive domain 1A bp Base Pairs BRCA1 Breast cancer 1, early onset BRCT BRCA1 C-Terminus Brg-1 Brahama-related gene 1 BSA Bovine Serum Albumin C/EBPβ CCAAT/Enhancer-Binding Protein β COX Cytochrome Oxidase CREB Cyclic AMP Response Element CSC Cancer Stem Cell Cytc Cytochrome c DBD DNA Binding Domain DCIS Ductal carcinoma in situ DMEM Dulbecco’s Modified Eagle Medium DNA Deoxyribonucleic Acid Dox Doxycycline DTT Dithiothreitol EDTA Ethylenediamine-Tetraacetic Acid EGF Epidermal Growth Factor EMSA Electrophoretic Mobility Shift Assay EpiSC Epiblast Stem Cell x ER Estrogen Receptor ERR Estrogen Related Receptor ESC Embryonic Stem Cell FBS Fetal Bovine Serum GABP GA-Binding Protein Gal Galactose Glu Glucose HAT Histone Acetyl Transferase HD Heterodimerization Domain HEPES 4-(2-hydroxyethyl)-1-piperazineethanesulfonic acid HIF-1α Hypoxia Inducible Factor-1α HRP Horseradish Peroxidase HSA Helicase/SANT-associated HSC Hematopoietic Stem Cell KCl Potassium chloride kDA Kilodalton LOH Loss of Heterozygosity LZ Leucine Zipper MaSC Mammary Stem Cell MgCl2 Magnesium Chloride MOI Multiplicity of Infection mtDNA mitochondrial DNA Na2HPO4 Disodium Hydrogen Orthophosphate Na3VO4 Sodium Orthovanadate NaCl Sodium Chloride xi NaF Sodium Fluoride NFAT Nuclear Factor of Activated T-cells NLS Nuclear Localization Signal NRF-1 Nuclear Respiratory Factor 1 PARP-1 Poly [ADP-ribose] polymerase 1 PBS Phosphate Buffered Saline PCR Polymerase Chain Reaction PGC-1 Peroxisome Proliferator-activated receptor Gamma Co-activator 1 PLB Passive Lysis Buffer PMSF Phenyl Methyl Sulfonyl Fluoride PPARγ Peroxisome Proliferator-Activated Receptor-γ PRC PGC-1 Related Co-activator Ptd Pointed Domain PVDF Polyvinylidene difluoride qRT-PCR Quantitative real-time polymerase chain reaction REDOX Reduction-Oxidation RNA Ribonucleic Acid ROS Reactive Oxygen Species RT Room Temperature SDS Sodium Dodecyl Sulfate SDS-PAGE Sodium Dodecyl Sulfate-Polyacrylamine Gel Electrophoresis shRNA Short hairpin Ribonucleic Acid SP1 Specificity Protein SRC3 Steroid Receptor Co-activator SWI/SNF SWItch/Sucrose NonFermentable xii TAD Transactivation Domain TBE Tris/Borate/EDTA TBP TATA-binding protein TDLU Terminal Ductal Lobular Unit TEB Terminal End Bud TFAM Mitochondrial Transcription Factor A WCL Whole Cell Lysates WT Wild-type xiii CHAPTER 1: Introduction and Literature Review 1.1 Breast Cancer With approximately 22,000 new cases of breast cancer expected to arise in Canada in 2012, breast cancer represents the most frequently diagnosed cancer in women affecting nearly 1 in 10 during their lifetime, and is the second leading cause of cancer mortality [1]. Clinical classification of breast cancer has typically involved analyses based on stage, histopathology, and grade, but molecular classification using expression profiling has stratified breast cancer into six biologically distinct subgroups, reflecting the heterogeneity of the disease. These subgroups differ in their occurrence [2,3], prognosis [4] and clinical behavior [5], and consist of luminal A, luminal B, basal-like/triple negative, claudin-low, HER2/ERBB2 over-expressing, and normallike breast cancers [4,6]. These molecular subgroups are also broadly conserved across ethnic groups [7] and are apparent in ductal carcinoma in situ, the invasive carcinoma precursor [8], supporting the view that unique molecular networks contribute to the initial development of these intrinsic tumor subtypes. Additional breast cancer subtypes have been proposed by a recent study identifying novel biological subgroups through the examination of somatic copy number aberrations and gene expression profiling [9]. In this study ten novel subtypes were identified, each characterized by a distinct molecular profile and prognosis. Further studies integrating epigenetic and micro-RNA profiles with the currently characterized genomic architecture will likely increase the number of breast cancer subgroups as additional molecular mechanisms are potentially involved. Even with the current classification of tumor subtypes, there remains a considerable underlying complexity, which is reflected in the heterogeneity of responses within a tumor subtype to chemotherapy, hormonal, and targeted therapies [10]. In order to improve current therapies, a better understanding of the etiology of these tumor subtypes is necessary. The 1 identified molecular tumor subgroups have been suggested to arise from the transformation of distinct breast cell types that exist within a cellular hierarchy [10], with the molecular profile of the subgroups proposed to reflect the cell of origin [11]. As the cellular organization apparent during mammary carcinogenesis is derived from the normal mammary gland, an understanding of the normal epithelial hierarchy could provide insight into the origin and development of breast cancer subtypes. 1.2 The Human Mammary Gland 1.2.1 Structure and Development The mammary gland is comprised of a branching network of ducts that end in clusters of small ductules, known collectively as terminal ductal lobular units (TDLUs) [12]. Embedded within the mammary fat pad, these TDLUs are the basic functional units of the breast and consist of luminal epithelial and myoepithelial cells. The luminal cells can differentiate into both the ductal cells that line the hollow breast ducts, and the milk-producing alveolar cells that arise during pregnancy. In contrast, myoepithelial cells are specialized contractile units that form the basal epithelial cell layer directly surrounding the luminal cells and direct cell polarity through the secretion of the basement membrane (BM) which forms the exterior [6]. Development of the mammary gland occurs primarily postnatally and consists of two functionally distinct growth phases: a ductal phase which generates the basic tissue architecture, and a secretory phase responsible for milk production necessary during pregnancy [13,14]. The ductal phase begins at birth, where a rudimentary ductal tree stems from the nipple and exists in a quiescent state until puberty, after which increased hormonal levels initiate the formation of the mature ductal network [13]. These ducts exist in a highly dynamic state, with the distal ends undergoing branching morphogenesis and invading the surrounding tissue stroma [13]. The 2 mature glandular tissue is established when the ductal branching, which first develops centrally during puberty, expands to the periphery of the mammary gland terminating in TDLUs. Although extensive mammary development occurs from puberty to maturity, there are significant glandular changes associated with pregnancy. In response to circulating pregnancy hormones there is increased ductal branching terminating in new TDLUs, where the luminal epithelial cells differentiate into the alveolar cells necessary for milk production and secretion [12]. During postpregnancy lactation, the secretory cells present within the mammary gland are maintained through mechanical stimulation from suckling [15]. However following weaning, the mammary gland undergoes postlactational involution that reverts the tissue to the mature tissue resting state. This stage involves apoptosis and phagocytosis of the alveolar cells in addition to inactivation of lactation-associated genes and activation of involution-associated genes, with nearly 80% of the mammary epithelial cells undergoing programmed cell death [12,16]. 1.2.2 Epithelial Hierarchy and Tumourigenesis The existence of a cell hierarchy within the mammary gland is supported by early studies characterizing bipotent mammary epithelial progenitor cells capable of luminal- and myoepithelial-restricted differentiation [17,18]. Mammary stem cells (MaSC) exist at the apex of this hierarchy, with the ability to both self-renew and generate epithelial progenitor cells that can differentiate along the luminal or myoepithelial cell lineage. MaSC have been shown to reside in the ductal branches of the human mammary gland where they are relatively quiescent, while the bipotent progenitor cells that result from MaSC differentiation exist in the lobules and demonstrate a higher proliferative activity [19]. It has been suggested that the entire lobule and ductal structures of the human mammary epithelium can be derived from a single stem cell [20] 3 and it has been shown that a single mouse mammary stem cell is able to reconstitute an entire functional mammary gland [21]. Transformed MaSC have been suggested as the initiating and driving force behind tumourigenesis given the unique properties and regulation of stem cells. Whereas differentiated somatic cells are highly proliferative and short lived with constant turn over, stem cells are relatively quiescent and long lived which allows for the accumulation of oncogenic mutations from exposures to common mutagens such as ionizing radiation, environmental chemicals, viruses and inflammation [22-24]. The maintenance of stem cells in a quiescent cell cycle state also permits accrual of DNA damage through reduced activation of checkpoint controls and DNA damage response pathways, which prevents repair of damaged DNA or induction of apoptosis [25]. Furthermore, the defects acquired by quiescent stem cells could be propagated through selfrenewing progeny and progenitors, resulting in a transformed cell pool. In addition to the inherent properties of stem cells, the molecular pathways regulating stem cell renewal including the Wnt, Notch and PTEN signally pathways are often deregulated in cancer [26]. 1.2.3 The Cancer Stem Cell Theory The cancer stem cell theory proposes that malignant tumors exist in a cellular hierarchy similar to normal tissues and arise from a small number of transformed cells known as cancer stem cells (CSC), with non-CSC being unable to initiate tumor formation [27]. CSCs were first identified in the hematopoietic cell system, where hematopoietic stem and multi-/oligopotentprogenitors capable of indefinite proliferation are able to generate all types of mature blood cells, but their transformation results in leukemogenesis [28]. Breast CSCs can be isolated from nontumorigenic cancer cells using a combination of cell surface markers (CD44/CD24) and aldehyde dehydrogenase activity (ALDH), where the phenotype CD44+CD24-/low and ALDH1high is 4 characteristic of breast CSCs [29]. Identification of CSC surface markers and evidence for the cancer stem cell hierarchy in the mammary gland comes from transplantation studies in mice. In a study by Al-Hajj et al., cells were isolated from nine human breast carcinomas based on the expression of CD44 and CD24 markers, which were heterogeneously expressed in tumor tissue [30]. The tumorigenic potential was assessed following implantation of the isolated cells into the cleared mammary fat pads of NOD/SCID mice, and notably only the CD44 + CD24- cell population was able to initiate tumor formation. Furthermore, this tumor-initiating subpopulation of breast cancer cells was able to regenerate the heterogeneity of the original tumor, producing CD44+ CD24- and CD44+/- CD24+ cells, and undergo serial transplantation demonstrating a capacity for self-renewal. Interestingly, basal-like breast tumors are enriched with cells displaying the CD44+CD24- stem cell marker phenotype, which is associated with a less differentiated and more invasive phenotype [31]. 1.2.4 Luminal Progenitors as the Cell-of-Origin in Basal-Like Tumors With basal- and luminal-like cancers representing the two most prominent subtypes of breast cancer and are identified based on their similarities to the basal and luminal lineages in the normal mammary gland [32], it was initially speculated that these breast tumor subtypes originated from lineage-specific transformed cells [33,34]. However, there is increasing evidence that luminal progenitor cells contribute to both basal- and luminal-like cancers, with gene expression signatures of basal- and luminal-like cancers most similar to luminal progenitor cells [35-37]. Although luminal cells have traditionally been described as less malignant in comparison to basal-like cells [30], these luminal progenitors have recently been shown to be tumor initiating and invasive, without de-differentiating or regressing to a basal cell state [38]. The tumor suppressor BRCA1 (breast cancer 1, early onset) has been shown to be a regulator of luminal cell 5 differentiation in human breast cancer, where its absence results in expansion of the luminal progenitor population and a characteristic basal-like tumor phenotype [36]. 1.3 BRCA1 and Tumourigenesis 1.3.1 Familial and Sporadic Breast Cancers Hereditary breast cancer is associated with a high risk of developing breast cancer with the increased susceptibility resulting from an inherited germline mutation in one allele of a high penetrance tumor suppressor gene including BRCA1, BRCA2, TP53, or PTEN [39]. Inactivation of the second allele through loss of heterozygosity (LOH) is able to initiate the oncogenic process, with this mechanism of tumourigenesis referred to as the two-hit hypothesis [40]. Additionally, BRCA1 haploinsufficiency results in a diminished DNA-repair capacity which has been suggested to accelerate the development of hereditary breast carcinogenesis and facilitate the accumulation of additional mutations [41]. Germline mutations in BRCA1 account for approximately 30% of hereditary breast cancer cases, with hereditary cases representing only about 10% of total breast cancer cases [42]. The remainder of breast cancer cases are sporadic in nature, with only a limited number of cases attributed to mutations in BRCA1. However, reduced BRCA1 mRNA levels are frequently observed in sporadic breast cancers, with decreased BRCA1 expression levels correlating with increased tumor aggression, enhanced cancer metastasis, and a poorer clinical prognosis [43,44]. Therefore, an underlying defect in BRCA1 expression or in related pathways will have the same functional consequence as mutational inactivation of BRCA1 itself. Methylation of the BRCA1 promoter has also been suggested as a contributing factor for decreased BRCA1 expression in sporadic breast tumors [45]. However, decreased expression of BRCA1 due to promoter methylation is observed in approximately 11% of sporadic breast cancer tumors [45-47]. 6 1.3.2 BRCA1 as a Tumor Suppressor There is substantial experimental evidence indicating that BRCA1 functions as a tumor suppressor. BRCA1 has been shown to be involved in many cell functions that serve to maintain genomic integrity, and its disruption often results in defective G1/S, S, and G2/M cell checkpoints [48-50]. In addition to interacting with proteins involved in cell cycle regulation, BRCA1 interacts with other tumor suppressors and oncogenes, proteins involved in DNA damage repair, and transcriptional activators and repressors [51]. As inactivation of BRCA1 alone is not sufficient for tumourigenesis, cell cycle checkpoint dysfunction coupled with impaired DNA damage repair has been proposed to induce genetic instability in BRCA1 deficient cells, increasing the risk for malignant transformation [52]. The progression from genetic instability to tumor formation through oncogene activation is supported by the expression profile of BRCA1associated tumors, which are frequently associated with increased expression of oncogenes such as cyclin D1, c-Myc and ErbB2 [53,54]. 1.3.3 BRCA1 in Development and Differentiation Studies of murine Brca1 expression during development have revealed that it is tightly regulated at distinct stages of mammary gland development [55]. During early embryogenesis (E9.5-10.5) Brca1 is diffusely expressed among the embryonic tissues, where it shifts in late embryogenesis (E13-20) towards tissue specific expression in cells undergoing rapid growth and differentiation [56]. Postnatal expression of Brca1 in the breast remains at low levels until puberty, where a sudden increase in expression accompanies ductal morphogenesis in the mammary gland with the formation of proliferative terminal end buds (TEB) [55]. In the adult tissue Brca1 expression is localized primarily in proliferating tissues undergoing differentiation, with expression in the mammary gland remaining low in the virgin mouse until pregnancy where 7 a dramatic increase in expression accompanies the formation of milk-secreting alveolar units in the TEB [56]. With Brca1 expression remaining elevated during pregnancy and lactation, postlactational regression stimulated by weaning results in decreased Brca1 expression. A final increase in Brca1 expression accompanies involution of the mammary gland, which is triggered by a massive apoptotic event, and returns the mammary gland to a quiescent state [55]. Although this quiescent state is associated with low Brca1 expression, this baseline expression is higher than in age-matched virgin mice [56]. These increased levels of Brca1 support human epidemiological studies describing the protective effect of pregnancy in breast cancer development for parous women [57]. Several studies have examined the crucial role of Brca1 in development using targeted gene knockout. Mouse models with global homozygous deletions in Brca1 revealed an early embryonic lethality (E5.5-13.5), supporting a role for Brca1 in embryonic development. These embryos exhibited various phenotypic deficiencies including developmental delays and structural chromosomal aberrations which were likely due to accumulated DNA damage [58], consistent with a role for BRCA1 in the maintenance of genome integrity. Similar to BRCA1 knockouts, truncations of BRCA1 eliminating the BRCT domain, which has recently been shown to be required for its tumor suppressor function [59], results in a delayed early embryonic lethality (E9.5-10.5). Embryogenesis was associated with a delay in development and growth arrest but continual proliferation and differentiation [60]. Therefore, truncations appear to have a different effect on embryonic development than complete protein absence. To overcome the embryonic lethality phenotype associated with BRCA1 knockout, Xu et al. utilized conditional knockout of BRCA1 in the mammary gland using a Cre-loxP system [61]. Abnormal ductal morphogenesis and increased apoptosis was observed following conditional knockout, with 80% of mice 8 remaining tumor free until 10 months of age. Notably, the low frequency and delay in tumor formation following conditional Brca1 knockout in these mice suggests that additional transformations combined with loss of Brca1 are required for tumourigenesis. The requirement for BRCA1 in embryogenesis and mammary gland development suggests it plays a regulatory role during cell proliferation and differentiation. Using murine mammary epithelial cells that differentiate in vitro in response to lactogenic hormones, BRCA1 has been shown to promote differentiation while down-regulating proliferation assessed by the expression of the milk protein β-casein and formation of domes [62]. Additionally, its depletion was shown to result in attenuation of differentiation. A similar study depleted BRCA1 using RNA interference in the human mammary epithelial cell line MCF-10A, which resulted in the formation of abnormal cell aggregates having increased cell proliferation during differentiation [63]. BRCA1-depleted cells were also associated with down-regulation of genes involved in differentiation and up-regulation of genes involved in proliferation. As mammary gland development is based on the differentiation of stem/progenitor cells along the luminal or myoepithelial lineage, the influence of BRCA1 expression on the epithelial hierarchy has been previously investigated [64]. Lim et al. examined the breast tissue of BRCA1 mutation carriers (BRCA1+/-) and observed a diminished stem and enriched luminal progenitor expression signature [36]. In contrast, Liu et al. demonstrated that while BRCA1 expression increases in vitro during mammary cell differentiation, knockdown of BRCA1 (~20% expression) results in expansion of the undifferentiated stem/basal cell population with a corresponding decrease in luminal cells [64]. These results suggest that the effects of BRCA1 on mammary stem/progenitor differentiation may be dose dependent. BRCA1 heterozygosity results in expansion of the luminal cell population while homozygous BRCA1 inactivation shifts the cell population towards a 9 stem/basal-like state. Interestingly, this model is consistent with BRCA1 expression in normal cells where it remains low in the stem/basal population, while being nearly 3-fold higher in luminal cells [64]. Collectively, these findings establish BRCA1 as an important regulator of cell growth and differentiation. 1.4 Regulation of the BRCA1 Gene Characterization of the transcription factors that regulate the BRCA1 proximal promoter has previously been performed with several protein complexes identified [55]. The GA-binding protein (GABP) is a critical regulator of promoter activity and has been shown to bind the RIBS site [45]. Recently, the low BRCA1 expression present in the human mammary carcinoma, ErbB2 amplified, SK-BR-3 cell line was attributed to decreased expression of the GABP subunit, GABPβ, that resulted from aberrant regulation of a site within the GABPβ promoter by a multiprotein complex containing Nuclear Respiratory Factor-1 (NRF-1) [65]. As aberrant activity of NRF-1 or its regulatory complex members are able to modulate BRCA1 expression through their regulation of GABPβ, further studies are required to identify these complex co-activators. GABP also mediates the interaction of the unliganded glucocorticoid receptor with the BRCA1 promoter at the RIBS site in the absence of the stress hormone hydrocortisone [66], supporting a mechanism in which stress regulates BRCA1 expression (reviewed in [67]). A CREB (Cyclic AMP Response Element Binding protein) site exists downstream of the RIBS element and acts as a constitutive transcriptional activation element bound by CREB [68]. It was subsequently demonstrated that c-Jun/Fra2 also bind this site and positively regulate BRCA1 expression [69]. Positive regulation has also been demonstrated by a complex containing 53BP1 (p53 binding protein) at the UP site [70]. The oncogene Steroid Receptor Co-activator 3(SRC3) has been demonstrated to complex with 53BP1 to regulate the BRCA1 promoter, possibly at the UP site 10 [71]. Although the mechanism by which p53 transcriptionally represses BRCA1 expression is not known [72], it is possible that its interaction with bound 53BP1 suppresses its activity and reduces BRCA1 expression. Regulatory control of the promoter also appears to be mediated by several E2Fs, where binding of either E2F6 or E2F1 has been shown to repress and activate the promoter, respectively [73]. Additionally, bound E2F1 and E2F4 at adjacent E2F binding sites results in negative regulation of the promoter [74]. Similarly, repression of the BRCA1 gene is mediated upon binding of Rb to E2F1 at the E2F binding site [75]. BRCA1 expression is also shown to increase in response to treatment with estrogen [76]. Its interaction with estrogen is complex as BRCA1 is able to both repress ERα signalling and stimulate its expression (reviewed in [77]). The involvement of BRCA1 in hormone signalling may contribute to the associated breast- and ovarian-specific tumor development associated with BRCA1 mutation in hereditary [78] and BRCA1 inactivation in sporadic cancers [47,79,80]. In addition to regulation of the proximal promoter, a recent study has demonstrated c-Myc activation of the promoter through distal regulatory elements [81]. Regulation of BRCA1 transcripts has recently been shown to involve micro RNAs (miRNA). The decreased expression of BRCA1 associated with sporadic breast cancers has been suggested to be mediated by miR-182 in the 3’UTR of BRCA1 [82], resulting in diminished DNA damage response capacity. Additionally, miR-335 has been shown to modulate the BRCA1 regulatory cascade in vitro through regulation of the BRCA1 activators ERα, IGF1R, SP1, and the repressor ID4 with miR-335 expression itself being regulated by estrogen [83]. Upstream deregulation of miRNAs impacting BRCA1 can result in an amplified downstream effect given recent findings that BRCA1 epigenetically controls the oncogenic miR-155 [84] with targets involved in apoptosis and proliferation, both of which contribute to tumor development. 11 1.5 GAPB Regulation and Cellular Functions GABP is a critical regulator of the BRCA1 promoter through the RIBS element [45]. GABP is a unique ets transcription factor that exists as an obligate multi-subunit protein complex [85]. It consists of a GABPα and GABPβ heterodimer, which can in turn form a transcriptionally active tetrameric α2β2 complex [85]. GABPα contains the DNA-binding domain (DBD) which is characterized by the winged-helix-turn-helix motif common to ets transcription factors, and is the only ets factor that can recruit GABPβ to DNA [86]. Its central region also contains an ets pointed domain (Ptd), which mediates additional protein-protein interactions [87]. GABPβ contains ankyrin repeats (AR) that form the interface with GABPα, a transactivation domain (TAD) required for transcriptional activation and a leucine zipper (LZ) motif that mediates tetramerization [85]. In humans there are four different GABPβ splice variants that differ in their C-termini [88], and are named according to their molecular weight [85]. These GABPβ isoforms all contain an N-terminal AR domain and a TAD, but differ in their inclusion of a central 12amino acid region (In) having no known function and a C-terminal LZ domain [85]. The structure of human GABPα and the GABPβ isoforms are summarized in Figure 1.1. There is currently no consensus on the precise location of the TAD and transcriptional activity of these isoforms. Gugneja et al. reported that all four GABPβ isoforms exhibit indistinguishable transcriptional properties with the TAD located directly upstream from the LZ domain [88]. In contrast, Sawa et al. localized the TAD to the extreme C-terminal region, with only GABPβ1-42 and and GABPβ1-41exhibiting transcriptional activation properties [89]. Furthermore, Rosmarin et al. utilized in vitro luciferase assays which revealed that although all isoforms were capable of promoter activation, the GABPβ1-42 and GABPβ1-41 isoforms show greater transcriptional activation [85]. The GABP complex is 12 involved in a variety of cellular A. Ptd DBD HD GABPα 1 154 318 203 454 399 B. AR In TAD LZ GABPβ1-42 1 130 1 130 1 130 1 130 195 206 270 346 395 GABPβ1-41 258 334 383 GABPβ1-38 195 206 270 346 359 GABPβ1-37 C. HD 258 NLS 334 347 DBD TAD TAD NRF-1 1 78 88 116 301 304 380 449 476 503 Figure 1.1. Domain structures of GABPα, GABPβ1 isoforms and NRF-1. (A) The functional domains of the GABPα subunit include an ets pointed domain (Ptd, dark grey), a helix-loop-helix DNA-binding domain (DBD, green) and a heterodimerization domain (HD, orange). (B) Four GABPβ1 splice variants have been identified, with their names derived from their molecular weight. The functional domains of the GABPβ1 subunits include an ankyrin repeat heterodimerization motif (AR, dark grey) and a transcriptional activation domain which contains the nuclear localization signal (TAD, green). Isomer β1-42 and β1-41 also contain a C-terminal leucine zipper domain (LZ, yellow), while β1-42 and β1-38 additionally possess a 12 amino acid insert of unknown function (In, blue). (C) The functional domains of NRF-1 include a homodimerization domain (HD, dark grey), a nuclear localization signal (NLS, blue), a large DNA-binding domain (DBD, green), and a bipartite transcriptional activation domain (TAD, orange). 13 functions including regulation of mitochondrial cellular respiration, cell-cycle progression and differentiation [90,91]. In addition to mitochondrial metabolism which will be discussed below, GABPα has recently been demonstrated to be crucial for the maintenance and differentiation of hematopoietic stem/progenitor cells (HSC) [92]. Transcriptome analysis revealed that direct GABP target genes included the transcription factors Zfx and Etv6, and prosurvival Bcl-2 family members, all of which are important for HSC survival [92]. Maintenance of HSC quiescence was also linked to GABP through its direct regulation of Foxo3 and Pten [92]. Additionally, GABP is involved in the regulation of HSC proliferation and differentiation through transcriptional activation of DNA methyltransferases and histone acetylases [92]. Furthermore, GABPα has also been implicated in the regulation of Oct-3/4 expression, a factor necessary for the self-renewal of embryonic stem cells [93]. Therefore, consistent with its regulation of BRCA1, it is likely that GABP is involved in the regulation of breast differentiation. A crucial regulatory role for GABP during development has been demonstrated in vivo with mutational inactivation of GABPα [94]. Homozygous GABPα-/- mice exhibit a lethal phenotype prior to implantation in the uterine endometrium. While heterozygous mice are not phenotypically different from wild-type mice, they interestingly do not show a reduction in GABPα protein levels suggesting tight regulation of its expression. The early embryonic lethality is suggested to result from mitochondrial and nuclear target gene deficiencies. Notably, an embryonic lethality phenotype is also observed with several GABP target genes including mitochondrial transcription factor A (Tfam) [95] and BRCA1 [58]. 1.6 Nuclear Regulators of Mitochondrial Metabolism The mitochondrial genome has a limited coding capacity, with the 16.5 kb of closed circular DNA encoding only 13 polypeptides that function as respiratory subunits of complexes I, 14 III, IV, and V, 22 mitochondrial transfer RNAs (tRNA) and 2 mitochondrial ribosomal RNAs (rRNA) [96]. As approximately 100 different components are required for the mitochondrial oxidative phosphorylation system alone, the nuclear genome is required to encode the remaining components involved in oxidative phosphorylation, mitochondrial DNA transcription, translation and replication, HEME biosynthesis and protein import and assembly [96,97]. These nuclearmitochondrial interactions are regulated by the family of Peroxisome Proliferator-activated receptor Gamma Co-activators (PGC)-1 which includes PGC-1α, PGC-1β, and PGC-1 Related Co-activator (PRC) [98]. Transcriptional regulation of nuclear encoded mitochondrial proteins by this family of nuclear co-activators requires their recruitment to gene promoters through interactions with DNA-binding transcription factors including NRF-1, GABP, Estrogen-Related Receptors (ERR), and CREB, among others [99]. Finally, additional recruitment of histone acetyl transferase (HAT) containing co-activator proteins and SWI/SNF chromatin remodeling complexes is required to potentiate the transcriptional activity [99]. The regulatory involvement of GABP and NRF-1 in mitochondrial biogenesis is summarized in Figure 1.2. 1.6.1 GABP and NRF-1 as Regulators of Mitochondrial Biogenesis A number of GABP binding sites are located within the promoters of genes involved in oxidative phosphorylation, mitochondrial import, and mitochondrial transcription factors involved in mitochondrial genome replication [97]. Consistent with its role in oxidative phosphorylation, knockdown of GABPα expression is sufficient to reduce expression of all 10 nuclear-encoded cytochrome c oxidase (COX) subunit genes in addition to genes required for mitochondrial genome replication [100]. The ability of GABP to regulate gene expression is controlled by the reduction-oxidation (redox) status of the mitochondria, with the DNA-binding 15 Figure 1.2. NRF-1 and GABP coordinately regulate the expression of nuclear-encoded mitochondrial proteins (Adapted from Scarpulla, Physiol. Rev 88: 611-638, 2008). Nuclear co-regulators (PGC-1α, PGC-1β and PRC) interact with DNA-binding transcription factors including NRF-1 and GABP to regulate the expression of nuclear genes required for mitochondrial maintenance and function. Their target genes have distinct functions in protein import and assembly, heme biosynthesis, oxidative phosphorylation through their expression of the majority of respiratory subunits, mitochondrial translation, and mitochondrial DNA (mtDNA) transcription and replication. Abbreviations used: NRF-1, Nuclear Respiratory Factor-1; GABP, GA-Binding Protein; PGC-1α, PPARγ co-activator-1 alpha, PGC-1β, PPARγ co-activator-1 beta; and PRC, PGC-1 related co-activator. 16 ability of the GABPα subunit shown to be severely reduced in conditions of oxidative stress [101]. NRF-1 was first identified as a regulator of the rat cytochrome c gene, but binding sites were subsequently identified in several respiratory protein promoters (reviewed in [90]). NRF-1 binds to its recognition sequences as a homodimer, where its carboxy-terminal domain is utilized for transcriptional activation and phosphorylation of its amino-terminal domain enhances its DNA binding ability [102] (Figure 1.1c). A chicken homologue of NRF-1 functions as a transcriptional repressor following glycosylation [103], suggesting that post-translational modifications might serve to regulate NRF-1 function. A fundamental role for NRF-1 in mitochondrial biogenesis is demonstrated by in vitro studies under conditions of NRF-1 depletion [104]. Mitochondrial biogenesis in mouse myoblasts can be stimulated by PGC-1α, however a dominant-negative NRF-1 is able to completely abrogate the effect of PGC-1α. Furthermore, transactivation of the mitochondrial transcription factor A (Tfam) promoter by PGC-1α requires interactions with NRF-1 and GABP [104]. Mutation of the NRF-1 binding site completely abolishes activation of the promoter by PGC-1α, while the normal activity is reduced by a much smaller extent in the presence of a mutated GABP binding site. These results collectively suggest that NRF-1 is a primary target and an essential component of the PGC-1α regulatory network. 1.6.2 NRF-1 during Development Similar to GABP and BRCA1, the requirement for NRF-1 expression during early embryogenesis has been demonstrated with in vivo targeted disruptions in mice. A periimplantation lethal phenotype results from homozygous NRF-1 knockdown between embryonic days 3.5-6.5, and is associated with reduced mitochondrial DNA content [105]. Although heterozygous NRF-1+/- knockout mice are viable, they have a reduced birth weight and a higher 17 mortality with diminished mitochondrial activity. However, the embryonic lethality phenotype observed with NRF-1 null mice is not attributed solely to reduced mitochondrial DNA content as Tfam knockout mice, although embryonic lethal, survive until embryonic days 8.5-10.5 [95]. The difference in embryonic viability for NRF-1 was attributed to its non-mitochondrial regulatory functions and potentially disruptions of genes involved in cell growth [90]. 1.7 Mitochondrial Metabolism in Breast Cancer A unique feature of tumor cells is their preference to metabolize glucose by aerobic glycolysis, which is in contrast to the mitochondrial oxidative phosphorylation performed by normal cells [106]. Although both tumor and rapidly proliferating normal cells are characterized by an increase in glucose consumption and glycolytic activity, tumor cells produce lactic acid rather than metabolizing glucose in the citric acid cycle, a phenomenon first identified by Otto Warburg more than 75 years ago [106-108]. Although the generation of ATP through aerobic glycolysis is inefficient, it facilitates the uptake and incorporation of nutrients into the biomass needed for rapid cell proliferation [109]. Although the mechanism for the metabolic shift is unknown, there are two predominant theories. Warburg initially proposed that the shift towards aerobic glycolysis was the result of impaired mitochondrial function [107]. Although mutations in mtDNA are frequently observed in human cancers (reviewed in [110]) and in vitro defects in oxidative phosphorylation have been shown to activate the oncogene Akt [111], the prevalence of impaired oxidative phosphorylation in breast tumors is varied. Therefore, further studies are required to assess the contribution of impaired mitochondrial function to tumourigenesis. In contrast, activation of oncogenes including MYC and HIF has been suggested to contribute to the Warburg phenotype through activation of glycolytic genes, which are suggested to shift metabolism towards glycolysis (summarized in [106]). As tumor cell metabolism is complex, 18 further studies are required to investigate the importance of mitochondrial function in tumourigenesis. 1.8 Rationale and Hypothesis An understanding of the pathophysiological mechanisms involved in the initiation and progression of breast cancer is necessary for the identification of therapeutic targets to be used in its treatment. As the NRF-1 containing complex that regulates the GABPβ promoter is a positive regulator of BRCA1 expression, the downregulation of BRCA1 frequently observed in sporadic breast cancers could be mediated by decreased GABPβ, NRF-1 or other unidentified complex coactivators. Consistent with the fundamental role for BRCA1 in mammary epithelial differentiation and recent evidence for the involvement of GABP in the differentiation of stem/progenitor cells, NRF-1 might also play a role in cellular differentiation. Given the important regulatory functions of NRF-1 and GABP in maintaining mitochondrial metabolism, disruption of their expression could also result in the altered tumor metabolism frequently observed during breast carcinogenesis and provide a link between the impaired differentiation and altered mitochondrial metabolism associated with breast cancer. Therefore, the aim of this study was to identify the components of the NRF-1 containing complex that regulates the GABPβ promoter and to investigate the role of NRF-1 during BRCA1-mediated differentiation of pluripotent breast cell lines. 19 CHAPTER 2: Isolation of a complex containing NRF-1 that regulates the GABPβ promoter 2.1 Abstract Background: Sporadic cases of breast cancer are associated with decreased BRCA1 expression, which is proposed to contribute to tumor progression. A critical regulator of the BRCA1 promoter is GABP, a heterotetramer of GABPα and GABPβ. A regulatory complex containing NRF-1 has been previously shown to activate the GABPβ promoter, where its decreased activity results in low BRCA1 expression through downregulation of GABPβ promoter activity. As the transcriptional regulation of the GABPβ promoter by the complex containing NRF-1 has not been fully elucidated, we attempted to identify the additional co-activators of the complex. Results: In the present study, we utilized an immobilized-template assay with a multimerized GABPβ promoter binding site for the regulatory complex containing NRF-1, to isolate and identify the complex co-activators. Competition assays revealed the presence of non-specific DNA-binding proteins in the assay eluate. While optimization of binding and elution conditions through variations of Mg2+ content and pH minimized binding of non-specific proteins, they were still observed to elute from the immobilized-template with NRF-1 and presumably the coactivators. Furthermore, complex formation at the GABPβ promoter with the isolated fractions in an EMSA was not consistent with the elution profile of NRF-1. Conclusions: The presence of non-specific DNA-binding proteins in the immobilized-template eluate prevented the identification of co-activators in the NRF-1 containing complex that regulates GABPβ activity. Modifications to the assay would be required to conclusively identify members of the regulatory complex. 20 2.2 Background Women with germline mutations in the tumor-suppressor gene BRCA1 (breast cancer 1, early onset) are predisposed to high lifetime risks of developing breast and ovarian cancers, with penetrance values of approximately 65% for breast and 39% for ovarian cancers by age 70 [112,113]. Hereditary breast cancers account for 5-10% of all breast cancer cases, with only 30% of these cases being attributed to germline mutations in BRCA1 [42,114,115]. The non-inherited sporadic forms of breast cancer make up the remainder of breast cancer cases, with few being associated with mutations in BRCA1 [55,116]. However, reduced BRCA1 mRNA levels are often observed in sporadic breast cancers, with decreased BRCA1 expression levels correlating with increased tumor grade, cancer metastasis, and a poorer clinical prognosis [43,44,117]. As only a small proportion of breast cancer tumors present with BRCA1 promoter hypermethylation, decreased BRCA1 expression through altered transcriptional regulation has been suggested as contributing to sporadic breast cancer progression [45,46,118]. Therefore, a focus should be placed on evaluating the BRCA1 regulatory network to determine the basis for the decreased BRCA1 expression observed in sporadic breast tumors. BRCA1 transcriptional regulation is complex and under the control of a highly active bidirectional promoter regulated by DNA-binding proteins, transcriptional co-activators and corepressors [55,119]. One critical activator of BRCA1 expression is the GABP DNA-binding complex, which binds the RIBS element of the BRCA1 promoter [45]. The ets transcription factor GA-binding protein (GABP) is transcriptionally active following heterotetramer formation, consisting of two GABPα and GABPβ subunits, which contain the DNA-binding domain and transcriptional activation domain, respectively [85,86,120]. Recently, it has been demonstrated that the low BRCA1 expression characteristic of the Erb-B2-amplified SK-BR-3 cell line is the 21 result of reduced GABPβ promoter activity and involves a multi-protein complex containing Nuclear Respiratory Factor 1 (NRF-1), that binds and activates the promoter approximately 270 bp upstream from the transcription start site [65]. The decreased GABPβ expression was not attributed to altered NRF-1 expression, but instead to aberrant binding of a complex co-activator. To elucidate the mechanism behind the altered GABPβ promoter activation and subsequent down-regulation of BRCA1, identification of the complex co-activators is required to understand the basis for their aberrant promoter binding and activation. In this study, we set out to identify the unknown co-activators that comprise the GABPβ regulatory complex containing NRF-1. To this end, we developed an immobilized-template affinity assay similar to that which has proven useful in the identification of brahma-related gene 1 (Brg-1) and Specificity Protein 1 (Sp1) in the regulation of the SPARC promoter [121]. This assay allowed for the capture and purification of proteins from nuclear extracts, which were demonstrated to bind the GABPβ promoter at the site activated by the complex containing NRF1. Assay conditions were optimized to minimize the purification of non-specific DNA binding proteins, which is a frequent occurrence when proteins are isolated by DNA affinity. Here, we described the isolation of a complex containing NRF-1 that binds the GABPβ promoter. We also reported that in addition to the complex isolation, there were several non-specific binding proteins present, which made identification of the specific co-activators in the complex containing NRF-1 through mass spectrometry unattainable. A discussion on purification strategies to circumvent the presence of non-specific DNA-binding proteins is also presented. 22 2.3 Methods 2.3.1 Cells and cell culture The human mammary epithelial adenocarcinoma cell line, MCF-7, was obtained from the ATCC (Manassas, VA, USA). MCF-7 cells were maintained in RPMI 1640 medium supplemented with 10% fetal bovine serum, 100 units/ml penicillin, and 100 g/ml streptomycin, humidified at 37oC with 5% CO2. 2.3.2 Design of dual biotin-labelled probes The GABPβ promoter sequence spanning nucleotides -268/-251 bp upstream from the transcription start site was repeated in triplicate following an AGCT overhang to which a dual biotin label was bound at the 5’ end for Gb-270multiBT. The same region of the promoter was repeated in triplicate following a dual biotin-labeled AGCT with conserved mutations of residues -252/-251 for Gb-270(m10)multiBT. The mutated residues were predicted by TRANSFAC Alibaba 2.1 to abolish Sp1 binding to the probe. Full double stranded sequences of the probes are given in Figure 2-1. 2.3.3 Immobilized-template assays Immobilized-template assays were performed as described previously [121]. Two hundred micrograms of Dynabeads M280 streptavidin (Sigma Aldrich) was concentrated using a magnet and resuspended in 100 μl of buffer T (10 mM Tris [pH 7.5], 1 mM EDTA, 1 M NaCl). The beads were again concentrated and resuspended in buffer T for a total of three washes. The beads were then concentrated and resuspended in 16 μl of buffer T with 10 pmol of Gb-270multiBT or probe Gb-270(m10)multiBT. The mixture was agitated by flicking for 1 hr at room temperature (RT) and the beads were washed 3 times in 100 μl of buffer T to remove unbound probes. Beadcoupled probes were equilibrated in buffer R (10 mM Tris pH 7.5, 1 mM MgCl2, 0.1% IgePal, 1 23 mM EDTA, 10 mM DTT, 5% glycerol, 60 mM KCl, 12 mM HEPES pH 7.9, 0.03% BSA), buffer Z (25 mM HEPES pH 7.6, 60 mM KCl, 12.5 mM MgCl2, 1 mM DTT, 5% glycerol, 0.1% IgePal, 0.03% BSA), buffer Ze (25 mM HEPES pH7.6, 60 mM KCl, 1 mM DTT, 5% glycerol, 0.1% IgePal, 0.03% BSA), or buffer Ze (pH 7.0, 7.5, 8.0) for 30 min RT. Beads were centrifuged, isolated and resuspended in buffer R/Z/Ze, to which 200 μg MCF-7 nuclear extracts (prepared as described previously [65]) and 40 ng/μl poly (dG-dC) were added (120 μl final volume) and mixed for 30 min by flicking at 4oC. Beads were collected and unbound proteins were removed and saved. The beads were washed three times with buffer R/Z/Ze containing 10 ng/μl poly (dGdC). Bound proteins were either immediately eluted by boiling in 1X SDS loading buffer, or through gradient salt elution using buffer R/Z/Ze containing 100-1000 mM KCl with two washes performed and pooled for each salt concentration. The presence of ARID1A, Brg-1, Sp1, TBP, and NRF-1 were detected by Western blot analysis. Large scale immobilized-template assays were scaled up from the normal protocol by a factor of 5, utilizing 1 mg MCF-7 nuclear extracts with 600 μl binding and elution volume. 2.3.4 Immobilized-template competition assay MCF-7 nuclear extracts (100 μg) were pre-incubated with 50 pmol free NFY, Gb-270, Gb270multiBT, or m10 competitors in a final volume of 50 μl adjusted with buffer R, and gently agitated on ice for 30 min. Nuclear extracts with and without competitors were added to immobilized Gb-270multiBT or Gb-270(m10)multi BT (outlined above) which had previously been equilibrated with buffer R for 30 min RT. Beads with nuclear extracts and competitors were agitated for 30 min RT, after which beads were collected and unbound proteins isolated. Beads were washed three times with buffer R containing 10 ng/μl poly (dG-dC), and bound proteins 24 were eluted by boiling in 1X SDS loading buffer (2.5% sodium dodecyl sulfate, 25mM Tris-HCl pH 6.8, 100mM DTT, 10% glycerol). 2.3.5 Western blot analysis Isolated fractions were resolved on a SDS-polyacrylamide gel, transferred to PVDF membrane, and probed with the appropriate antibody. Primary antibodies included: anti-ARID1A (2035C5a, 1:500, Abcam), anti-Brg-1(H-88, 1:1000, Abcam), anti-Sp1 (H-225, Santa Cruz Biotechnology), anti-TBP (1TBP18, 1:2000, Abcam) and anti-NRF-1 (M01, 1:250, Abnova). Secondary antibody detection was performed using SuperSignal West Pico Chemiluminescence Substrate (Thermo Scientific/Fisher, Nepean, Canada). 2.3.6 Electrophoretic mobility shift assay (EMSA) Nuclear extracts (5 μg) or isolated fractions (2 μl of 120 μl volume) were combined with 32 P- labelled oligonucleotides (1 ng) in binding buffer (25 mM HEPES pH 7.6, 5 mM MgCl 2, 34 mM KCl, 50 μg/ml poly (dI-dC) (Sigma), 0.5 mg/ml bovine serum albumin (BSA)) and incubated on ice for 15 min. Samples were resolved on a 6% acrylamide 0.25 x TBE non-denaturing gel, after which the gel was fixed (20% ethanol, 10% acetic acid) and dried onto filter paper. The Gb-270, Gb-270m6 and RC4 oligonucleotide sequences have been previously reported in [65]. 2.4 Results 2.4.1 Isolation of the NRF-1 containing protein complex that binds the GABPβ promoter using an immobilized-template assay A multi-protein complex containing NRF-1 has previously been shown to regulate the GABPβ proximal promoter, -268/-251 bp upstream of the transcription start site [65]. To identify additional proteins in this complex that bind -268/-251, an immobilized template affinity assay was employed. The -268/-251 sequence of the promoter was multimerized to increase capture of 25 the protein complex, and dual biotin-tagged to allow for immobilization on streptavidin-coated magnetic beads (Figure 2-1a). TRANSFAC AliBaba 2.1 transcription factor prediction software was utilized to identify potential artificial binding sites created by multimerizing -268/-251, and identified a restored Sp1 binding site from two native binding sites present at either end of -268/251 (Figure 2-1a). Several nucleotides not required for binding by the GABPβ regulatory complex, but key for the artificial Sp1 binding site in the multimer, were mutated to abolish Sp1 binding which was confirmed with prediction software. This mutated -268/-251 multimer was dual biotin-tagged for an additional immobilized-template predicted to have reduced non-specific protein binding (Figure 2-1b). Previous unpublished work using a maltose binding protein-fused NRF-1 affinity column and EMSA identified the SWI/SNF proteins Brg-1 and ARID1A (AT rich interactive domain 1A) as potential members of the -268/-251 regulatory complex. Binding of Brg-1, ARID1A, NRF-1 and Sp1 to the multimerized -268/-251 was substantiated with Western blot analysis of the immobilized-template assay column eluate in the presence and absence of excess free -268/-251 monomer and multimer competitors to assess binding specificity (Figure 2.2). Although binding to the immobilized -268/-251 multimer by Brg-1 and ARID1A and NRF-1 could be demonstrated, only NRF-1 could be confirmed as binding specifically. While the majority of NRF-1 was retained by the multimer, there was substantial unbound Brg-1 and ARID1A. Also, free monomer and multimer was able to compete for NRF-1 binding resulting in reduced recovery from the immobilized template, with no substantial effect on Brg-1 and ARID1A. Therefore, the observed association of Brg-1 and ARID1A with the -268/-251 multimer is likely the result of non-specific binding. Additionally, Sp1 was observed to bind the -268/-251 26 A. NRF-1 Sp1 B. NRF-1 Figure 2-1: Dual biotin-tagged probe for DNA affinity assay. Schematic representation of the 66bp immobilized template containing the multimerized GABPβ promoter sequence, with a dual biotin (BT) tag at the 5’ end. The nucleotide sequence of the GABPβ promoter located -268 to -251bp (Gb-270) upstream of the transcription start site is enclosed by solid boxes and repeated in triplicate for Gb-270multiBT (A) with predicted NRF-1 and Sp1 binding site indicated with dashed and solid lines, respectively. Gb-270(m10)multiBT (B) is derived from (A) with dashed boxes indicating mutated residues in Gb-270, predicted to abolish non-specific Sp1 binding to the probe. Binding site predictions were obtained from sequence analysis using TRANSFAC AliBaba 2.1. 27 Figure 2.2. Proteins bind non-specifically to the GABPβ promoter in an immobilizedtemplate assay. Nuclear extracts were prepared from MCF-7 cells. Proteins which bind to Gb270multiBT (Elution) were isolated from the nuclear extracts (Unbound) using the immobilizedtemplate assay and subjected to Western blot analysis with antibodies against ARID1A, Brg-1, SP-1 and NRF-1, with non-specific binding to beads assessed (Beads Only). Specificity of binding was determined by pre-incubating proteins with free competitors in separate assays prior to addition to the immobilized-template. Competitors included NFY probe (NFY) lacking the binding site, Gb-270 (Gb-270), or Gb-270(m10) (m10). 28 multimer in the presence and absence of competitors suggesting its association is also nonspecific, supporting the need for a mutated -268/-251 multimer to reduce non-specific binding. 2.4.2 Non-specific binding proteins elute with NRF-1 from the immobilized-template In an attempt to isolate NRF-1 and its associated regulatory complex from proteins binding the -268/-251 multimer non-specifically, a gradient salt elution of bound proteins was performed to preferentially disrupt binding of weaker binding non-specific proteins using low salt, while maintaining complex binding which should dissociate from the template at higher salt concentrations. The gradient salt elution was performed with the -268/-251 multimer and mutated multimer (Figure 2.3). Although NRF-1 was observed to elute between 300-400 mM KCl with both immobilized templates, there was considerable overlap with the non-specific binding Brg-1, ARID1A and Sp1. There was a general reduction in protein binding with the mutant -268/-251 multimer, but this included both non-specific proteins and NRF-1. The binding of Sp1 to both the -268/-251 multimer and mutated multimer suggests that either the mutated residues of the multimer were not sufficient to disrupt DNA binding at the artificial binding site, or that Sp1 is binding non-specifically with Brg-1 and ARID1A to the DNA or bound proteins potentially mediated by the binding and elution conditions. 2.4.3 Optimization of the immobilized-template binding and elution conditions The effects of divalent metal ion cofactors such as magnesium on protein-DNA interactions are varied, with its presence observed to enhance sequence specific binding [122], weaken protein-DNA interactions, or leave them unaffected [123]. Immobilized template assays were therefore conducted with the -268/-251 multimer in the presence or absence of magnesium in the binding and elution buffers, or a combination of binding in the presence of magnesium and elution without it. Following gradient salt elution of bound proteins, there was generally an 29 A. B. Figure 2.3. Non-specific proteins elute with NRF-1 in a gradient salt elution. Nuclear extracts from MCF-7 cells were incubated with Gb-270multiBT (A) andGb-270(m10)multiBT (B) in an immobilized-template assay. Bound proteins were isolated from nuclear extracts (unbound) and rinsed with binding buffer (wash), prior to gradient elution using wash buffer containing 60-600 mM KCl, and a final elution (elute) with high heat. Isolated proteins were then subjected to Western blot analysis with antibodies against ARID1A, Brg-1 and NRF-1. 30 increased separation of the elution profiles between NRF-1 and the non-specific proteins. In the absence of magnesium (Figure 2.4a) and in the presence of 12.5 mM MgCl2 (Figure 2.4b), NRF1 was observed to elute between 300-500 mM KCl while the non-specific proteins were present in fractions up to 300 mM KCl. Although the elution profiles were similar in both conditions, the relative quantities of eluted proteins in the fractions differed. Within the elution range for NRF-1, the majority eluted at the higher salt concentrations using the buffer without magnesium, and at the lower salt concentrations in the presence of magnesium. Additionally, subsequent large scale assays revealed increased retention of non-specific proteins which overlap with the elution of NRF-1 in the presence of Mg2+, but is diminished in conditions without it (Figure 2.4c). In contrast, protein binding in the presence of 12.5 mM MgCl2 and gradient salt elution without magnesium resulted in considerable overlap between NRF-1 and Brg-1 (Figure 2.4d), suggesting that binding and elution conditions without magnesium are optimal for minimizing non-specific binding while maintaining NRF-1 and presumably complex formation. Both protein-protein and protein-DNA interactions are known to be dependent on pH which influences the binding energy resulting from changes in protonation state [124,125]. Therefore, the pH of the modified binding and elution buffer without magnesium was varied between the physiological pH 7.0-8.0 to further minimize non-specific binding, assessed by Brg-1 retention, while maintaining NRF-1 binding at higher salt concentrations, which were examined by Western blot analysis (Figure 2.4e,f). Non-specific and NRF-1 binding were shown to be dependent on pH, as increases in pH from 7.0 to 8.0 were observed to decrease the DNA binding activity of Brg-1 to the immobilized -268/-251 multimer, with reduced NRF-1 retention only observed at pH 8.0. However, there was still substantial overlap in the elution of Brg-1 and NRF1 under these conditions. Based on these observations, the optimized immobilized template assay 31 B. A. - Mg2+ + Mg2+ C. D. E. F. Figure 2.4. Optimization of elution conditions with Mg2+ and pH variation. Nuclear extracts were incubated with Gb-270multiBT in an immobilized-template assay. Proteins were bound and eluted with a gradient salt elution in Buffer Ze without magnesium (A), in Buffer Z with 12.5mM magnesium (B), or bound in Buffer Z and eluted in Buffer Ze (D). Large scale immobilizedtemplate assays were performed with Buffer Ze or Buffer Z, and non-specific binding assessed by Western blot analysis for Brg-1 (C). The pH of Buffer Ze was varied between pH 7.0-8.0 and proteins were bound and eluted with a gradient salt elution (E) and (F). Isolated proteins were subjected to Western blot analysis with antibodies against Brg-1, NRF-1 and TBP. 32 conditions to retain NRF-1 and likely the regulatory complex binding while minimizing nonspecific DNA binding consisted of reactions carried out at pH 7.5 using binding and elution buffer without magnesium. 2.4.4 Isolated fractions containing NRF-1 are not consistent with complex formation To verify the presence of the GABPβ -268/-251 regulatory complex in the fractions containing NRF-1 isolated using the immobilized -268/-251 multimer with optimized conditions (Figure 2.4e-f, pH 7.5), several EMSAs were performed. The -268/- 251 complex binding sequence (Gb-270) and an oligonucleotide containing an NRF-1 binding site from the rat cytochrome c promoter (RC4) [126] were utilized as probes. Initial EMSAs using these labeled probes revealed some discordance between the NRF-1 containing fractions observed between 200-400 mM KCl using the RC4 probe, and those that produced a shift (C) with the Gb-270 probe which demonstrated complex formation between 100-200 mM KCl (Figure 2.5). This discrepancy was not surprising, as it is possible that the GABPβ regulatory complex containing NRF-1 dissociates from the immobilized -268/-251 multimer over multiple salt elution fractions. This fractionated elution of the complex is supported by the different protein-protein and proteinDNA interactions that exist within this complex. It has been proposed that NRF-1 binds the -268/251 promoter sequence as a homodimer, with an additional unknown protein (X) making limited contact with the upstream promoter and requiring interactions with NRF-1 for stability [65]. A third unknown protein (Y) of the complex binds NRF-1 + X and has no contact with the promoter. Additionally, it has been demonstrated that a partially assembled regulatory complex containing only NRF-1 and protein X is able to shift Gb-270 in an EMSA, producing a faster migrating complex than the entire NRF-1+X+Y regulatory complex [65]. Therefore, if protein X was present in any fraction other than 100-200 mM KCl where a shift is already observed, then a 33 Figure 2.5. Fractions containing NRF-1 are not consistent with complex formation. Isolated fractions from the immobilized-template assay with Gb-270multiBT and Buffer Ze (pH 7.5) (Figure 2.4 e-f) were used in an EMSA with labeled oligonucleotide having a known NRF-1 binding site (RC4), and Gb-270 with the NRF-1 containing complex binding site. NRF-1 binding (NRF-1), complex binding (C), non-specific binding (NS), and free probe (F) are indicated. 34 faster migrating complex containing NRF-1 would be observed. To test the possibility of a fractionated complex during isolation, a reconstitution EMSA was performed whereby the NRF-1 containing 300 mM KCl fraction was added in equal volume to each of the gradient salt eluted fractions, and the ability of each fraction to bind the GABPβ promoter was assessed using the Gb270 probe (Figure 2.6). Despite the addition of NRF-1 to the isolated fractions, there were no additional shifts observed with the Gb-270 probe, as binding complexes (C) were again observed in the 100-200 mM KCl fractions. The absence of additional shifts with NRF-1 supplemented fractions suggests that either protein X and Y are only present in the 100-200 mM KCl fractions with non-specific proteins where a shift is already observed, or the -268/-251 regulatory complex was not isolated using the immobilized-template assay and is present in the unbound fraction, with the shifts observed at the lower salt fractions the result of non-specific DNA binding proteins. 2.4.5 Evaluation of binding specificity to -268/-251 by fractions isolated using the immobilizedtemplate assay Despite the use of free competitor DNA to deplete non-specific DNA-binding proteins and the optimization of binding and elution conditions, the presence of non-specific proteins using immobilized-template assays is a frequent occurrence. To verify the specificity of binding of the isolated complex to the GABPβ promoter at -268/-251, an EMSA was performed using a mutated Gb-270 probe. The mutant probe (Gb-270 m6) contains conservative nucleotide substitutions of residues -267/-265 which have been previously shown to disrupt formation of the regulatory complex in an EMSA [65]. A shift of the Gb-270 m6 probe by the isolated fractions but not with MCF7 whole cell lysate (WCL) positive control would indicate the enrichment of non-specific DNA binding proteins in the isolated fractions. When the Gb-270 m6 probe was 35 Figure 2.6. NRF-1 supplemented fractions do not mediate additional complex formation. Equal amounts of fractions isolated from the immobilized-template assay with Gb-270multiBT and Buffer Ze (pH 7.5) and the NRF-1 containing 300 mM fraction were combined and used in an EMSA with labeled RC4 and Gb-270 oligonucleotide. NRF-1 binding (NRF-1), complex binding (C) and free probe (F) are indicated. 36 Figure 2.7. Complex binding is diminished upon binding site mutation. A Gb-270 m6 oligonucleotide with residues mutated to abolish complex binding was used in an EMSA with fractions isolated from the immobilized-template assay with Gb-270multiBT and Buffer Ze (pH 7.5). Complex binding (C), non-specific binding (NS) and free probe (F) are indicated. 37 used in an EMSA with fractions isolated from the immobilized template assay (Figure 2.4 e-f, pH7.5), diminished complex formation was observed with the MCF7 WCL positive control and the isolated immobilized-template fractions (Figure 2.7).However, the absence of a shift in any of the isolated fractions is not conclusive of binding specificity to Gb-270, especially as previous Western blot analysis indicated the presence of the non-specific binding Brg-1 in fractions 200400 mM KCl (Figure 2.2F, pH 7.5). Therefore, these results collectively suggest that the binding observed with Gb-270 is at least in part due to non-specific DNA binding proteins. 2.5 Discussion GABP is involved in the transcriptional regulation of genes responsible for cell cycle control, apoptosis, and differentiation [85]. With BRCA1 being one of its regulatory targets, elucidation of the mechanisms regulating GABP expression could prove useful in the understanding of human pathologies including sporadic breast cancers, as decreased GABPβ promoter activation has been shown to result in low levels of BRCA1 in the tumorigenic SK-BR3 mammary cell line [65]. Our present study attempted to identify co-activators of the GABPβ promoter that have been shown to form a regulatory complex with NRF-1 (NRF-1+X+Y) approximately 270 bp upstream from the transcription start site (Gb-270). Our approach used an immobilized-template affinity assay with the promoter-binding sequence of this complex. Previous unpublished work suggested that the SWI/SNF subunit proteins ARID1A and Brg-1 formed part of this regulatory complex with NRF-1. A maltose-binding protein fused NRF-1 affinity column was initially used to isolate fractions containing NRF-1 binding proteins that form a complex in the absence of a DNA scaffold. This was followed by an EMSA with Gb-270 to determine which fractions could bind the GABPβ promoter. These fractions were then analyzed by mass spectrometry to identify possible binding proteins, which included ARID1A and Brg-1. The SWI/SNF complex regulates gene expression through the modification of 38 chromatin structure using the energy derived from ATP hydrolysis [127]. As it has no intrinsic ability to bind DNA, it requires transcription factors to recruit it to promoters [128]. This is consistent with the proposed complex binding structure at the GABPβ promoter as NRF-1 has been suggested to bind the GABPβ promoter while recruiting co-activators X and Y to the promoter through protein-protein interactions. Evidence of its involvement in cancer comes from the roles of several of its subunits, namely Brg-1, ARID1A and SMARCB1, which act as tumor suppressors [129]. Despite these findings, our competition assay using the immobilized-template suggested that these proteins were binding non-specifically (Figure 2.2). These results are supported by the literature which maintains that unlike most ARID family proteins which preferentially bind ATrich sequences, ARID1A is able to bind DNA without sequence specificity [130,131]. Additionally, its affinity for non-specific DNA sequences is maintained up to at least 200 mM KCl [130], which is consistent with our observations during the immobilized-template salt elution (Figure 2.3). Furthermore, ARID1A is known to promote the formation of the SWI/SNF chromatin remodeling complex containing the alternative catalytic cores Brg-1 or Brm [132], and has been shown to interact directly with Brg-1 mediated by its helicase/SANT-associated (HSA) domain [133]. It is also possible that Brg-1 is binding to the promoter through protein-protein interactions with Sp1, which also appears to bind non-specifically. An interaction between Sp1 and Brg-1 has already been demonstrated at the SPARC promoter, where Sp1 was demonstrated to recruit Brg-1 to the promoter [121]. Therefore, the non-specific binding of Sp1 could be mediating additional binding of Brg-1 and ARID1A to the immobilized GABPβ promoter through protein-protein interactions. Unfortunately, these non-specific DNA-binding proteins were shown to be present in the fractions containing NRF-1 despite buffer optimization, with 39 some discrepancy between the fractions containing NRF-1 and those observed to complex at the GABPβ promoter in an EMSA. This suggests that the regulatory complex proteins are dissociating from the template over multiple isolated fractions, and that if the complex is present in the 100-200 mM KCl fractions that are able to shift Gb-270, there are also contaminating nonspecific DNA-binding proteins present, which prevents mass spectroscopy analysis of the entire fraction to identify the complex co-activators. GABP and NRF-1 function as DNA-binding transcriptional regulators of mitochondrial biogenesis, and frequently work in conjunction as regulators of nuclear-encoded mitochondrial proteins required for oxidative phosphorylation [97,100]. As the protein-coding capacity of the mitochondrial genome is limited, the expression of several nuclear-encoded genes is required during mitochondrial biogenesis [97]. Therefore, coordinated expression of the nuclear and mitochondrial genomes during mitochondrial biogenesis requires the coordinated induction and regulatory activity of several proteins including GABP and NRF-1. As a complex containing NRF-1 has been shown to regulate the GABPβ promoter, it is likely that the unidentified coactivators that complexes with NRF-1 are also involved in the regulation of mitochondrial biogenesis. The peroxisome proliferator-activated receptor gamma co-activator (PGC)-1 family members (PGC-1α, PGC-1β and PGC-1 related co-activator (PRC)) are nuclear transcriptional co-activators that serve as key regulators of the transcriptional network controlling mitochondrial biogenesis and function [98]. This family of co-activators interacts with a number of nuclear DNA-binding transcription factors and hormone receptors including NRF-1, GABP, ERRα, and PPARα/γ among others to integrate nuclear gene expression with mitochondrial biogenesis [97,98]. Through direct binding to NRF-1 in mouse myoblasts, PGC-1α has been shown to 40 transcriptionally activate several NRF-1 target genes, with a dominant negative NRF-1 lacking the trans-activation domain able to abrogate this effect [104]. PGC-1β requires an interaction with both NRF-1 and ERRα to activate several NRF-1 target genes, where both transcription factors are required for maximal promoter activation [134]. PRC has been show to interact with NRF-1 to activate the cytochrome c promoter in vitro [135]. As a direct regulatory interaction between NRF-1 and all members of the PGC-1 family of co-activators has already been shown to exist, it is possible that one of these co-activators forms part of the regulatory complex with NRF1 at the GABPβ promoter. Additionally, decreased expression of PGC-1 co-activators have been observed in human breast [136,137], colon [138] and ovarian [139] tumor samples, and given their role in mitochondrial biogenesis, disruption of PGC-1 co-activator function has been shown to result in mitochondrial dysfunction in a number of diseases [140,141]. Interestingly, cancer cells exhibit an altered metabolic program known as the Warburg effect, whereby there is a preference to perform glycolysis over oxidative phosphorylation despite a sufficient oxygen supply to support mitochondrial metabolism. Although it has yet to be demonstrated, disrupted PGC-1 co-activator expression could contribute to the low BRCA1 levels characteristic of sporadic breast cancers through its aberrant interaction with NRF-1 at the GABPβ promoter, while also contributing to the altered metabolism observed in breast tumor cells. Therefore, further experimentation is needed to support a role for PGC-1 co-activators in this regulatory network. Identifying DNA-binding transcription factors and protein complexes based on their affinity for DNA using an immobilized-template is a widely used approach, and has been successfully used in the isolation of transcription factors including Sp1 and activator protein 1 (AP-1) [142], and protein complexes including the NFAT transcriptional complex [143]. The 41 isolation of Sp1 and AP-1 involved the use of competitor DNA during two successive affinity purification steps with the oligonucleotide containing the DNA-binding sequence bound to CNBr-activated Sepharose. This assay utilized buffer containing 100 mM KCl, 12.5 mM MgCl2, and a pH 7.8, with a gradient salt elution of bound proteins. Although Sp1 and AP-1 were purified to near homogeneity, there were still non-specific binding proteins present. Further purification steps including the use of additional DNA-Sepharose resins with oligonucleotides having different flanking sequences would be necessary to isolate a homogeneous solution of the desired protein. In contrast to the purification of already identified transcription factors, the isolation of novel co-activators in a protein complex can be exemplified by Yang and Chow [143]. The identification of PARP-1 as an NFAT transcriptional co-activator important in immune response was achieved using an immobilized biotin-labeled PPARγ2 proximal NFATbinding oligonucleotide in the presence of poly (dI-dC). A competition assay similar to ours was also performed using free oligonucleotide to determine the specificity of isolated proteins. In both assays the bound proteins were immediately eluted and resolved using SDS-PAGE, and stained. Proteins binding specifically to the oligonucleotide demonstrated reduced binding in the presence of competitors, and following gel excision and digestion with trypsin, were identified using MALDI-TOF (matrix-assisted laser desorption/ionization – time of flight) mass spectrometry. This was necessary as there was substantial non-specific binding observed in their assay eluate. Therefore, although it appears our strategy using an immobilized-template assay with optimized conditions is valid, it remains incomplete. Our aim to analyze the entire isolated fraction was plagued with the presence of non-specific DNA-binding proteins including ARID1A and Brg-1 that eluted from the immobilized-template in the same fraction as NRF-1 and presumably the coactivators of the regulatory complex. However, additional experimentation that would include a 42 comparison between proteins immediately eluted from the immobilized-template in the presence and absence of GABPβ competitors would reveal which proteins are binding specifically. These proteins could be resolved using SDS-PAGE, excised and identified by mass spectroscopy, or the entire fractions obtained with and without competitors could be analyzed with a subtractive assessment of the fraction contents. The latter would ensure that all bound proteins would be accounted for and would circumvent the reliance on protein visualization and gel excision techniques. 2.6 Conclusions The isolation and identification of co-activators at the GABPβ promoter that form a regulatory complex with NRF-1 was attempted using an immobilized-template assay. While the assay isolated proteins including NRF-1 that could bind the promoter, there was substantial nonspecific binding observed that could not be abolished through optimization of binding and elution conditions, which prevented identification of the isolated proteins using mass spectroscopy. Therefore, further experimentation is needed to distinguish between the non-specific DNAbinding proteins and the co-activators that complex with NRF-1 at the GABPβ promoter. 2.7 Acknowledgements We would like to thank Crista Thompson, Rachael Klinoski, Valerie Kelly-Turner, and Sherri Nicol for their excellent technical assistance. This work was funded by a grant from the Canadian Breast Cancer Foundation – Ontario Region. 43 CHAPTER 3: The role of NRF-1 in BRCA1-mediated differentiation and mammary gland tumourigenesis 3.1 Abstract Background: BRCA1 is a tumor suppressor that contributes to the maintenance of genome integrity, with a regulatory role in luminal progenitor differentiation. Decreased expression of BRCA1 is characteristic of basal-like tumors, which arise from undifferentiated luminal progenitors. NRF-1 and GABPβ have been shown to function in a regulatory network with BRCA1, while also regulating the expression of genes required for mitochondrial metabolism. While both breast differentiation and mitochondrial metabolism are frequently disrupted in breast cancer, it remains unclear whether there is a direct role for NRF-1 in BRCA1-mediated differentiation. Results: In the present study, we utilized a doxycycline-inducible lentiviral system to generate NRF-1 knockdown cell lines to examine its effect on differentiation mediated by BRCA1. When these cells differentiate, there is significant infilling of the luminal space and altered cell polarization in the observed cell structures. In monolayer cells, NRF-1 knockdown does not result in decreased BRCA1 expression. However, evaluation of the mitochondrial metabolism of these NRF-1 depleted cells revealed notable mitochondrial dysfunction. Furthermore, there was decreased expression of several NRF-1 targets genes involved in mitochondrial metabolism and mitochondrial-induced apoptosis, which are likely required for maintenance of a hollow luminal space. Conclusion: Overall, our results reveal a potential role for NRF-1 in mediating apoptosis during mammary ductal morphogenesis through the maintenance of normal mitochondrial function, and 44 although its activity has been shown to moderate BRCA1 expression, the involvement of NRF-1 in BRCA1-mediated differentiation remains undetermined. 3.2 Background The mammary gland structure is derived primarily from epithelial progenitor cells of basal or luminal lineage which gives rise, respectively, to cells forming the exterior or lining the interior of hollow mammary ducts [144]. The basal lineage generates a cell layer which consists primarily of differentiated myoepithelial cells [145], with several mammary stem cells also embedded within this layer [21,144]. Cells of luminal origin include ductal and alveolar cells, the latter of which arises during pregnancy and serves as the milk-producing unit during lactation [144]. The tumor-suppressor gene BRCA1 (breast cancer 1, early onset) has been proposed to regulate luminal progenitor cell differentiation, with reduced expression shown to result in an accumulation of undifferentiated stem and progenitor cells which are suggested to serve as prime targets for tumourigenesis [36,64]. Furthermore, knockdown of BRCA1 impairs the formation of mammary acini in an in vitro 3D culture which mimics in vivo mammary ductal morphogenesis, which supports a role for BRCA1 in mammary differentiation [63]. Breast tumors associated with a significant reduction in BRCA1 expression characteristically have a basal-like phenotype, and have been shown to originate from undifferentiated luminal epithelial progenitors [35,146]. Therefore, determining the basis for the decreased BRCA1 expression in breast tumors could provide insight into the etiology of these undifferentiated basal-like tumors. The GA-binding protein (GABP) is a well characterized transcriptional regulator of BRCA1 expression [45], and exists as an obligate multimer consisting of a pair of GABPα/β heterodimers where GABPα seves as the DNA-binding subunit and GABPβ mediates transactivation [85,86]. Tetramerization of 45 two GABPα/β heterodimers forms the transcriptionally active GABP, which has been demonstrated as being a crucial regulator of several genes involved in the maintenance and differentiation of hematopoietic stem and progenitor cells [92]. This role for GABP can likely be extended to the mammary gland through its regulation of BRCA1, which has been determined to be crucial for mammary stem and progenitor cell differentiation [64]. Recently, BRCA1 expression has also been shown to be dependent on Nuclear Respiratory Factor 1 (NRF-1), which regulates the GABPβ promoter [65]. Interestingly, GABP and NRF-1 coordinately regulate the expression of several nuclear encoded genes that are essential components of mitochondrial metabolism [97]. Breast tumors frequently demonstrate a shift in metabolism [147] where they primarily metabolize glucose by aerobic glycolysis, rather than the mitochondrial oxidative phosphorylation performed by normal cells; a phenomenon known as the Warburg effect [109]. Therefore, down-regulation of BRCA1 through reduced NRF-1/GABPβ expression could result in an accumulation of undifferentiated luminal progenitor cells, in addition to a shift towards the classical metabolic phenotype of cancer cells, providing a link between differentiation and cell metabolism. In this study, we set out to investigate the regulatory role of NRF-1 during BRCA1mediated differentiation of pluripotent mammary cell lines, and to evaluate the importance of mitochondrial metabolism in this process. We show that reduction of NRF-1 expression by an inducible lentiviral shRNA causes a failure of mammary acinar formation in 3D culture, but in 2D culture does not result in a sustained decrease in expression of GABPβ/BRCA1. We also describe the mitochondrial dysfunction resulting from NRF-1 depletion, which accompanies decreased expression of several nuclear encoded mitochondrial genes potentially involved in hollow lumen formation and maintenance through the induction of caspase-dependent apoptosis. The data presented here suggest that NRF-1 plays a role in mammary ductal morphogenesis 46 potentially through its regulation of mitochondrial metabolism and caspase-dependent cell death, with its role in BRCA-1 mediated differentiation requiring further investigation. 3.3 Methods 3.3.1 Cells and cell culture The human non-tumorigenic mammary epithelial cell line MCF-10A was obtained from the ATCC (Manassas, VA, USA), while the 184hTERT cell line [148] was a gift from Dr. Calvin Roskelley. MCF-10A cells were maintained in DMEM-F12 with L-glutamine (HyClone) supplemented with 5% horse serum (Invirogen, Burlington, Canada), 20 ng/ml epidermal growth factor (Invitrogen), 10 μg/ml insulin (Sigma), 0.5 μg/ml hydrocortisone (Sigma), 100 ng/ml cholera toxin (Sigma), 100 units/ml penicillin and 100 μg/ml streptomycin. 184hTERT cells were maintained in MEBM media (Clonetics) supplemented with SingleQuot kit (Clonetics), 400 μg/ml G418 (BioShop, Burlington, Canada), 1 μg/ml transferrin (BD, Mississauga, Canada), and 1.25 μg/ml isoproterenol (Sigma). Both cell lines were maintained at 37oC with 5% CO2. 3.3.2 Lentiviral production and transduction HEK 293T cells obtained from Dr. David LeBrun were plated for transfection at 5.5 x 106 cells/100mm plate in DMEM supplemented with 10% fetal bovine serum, 100 units/ml penicillin, and 100 g/ml streptomycin, and humidified at 37oC with 5% CO2 for 24 hours. HEK293T cells were transfected with the following plasmids using the Fugene 6 transfection reagent (DNA:Fugene, 1:4) (Promega): packaging vector psPAX2 (11.3 μg/100mm plate), envelope vector pMD2.G (5.7 μg/100mm plate) and either non-silencing pTRIPZ-shRNAmir control (RHS4743) or NRF-1 targeted silencing pTRIPZ-shRNAmir (V2THS_20255) (17 μg/100mm plate) from Open Biosystems (Thermo Fisher Scientific). Lentiviral supernatants were collected after 48 and 72 hours post-transfection and immediately filtered with a 0.45 μm PVDF filter and 47 frozen at -80oC, producing viral titers of 105-106 transducing units/ml. 184hTERT and MCF-10A cells were plated at 5 x 104 cells/ml in 100mm plates and incubated at 37oC with 5% CO2 for 24 hours. Cell media was removed from the plates and 5 ml serum-free media supplemented with 10 μg/ml polybrene (H9268, Sigma) was added. Cells were transduced with the lentiviral supernatant shRNA-control at a multiplicity of infection (MOI) of 1 and 2 (named ctrl-m1 or ctrlm2) or shRNA-NRF-1 at a multiplicity of infection (MOI) of 1, 2 and 6 (named shNRF1-m1, m2, -m6) added directly to the serum-free media. Following 4 hours incubation at 37oC with 5% CO2, media was removed and replaced with 10 ml regular culture media. Cells were incubated for 24 hours at 37oC with 5% CO2 and media was replaced with regular culture media containing 0.5 μg/ml puromycin to select for cells that stably express the shRNA plasmid. The shRNA was induced by treating cells with 1 μg/ml doxycycline with daily replenishment directly to cells in culture media. 3.3.3 Acini The three-dimensional culture of 184hTERT and MCF-10A cells on Matrigel was performed as previously described [149], with the following modifications: Matrigel was spread onto precooled 12-well plates prior to incubation at 37oC with 5% CO2 in a cell culture incubator to solidify the basement membrane, after which a total of 3500 cells/well were plated in assay media (DMEM-F12 containing 2% horse serum, 100 ng/ml cholera toxin, 0.5 μg/ml hydrocortisone, 10 μg/ml human insulin, 100 units/ml penicillin, and 100 g/ml streptomycin, and 5 ng/ml epidermal growth factor) containing 2% Matrigel overlay. For induction of transduced lentiviral cells with doxycycline, the assay media overlay was supplemented with 1 μg/ml doxycycline with daily replenishment. 48 3.3.4 Preparation of whole cell lysates For NRF-1 knockdown time course, cells were plated in a 6-well plate at 8.75 x 104 cells/well or in 100 mm plates at 3.5 x 105 cells/plate in regular culture media. Cells were incubated for 24 hours at 37oC with 5% CO2 after which cells were put into puromycin selection and appropriate wells/plates were treated with doxycycline with daily replenishment. Seventy-two hours following doxycycline treatment, cells were lysed using 1 x SDS-PAGE loading buffer (2.5% sodium dodecyl sulfate, 25mM Tris-HCl pH 6.8, 100mM DTT, 10% glycerol) supplemented with protease and phosphatase inhibitors (1 mM EDTA, 1 mM PMSF, 1 μg/ml each of aprotinin, leupeptin and pepstatin, 1 mM sodium orthovanadate, 1 mM NaF) and frozen at -20oC. 3.3.5 Western blot analysis Whole cell lysates were resolved on a SDS-polyacrylamide gel, transferred to PVDF membrane, and probed with the appropriate antibody. Primary antibodies included: anti-NRF-1 (M01, 1:250, Abnova), anti-TBP (1TBP18, 1:2000, Abcam), anti-BRCA1 (0P92, 1:500, Calbiochem, San Diego, CA, USA), anti-GABPα (H-180, 1:500, Santa Cruz Biotechnology) and anti-GABPβ (H265, 10x, 1:5000, Santa Cruz Biotechnology). Secondary antibody detection was performed using SuperSignal West Pico Chemiluminescent Substrate (Thermo Scientific/Fisher, Nepean, Canada). 3.3.6 Quantitative real-time PCR (qRT-PCR) RNA was isolated using the Genelute Mammalian Total RNA Miniprep Kit (Sigma). Quantitative real-time PCR (qRT-PCR) reactions were carried out using specific TaqMan gene expression probes for human NRF-1 (Hs00192316_m1, FAM), BRCA1 (Hs01556193_m1, FAM), GABPα (Hs01022016_m1, FAM), GABPβ (Hs00242573_m1, FAM), Tfam (Hs00273372_s1, FAM), and cytochrome c (Hs01588974_g1, FAM) (all from Life Technologies Incorporated). Human hypoxanthine phosphoribosyltransferase 1 HPRT-1 (Hs99999909_m1, VIC, Life Technologies 49 Incorporated) was used as a normalization control. Reactions were performed using the SuperScript® III Platinum® One-Step Quantitative RT-PCR System (Invitrogen) with 25 ng RNA per reaction and TaqMan probes specified above. Reverse transcription of RNA to cDNA and subsequent amplification was done sequentially in one tube. The PCR protocol consisted of 1 cycle for cDNA conversion and enzymatic activation (15 min at 50oC and 2 min at 95oC) followed by 40 cycles (15 sec at 95oC, 30 sec at 60oC). Gene expression was expressed relative to the wild-type control using the delta-delta Ct method described by PE Applied Biosystems (Perkin Elmer, Forster City, CA, USA). 3.3.7 Dual luciferase assay Approximately 48 hours prior to transfection, uninduced lentiviral cells (184hTERT and MCF10A shNRF1-m1) were plated in 12-well plates at 3.5 x 104 cells/well. Cells were incubated for 24 hours at 37oC with 5% CO2 after which 72 hr induced shNRF1-m1 cells were treated with 1 μg/ml doxycycline; 24 hr induced shNRF1-m1 and uninduced received no treatment. Prior to transfection, media was replaced for all cells with regular culture media without doxycycline. Cells were transfected in triplicate using a total of 250 ng DNA per well with 0.75 μl/well FuGENE 6 (Roche, Laval, Canada) according to the manufacturer’s protocol. In each well, 25 ng cytomegalovirus (CMV)-luc internal control vector (Promega) and 225 ng of the appropriate Renilla luciferase GABPβ reporter vector (pRL) was added. Approximately 6 hours posttransfection, 1 μg/ml doxycycline was added directly to the cell media for 72 hr shNRF1 induced cells only. Approximately 24 hours post-transfection, 24 hr and 72 hr shNRF1 induced cells received 1 μg/ml doxycycline treatment. Approximately 48 hours post-transfection, all cells were washed with phosphate buffered saline (PBS), lysed in 150 μl passive lysis buffer (Promega), and 50 assayed with the Dual-luciferase® Reporter Assay System according to the manufacturer’s protocol (Promega) using an EG&G Berthold microplate luminometer. 3.3.8 Mitochondrial function assay 184hTERT and MCF-10A wild-type and shNRF1-m1 cells (uninduced and 72 hr doxycycline induced) were plated in duplicate using regular culture media in 6-well plates at 3.5 x 104 cells/well and allowed to incubated for 24 hours at 37oC with 5% CO2. Media was removed and replaced with reduced culture media for 184hTERT: RPMI 1640 without glucose [R6504, Sigma], supplemented with 2.0 g/L sodium bicarbonate (Sigma), 10% fetal bovine serum, 100 units/ml penicillin, and 100 g/ml streptomycin; and MCF-10A: DMEM without glucose or Lglutamine [D5030, Sigma], supplemented with 0.584 g/L of L-glutamine, 3.7 g/L sodium bicarbonate, 5% horse serum (Invitrogen, Burlington, Canada), 100 ng/ml cholera toxin (Sigma), 100 units/ml penicillin and 100 μg/ml streptomycin) containing 10 mM glucose or galactose. Cells were maintained in appropriate treatment (1 μg/ml doxycycline or DIUF H2O vehicle), with reduced culture media being replaced daily. Cells were lifted using 1x trypsin-EDTA and counted using a hemocytometer following 1, 2, 3 and 5 days of growth in reduced culture media containing glucose or galactose. 3.4 Results 3.4.1 Mammary epithelial cells with decreased NRF-1 expression demonstrate abnormal aciniar morphogenesis NRF-1 has been previously shown to regulate the GABPβ promoter, and its aberrant activation results in decreased BRCA1 expression [65]. As luminal cell differentiation is dependent on BRCA1 expression [64], we evaluated the role of NRF-1 in mammary epithelial cell differentiation. Inducible NRF-1 knockdown was achieved through transduction of human 51 non-tumorigenic mammary epithelial cells (184hTERT and MCF-10A) with increasing amounts of shRNAmir lentiviral vectors (MOI of 1, 2, and/or 6) encoding a non-silencing control or a doxycycline (Dox) inducible shRNA against NRF-1. Stable inducible 184hTERT and MCF-10A cell lines are referred to as ctrl-m1 and ctrl-m2 (non-silencing control MOI 1 and MOI 2), and shNRF1-m1, -m2, -m6 (shRNA against NRF-1 MOI 1, 2, 6). In shNRF1-m1, -m2, and m-6 for both cell lines, a gradient knockdown of NRF-1 was generally observed both with Dox induction and increasing MOI at the protein (Figure 3.1 a) and mRNA level (Figure 3.2). Induced 184hTERT shNRF1-m1 showed a downregulation of 29% in NRF-1 mRNA, followed by shNRF1-m6 (45%), and shNRF1-m2 (70%) (Figure 3.2 a), while MCF-10A shNRF1-m1 showed a downregulation of 29% in NRF-1 mRNA, followed by shNRF1-m6 (30%), and shNRF1-m2 (59%) (Figure 3.2 b). The 184hTERT and MCF-10A ctrl-m1 and ctrl–m2 produced no substantial effect on NRF-1 protein (Figure 3.1 b) and mRNA expression (Figure 3.2), with the apparent decrease in NRF-1 protein for MCF-10A ctrl-m2 attributed to transfer issues during the Western blot analysis. However, it was obvious from the qRT-PCR analysis that the uninduced (UT) shNRF1-m1,-m2,-m6 in both cell lines resulted in a decrease in NRF-1 expression varying between 15-30% knockdown in the absence of Dox induction compared to non-manipulated wildtype cells, indicating that the shRNA is ‘leaky’. The morphological development of the mammary gland can be modeled in vitro through the induced differentiation of 3D mammary acini by growth on Matrigel, where a single epithelial cell layer polarizes apico-basally in growth-arrested spheroids with hollow lumens [149,150]. Depletion of BRCA1 during cellular differentiation has been shown to result in impaired acinar 52 A. B. Figure 3.1. Inducible lentiviral mediated knockdown of NRF-1 protein. 184hTERT and MCF10A cells were transduced with lentivirus expressing NRF-1 shRNA (shNRF1) (A) or nonsilencing shRNA control (ctrl) (B) to generate stable lines. A multiplicity of infection (m) of 1, 2, and 6 was used for shNRF1 and m1 and m2 for ctrl lines. Cells were grown in the absence (UT) or in the presence of 1ug/mL dox for 24-72 hours with daily replenishment. Whole cell lysates were prepared and normalized, and Western blot analysis was performed using an antibody against NRF-1 for the indicated cell lines and MOIs; an arrow indicates NRF-1 protein. TBP was used as a loading control to normalize for overall protein concentration. Western blots for shNRF1 are representative of three experiments, and ctrl is representative of one experiment. 53 1.50 Relative Expression A. UT 72 1.25 1.00 0.75 0.50 0.25 6 sh N R F1 -m 2 F1 sh N R F1 sh N R ct B. -m 1 -m 2 rlm 1 rlm ct W T 0.00 1.75 UT 72 Relative Expression 1.50 1.25 1.00 0.75 0.50 0.25 m 6 sh N R F1 - m 2 sh N R F1 R N sh F1 - m 1 m 2 ct rl- m 1 ct rl- W T 0.00 Figure 3.2. Inducible lentiviral mediated knockdown of NRF-1 mRNA. 184hTERT shNRF1m1,-m2,-m6 and ctrl-m1,-m2 (A), and MCF-10A shNRF1-m1,-m2,-m6 and ctrl-m1,-m2 (B) were grown in the absence (UT) or in the presence of 1ug/mL dox for 72 hours with daily replenishment. RNA was prepared and NRF-1 expression was analyzed by qRT-PCR for 184hTERT and MCF10A cell lines. Values were normalized relative to an HPRT internal control and fold changes are expressed relative to a non-manipulated wild type (WT) control (relative expression set to 1.0). qRT-PCR analysis is representative of two experiments and values represent averages of triplicate samples +/- SD. 54 formation, where irregular shaped multilobular structures with filled lumens are observed [63]. To determine the effect of NRF-1 depletion on acinar formation, non-manipulated wild type (WT), induced ctrl-m1, uninduced shNRF1-m1, and induced shNRF1-m1,-m2,-m6 cells were plated on Matrigel, and their differentiation monitored over 15 days for 184hTERT (Figure 3.3) and MCF-10A (Figure 3.4) cell lines. After 3 days of growth, 184hTERT and MCF-10A WT, induced ctrl-m1 and uninduced shNRF1-m1 acini were spherical in shape and the outer cells had begun to polarize, with few irregular structures observed. In contrast, induced shNRF1-m1,-m2,m6 acini appeared as globular clusters having outward projections, which has been suggested to reflect a migratory behavior or potentially to mediate cell communication [63]. After 12 days, WT and induced ctrl-m1 had nearly formed mature acini with a single layer of polarized columnar shaped epithelial cells surrounding a hollow lumen. Uninduced shNRF1-m1 cells also formed a hollow lumen but additionally had an irregularly polarized epithelial layer with cells often protruding from the polarized layer boundary (Figure 3.3, 3.4). The slight morphological difference between the WT/induced ctrl-m1 and uninduced shNRF1-m1 acini is attributed to the ‘leaky’ shRNA expression against NRF-1 that was observed with the qRT-PCR analysis (Figure 3.2). The induced shNRF1-m1,-m2,-m6 acini also appeared as globular clusters with filled lumens and no clear distinction between the outer and inner luminal cells, indicating a lack of cell polarization. This infilling and globular morphology is similar to what is observed in acini with depleted BRCA1 [63], and with the activated oncogene ErbB2 [151]. To quantify the infilling observed in the 184hTERT and MCF-10A shNRF1-m1,-m2,-m6 acini, the nuclei of acini at day 15 were stained using Hoescht nuclear stain (Figure 3.5a) and the proportion of acini with filled lumens was determined (Figure 3.5b). With Dox induction, a large fraction of acini (~75%) exhibited filled lumens with this proportion remaining relatively constant 55 Uninduced 184hTERT WT ctrl-m1 shNRF1-m1 shNRF1-m1 shNRF1-m2 shNRF1-m6 Figure 3.3. NRF-1 knockdown impairs mammary cell differentiation in 184hTERTs. Cells were induced to differentiate and form acini with growth on Matrigel for 15 days. shNRF1-m1,-m2,-m6 were maintained in 1ug/mL dox with daily replenishment and compared with uninduced shNRF1-m1, induced ctrl-m1 and non-manipulated wild type (WT) 184hTERT cells. Bright field images of the cells at Day 3 and 12 with 10x/40x magnifications are shown (scale bars 50 μm and 100 μm). Differentiaton assay pictures are representative of two experiments. 56 Uninduced MCF-10A WT ctrl-m1 shNRF1-m1 shNRF1-m1 shNRF1-m2 shNRF1-m6 Figure 3.4. NRF-1 knockdown impairs mammary cell differentiation in MCF-10As. Cells were induced to differentiate and form acini with growth on Matrigel for 15 days. shNRF1-m1,-m2,-m6 were maintained in 1ug/mL dox with daily replenishment and compared with uninduced shNRF1-m1, induced ctrl-m1 and non-manipulated wild type (WT) MCF-10A cells. Bright field images of the cells at Day 3 and 12 with 10x/40x magnifications are shown (scale bars 50 μm and 100 μm). Differentiaton assay pictures are representative of two experiments. 57 A. B. MCF-10A 184hTERT 100 100 75 WT UT DOX 50 % Infilling % Infilling 75 WT UT DOX 50 25 25 0 0 1 2 1 6 2 6 MOI MOI Figure 3.5. NRF-1 deficient cells exhibit impaired lumen formation. The nuclei of Day 15 differentiated 184hTERT and MCF-10A WT and shNRF1-m1,-m2,-m6, which were either untreated (UT) or maintained in 1ug/mL doxycycline, were visualized with Hoescht nuclear stain. Representative images of stained 184hTERT cells were imaged at 40x magnification using a DAPI filter (scale bar 50 μm) (A). Infilling in both cell lines was quantified by counting hollow lumen formation in 200 acini, and compared with infilling present in non-manipulated wild-type (WT) acini exposed to doxycycline during differentiation (B). Differentiation assay was repeated twice and values represent average results of duplicate samples for each MOI +/- SD. 58 among the MOIs, while without Dox induction there was an increasing percentage of infilling associated with increasing MOI (25-60%). This increased infilling trend in the uninduced shNRF1 acini is again attributed to the increasing amount of ‘leaky’ shRNA present in these cells. Although some luminal infilling was observed in WT acini, the incidence was generally less than 25% for both cells lines (Figure 3.5b). Interestingly, hollow lumen formation is still observed in a small proportion of acini with NRF-1 depletion, although likely a result of cell variability in the expression of the NRF-1 targeted shRNA. Overall, these observations suggest that NRF-1 is essential for the normal aciniar morphogenesis of mammary epithelial cells. 3.4.2 NRF-1 depletion does not result in a long-term depression of GABPβ/BRCA1 expression in monolayer cells Because transient NRF-1 knockdown has been shown to attenuate GABPβ and BRCA1 gene expression [65], the infilling phenotype associated with NRF-1 depletion may be the result of decreased BRCA1 expression, which has already been shown to result in infilled, multilobular acinar structures [63]. To determine whether stable NRF-1 knockdown results in a prolonged decrease in the expression of GABPα, GABPβ and BRCA1, we assessed their expression through Western blot and qRT-PCR analysis in monolayer 184hTERT (Figure 3.6) and MCF-10A (Figure 3.7) cells over 72 hours of induced NRF-1 knockdown using samples analyzed in Figures 3.1 and 3.2. Although there was an initial decrease in GABPα and β expression at both the mRNA and protein level following 24 hours of NRF-1 knockdown in 184hTERT shNRF1-m1,-m2,-m6 cells, the expression generally recovered to uninduced levels by 72 hours (Figure 3.6 a,c-d). As NRF-1 is not a known regulator of GABPα, it is likely that the initial decrease in expression is the result of low GABPβ expression which it requires for stabilization of the α/β heterodimer [65,86], and the subsequent increase is a result of a positive feedback loop that serves to maintain steady-state 59 shNRF1-m6 MOI 6 B. - 63 kDa GABPα GABPβ - 63 kDa TBP - 48 kDa Relative Expression - 245 kDa BRCA1 UT 24 48 72 2.0 48 72 UT 24 48 72 UT 24 48 72 shNRF1-m2 MOI 2 UT 24 shNRF1-m1 MOI 1 A. 1.5 1.0 0.5 0.0 shNRF1-m1 Relative Expression 1.0 0.0 shNRF1-m2 UT 24 48 72 3.0 0.5 shNRF1-m1 shNRF1-m6 D. UT 24 48 72 1.5 Relative Expression C. shNRF1-m2 2.5 2.0 1.5 1.0 0.5 0.0 shNRF1-m6 shNRF1-m1 shNRF1-m2 shNRF1-m6 Figure 3.6. NRF-1 depletion does not result in a prolonged decrease of GABPα, GABPβ and BRCA1 expression in monolayer 184hTERT cells. Western blot (A) and qRT-PCR analysis of BRCA1 (B), GABPα (C), and GABPβ (D) expression levels in 184hTERT shRNA-m1,-m2,-m6 over 72 hours of 1ug/mL doxycycline induction to decrease NRF-1 expression. Whole cell lysates were collected and normalized for overall protein concentration with TBP loading control, and RNA was prepared from the indicated treatment conditions with an HPRT internal control. qRT-PCR fold changes are expressed relative to a non-manipulated wild type (WT) control (relative expression set to 1.0) and values represent averages of one experiment with triplicate samples +/-SD. Western Blot figures are representative of two experiments. 60 B. BRCA1 - 245 kDa GABPα - 63 kDa GABPβ - 63 kDa P - 48 kDa UT 24 48 72 C. Relative Expression 1.25 1.00 0.75 0.50 0.25 1.50 1.25 1.00 0.75 0.50 0.25 0.00 shNRF1-m1 shNRF1-m2 shNRF1-m6 UT 24 48 72 1.50 D. Relative Expression TBP UT 24 48 72 1.75 Relative Expression 72 48 shNRF1-m6 MOI 6 UT 24 72 U T 24 shNRF1-m2 MOI 2 72 48 U T 24 shNRF1-m1 MOI 1 48 A. 1.25 1.00 0.75 0.50 0.25 0.00 0.00 shNRF1-m1 shNRF1-m2 shNRF1-m6 shNRF1-m1 shNRF1-m2 shNRF1-m6 Figure 3.7. NRF-1 depletion does not result in a prolonged decrease of GABPα, GABPβ and BRCA1 expression in monolayer MCF-10A cells. Western blot (A) and qRT-PCR analysis of BRCA1 (B), GABPα (C), and GABPβ (D) expression levels in MCF-10A shRNA-m1,-m2,-m6 over 72 hours of 1ug/mL doxycycline induction to decrease NRF-1 expression. Whole cell lysates were collected and normalized for overall protein concentration with TBP loading control; non-phosphorylated GABPβ is indicated with an arrow and phosphorylated GABPβ is indicated by (P). RNA was prepared from the indicated treatment conditions with an HPRT internal control. qRT-PCR fold changes are expressed relative to a non-manipulated wild type (WT) control (relative expression set to 1.0) and values represent averages of one experiment with triplicate samples +/-SD. Western Blot figures are representative of two experiments. 61 GABPα expression [94]. Expression of BRCA1 followed a trend similar to the expression of GABPα and β (Figure 3.6 a,b), consistent with their critical role in BRCA1 promoter regulation. Induced MCF10A shNRF1-m1,-2,-6 generally behaved similar to 184hTERT cells, although with a smaller relative change in expression (Figure 3.7 a-d). A comparison between endogenous NRF-1, GABPα/β and BRCA1 RNA levels in wild-type 184hTERT and MCF-10A cells revealed that the relative expression was generally consistent between the cell lines, with the exception of GABPβ mRNA in MCF-10A cells which was nearly two fold less than in 184hTERTs (Figure 3.8). This low GABPβ expression in MCF-10As could be contributing to the muted changes in relative expression as compared with 184hTERT cells. Although the resultant increase in expression of these regulatory network members in both cell lines plated in monolayer is not the result of NRF-1 expression, which remained low at 72 hours (Figure 3.1 and 3.2), we cannot extend these conclusions to explain the infilling defect observed following NRF-1 depletion in 3D acini. This is because while gene expression generally remains constant in monolayer cells, it varies during the differentiation of 3D acini; a trend we have already observed with NRF-1, GABP and BRCA1 (unpublished). To investigate the molecular basis for the increased GABPβ expression despite persistent NRF-1 knockdown in both cell lines, the activity of the GABPβ proximal promoter from -1023 to +194 was examined using a series of 5’ promoter deletion constructs prepared using luciferase reporter plasmids [65]. As NRF-1 has been shown to regulate the GABPβ promoter activity through a site between -268/-251 [65], depletion of NRF-1 would be expected to result in decreased activity of the entire promoter. Indeed, the promoter activity of MCF-10A shNRF1-m1 was decreased by 3-6 fold in comparison to WT cells (data not shown). Additionally, as expected there was approximately a two-fold decrease in promoter activity between -268/-251 for 62 1.50 184hTERT MCF-10A Relative Expression 1.25 1.00 0.75 0.50 0.25 0.00 NRF-1 NRF-1 GABPa GABPα GABPb GABPβ BRCA1 BRCA1 Figure 3.8. Endogenous mRNA expression of GABPβ is reduced in MCF-10A cells. Endogenous mRNA levels of NRF-1, GABPα, GABPβ, and BRCA1 were compared between wild-type 184hTERT and MCF-10A cells using qRT-PCR. Values were normalized relative to an HPRT internal control and expression for each gene is expressed relative to 184hTERT expression. qRT-PCR analysis is representative of one experiment and values represent averages of triplicate samples +/- SD. 63 184hTERT shNRF1-m1 (Figure 3.9 a) and a slightly greater than 2-fold decrease in MCF-10A shNRF1-m1 cells (Figure 3.9 b), consistent with the loss of an NRF-1 regulatory binding site. However, compared to the uninduced condition there was no substantial decrease in promoter activity observed in 184hTERT shNRF1-m1 cells within 24 hours of NRF-1 knockdown, and by 72 hours the activity increased by 2.0-2.5 fold (Figure 3.9 a). This unexpected recovery of expression despite NRF-1 depletion is consistent with the increased GABPβ RNA and protein expression observed in Figure 3.6 and suggests regulatory compensation by another mechanism triggered by decreased promoter activity. This maintenance of steady-state expression has already been observed for GABPα in heterozygous knockout mice (94), suggesting a similar regulatory mechanism is in place for GABPβ. In contrast, these constructs identified a persistent decrease in promoter activity in MCF-10A shNRF1-m1 cells over 72 hours of NRF-1 knockdown (Figure 3.9 b). Although the decreased activity agrees with a regulatory role for NRF-1 at the GABPβ promoter, the persistent decrease in promoter activity is not consistent with the increased protein expression of BRCA1 and GABPβ by 72 hours (Figure 3.7). This discordance can be explained by post-translational modifications of GABPβ. Specifically, the high molecular weight bands that appear following 72 hr NRF-1 knockdown (Figure 3.7 a) are indicative of GABPβ phosphorylation. As phosphorylation of GABPα and β has previously been demonstrated to stimulate transcriptional activation of target genes including acetylcholine receptor genes [152], this could provide an explanation for the resultant increase in BRCA1 expression (Figure 3.7 a,b). The difference in GABPβ promoter activity response in 184hTERT and MCF-10A shNRF1-m1 cells may reflect underlying genetic differences resulting from the immortalization of the original cell lines, and is supported by the difference in endogenous GABPβ expression already observed with WT MCF-10A cells (Figure 3.8). 64 A. 4.5 UT 24 72 Relative Expression 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 4 -2 05 + 19 4 -2 51 + 19 4 -2 68 + 19 4 -4 78 + 19 4 -5 45 + 19 5 94 + 17 4 19 15 + -5 -1 -7 02 3 +1 94 0.0 GABPB Promoter Construct B. Relative Expression 2.0 UT 24 72 1.5 1.0 0.5 4 -2 0 5+ 19 4 -2 5 1+ 19 4 -2 6 8+ 19 4 -4 7 8+ 19 4 -5 4 5+ 19 5 -5 9 4+ 17 4 5+ 19 -7 1 -1 0 23 +1 94 0.0 GABPB Promoter Construct Figure 3.9. GABPβ promoter activity differs between 184hTERT and MCF-10A cells upon NRF-1 depletion. A series of 5’ GABPβ promoter deletion constructs with a Renilla expression vector and Cmv-luciferase internal control were transfected into 184hTERT (A) and MCF10A (B) shNRF1-m1 cells with inducible NRF-1 knockdown. Cells were induced for 24 or 72 hours with 1ug/mL doxycycline or left uninduced (UT), and assayed for dual-luciferase activity 48 hours post-transfection. Values were normalized using the internal control, and GABPβ promoter activity is expressed relative to the full length uninduced shNRF1-m1. Transfections were repeated twice and values represent average results of triplicate samples +/- SD. 65 3.4.3 Loss of NRF-1 is associated with mitochondrial dysfunction in mammary epithelial cells NRF-1 is a well characterized regulator of mitochondrial metabolism, and in conjunction with GABPβ, coordinates the expression of several nuclear encoded genes that are essential components of the mitochondrial respiratory chain [85,90]. To determine whether NRF-1 depletion results in mitochondrial dysfunction, we examined cell proliferation in 184hTERT and MCF-10A shNRF1-m1 cells forced to rely on mitochondrial oxidative phosphorylation for energy production. As in vitro cell lines typically have metabolic adaptations to generate ATP primarily through glycolysis despite abundant oxygen supply, we circumvented this phenomenon by substituting galactose for glucose in a reduced growth media which shifts energy production towards mitochondrial oxidative phosphorylation [153,154]. Cells with functional mitochondria are able to grow normally in glucose- and galactose-containing media with energy produced through glycolysis and oxidative phosphorylation respectively. Mitochondrial dysfunction therefore impairs the proliferative ability of cells when grown in galactose media, but not in the presence of glucose. 184hTERT WT cells were able to grow in both glucose and galactosecontaining media, while for induced shNRF1-m1 cells (Gal-DOX) in galactose, proliferation was reduced by 77% by day 5 in comparison to WT, with no effect in glucose-enriched media (GluDOX) (Figure 3.10 a). Uninduced shNRF1-m1 cells had an intermediate level of NRF-1 knockdown as mentioned previously, and accordingly cell proliferation decreased by 45% in galactose-containing media (Gal-UT) compared to WT cells, with no effect on proliferation observed in glucose-enriched media (Glu-UT). While MCF-10A WT and shNRF1-m1 cells exhibited the same growth trend as 184hTERT WT and shNRF1-m1 cells (Figure 3.10 b), the total number of MCF-10A cells by Day 5 was notably reduced in comparison. As MCF-10A cells require specialized growth media containing a high concentration of glucose, the reduced growth 66 A. 2.0×10 6 Glu-WT Glu-UT Glu-DOX Gal-WT Gal-UT Gal-DOX Number of Cells 1.5×10 6 1.0×10 6 5.0×10 5 0 1 2 3 4 5 Day B. 6.0×10 5 Glu-WT Glu-UT Glu-DOX Gal-WT Gal-UT Gal-DOX Number of Cells 4.5×10 5 3.0×10 5 1.5×10 5 0 0 1 2 3 4 5 Day Figure 3.10. Mitochondrial dysfunction results from NRF-1 knockdown. 184hTERT (A) and MCF-10A (B) shNRF1-m1 cells were grown in glucose- (Glu) or galactose-enriched (Gal) media, with the number of viable cells counted over a period of 5 days. Wild type (WT), uninduced (UT), and Dox-induced (DOX) cells represent a decreasing gradient of NRF-1 expression. Cell proliferation experiment was performed once for each cell line, and values represent average counts of duplicate samples +/- SD. 67 media utilized by this assay is likely limiting their rate of proliferation. Collectively, the reduced cell growth in galactose-enriched media by uninduced and induced shNRF1-m1 cells indicates that a mitochondrial defect results from NRF-1 knockdown. 3.4.4 The expression of genes involved in mitochondrial metabolism and apoptosis are downregulated with NRF-1 knockdown To investigate the source of the mitochondrial dysfunction in NRF-1 deficient cells, we examined the expression of several genes that are known NRF-1 targets and are required for mitochondrial respiratory function. The nuclear encoded mitochondrial transcription factor A (Tfam) is regulated by NRF-1, and is required for mitochondrial DNA (mtDNA) transcription and replication [155]. Tfam knockout embryos have been shown to have undetectable mtDNA and no functional respiratory chain [95]. Analysis of Tfam expression upon 72 hr induction of 184hTERT shNRF1-m1,-m2,-m6 revealed a gradient decrease of Tfam expression, with shNRF1m1 having the lowest expression (36%) and shNRF1-m6 having the highest (72%) compared to WT cells using qRT-PCR (Figure 3.11 a). While NRF-1 expression is lowest in 184hTERT shNRF1-m2/-m6 cells (Figure 3.2 a), the increased Tfam expression observed in shNRF1-m6 could be due to the increased expression of GABPα/β observed at 72 hours of NRF-1 knockdown (Figure 3.6) as the Tfam promoter has also been shown to be regulated by GABP [97]. MCF-10A shNRF1-m1,-m2,-m6 cells followed a similar trend in Tfam expression with shNRF1-m1 having the lowest expression (34%) and shNRF1-m2/-m6 reduced by nearly 2-fold in comparison to WT cells (Figure 3.11 b). Cytochrome c is also a direct target of NRF-1 regulation and an integral member of the electron transport chain but also an important pro-apoptotic factor, with its release from the mitochondria initiating the apoptotic cascade [156-158]. Induced 184hTERT and MCF10A shNRF1-m1,-m2,-m6 cells had a reduction in cytochrome c expression ranging from 68 B. Tfam UT 72 1.00 0.75 0.50 0.25 0.00 UT 72 1.25 1.00 0.75 0.50 0.25 6 m R F1 N D. cytochrome c 1.50 1.50 UT 72 1.25 1.00 Relative Expression Relative Expression 2 m MCF10A 184hTERT C. sh N sh sh N R F1 - m 1 W T m 6 m 2 sh NR F1 - sh NR F1 - m 1 sh NR F1 - W T 0.00 R F1 - Relative Expression 1.25 Relative Expression A. 0.75 0.50 0.25 UT 72 1.25 1.00 0.75 0.50 0.25 6 R F1 -m sh N 2 R F1 -m 1 sh N 184hTERT sh N W T R F1 -m 6 m 2 m 0.00 sh NR F1 - sh NR F1 - 1 m sh NR F1 - W T 0.00 MCF10A Figure 3.11. Decreased Tfam and cytochrome c expression is associated with NRF-1 knockdown. RNA levels of Tfam (A, B) and cytochrome c (C, D) were analyzed using qRT-PCR in 184hTERT and MCF10A wild type (WT) and shNRF1-m1,-m2,-m6 cells over 72 hours of 1ug/mL doxycycline induction to decrease NRF-1 expression. RNA was prepared from uninduced (UT) and 72 hour dox-induced (72) cells approximately 72 hours post-treatment. Values were normalized relative to an HPRT internal control and fold changes are expressed relative to a non-manipulated wild type (WT) control (relative expression set to 1.0). qRT-PCR analysis is representative of two experiments and values represent averages of triplicate samples +/- SD. 69 24% to 39% compared to untreated WT cells (Figure 3.11 c,d). A lack of cytochrome c in vitro has been shown to induce respiratory chain dysfunction through the disruption of respiratory complex assembly and stability [159]. Therefore, the decreased Tfam and cytochrome c expression resulting from NRF-1 knockdown could be contributing to the observed defective mitochondrial activity through respiratory chain dysfunction. 3.5 Discussion NRF-1 is a known transcriptional regulator of mitochondrial biogenesis and function [97], and in addition to the regulation of nuclear encoded mitochondrial proteins, it has recently been demonstrated that NRF-1 exists in a regulatory network with GABPβ and BRCA1 [65]. Given the role of BRCA1 in mammary gland differentiation, we examined the role of NRF-1 during acinar morphogenesis through lentiviral-mediated knockdown. Our study shows that a reduction of functional NRF-1 results in abnormal acinar formation characterized by altered cell polariziation and an increased infilling of the central lumen (Figure 3.3-14). Acinar formation requires both polarization of the outer cells mediated by interactions with the extra-cellular matrix, and caspase-dependent apoptosis of the central cells [151]. Both these processes have recently been shown to be regulated by a cyclic AMP (cAMP)-dependent Protein Kinase A (PKA) mechanism in vitro [160]. Cell polarization was mediated by cAMP-dependent redistribution of the α6 integrin to the cell periphery, while luminal cell hollowing accompanied a PKA-dependent post-transcriptional induction of the proapoptotic protein Bcl-2 Interacting Mediator (BIM), leading to cell death. Although the mechanism by which NRF-1 expression influences cell polarization is unknown, its regulation by cAMP through activation of PGC-1α expression [161] provides a link to the cAMP regulatory cascade. A role for NRF-1 in lumen formation is more apparent through the probable induction of caspase-dependent apoptosis of the 70 central luminal cells. This is supported by the observed decrease in expression of the NRF-1 regulated Tfam and cytochrome c genes (Figure 3.11). In vitro studies of human cells without mtDNA resulting from Tfam depletion demonstrate no functional oxidative phosphorylation due to the absence of electron transport chain proteins that are encoded within the mitochondrial genome [162]. These cells have been shown to be resistant to the pro-apoptotic effects of staurosporine [163], demonstrating that a lack of oxidative phosphorylation resulting from respiratory chain defects can contribute to anti-apoptotic phenotypes. Similarly, in vitro knockout cell models of cytochrome c exhibit reduced activation of caspase-3 and a resistance to mitochondrial induced apoptotic stimuli including UV exposure, serum deprivation and staurosporine [164]. As respiratory chain deficiencies can contribute to impaired mitochondrial induced apoptosis [165], the abnormal lumen formation in NRF-1 depleted acini could be due to apoptotic resistance of the central cells resulting from respiratory chain deficiency, insufficient releasable cytochrome c, or a combination of both. Apoptosis is a notable feature of the developing mouse mammary terminal end bud (TEB), with approximately 11% of cells constantly undergoing programmed cell death, presumably to maintain a hollow luminal space [166]. Interestingly, luminal infilling is an early hallmark of mammary epithelial cancers as it is frequently observed in the invasive carcinoma precursor, ductal carcinoma in situ (DCIS) [151]. Luminal infilling results from decreased apoptosis and resistance to anti-proliferative signals, which is the case for anti-apoptotic and proliferative oncogenes [151]. We have already suggested an anti-apoptotic role for NRF-1 through down-regulation of mitochondrial oxidative phosphorylation and cytochrome c release, and although increased cell proliferation was not observed during monolayer growth of induced 184hTERT and MCF-10A shNRF1-m1 in glucose-containing media (Figure 3.10), it is still 71 possible that these cells demonstrate some resistance to anti-proliferative signals. NRF-1 has been shown to coordinate with E2F transcription factors to regulate a number of genes responsible for cell proliferation, DNA replication and cell cycle progression [167]. NRF-1 knockdown in vivo has been shown to result in a significant reduction of E2F-responsive gene expression [167], supporting a role for NRF-1 in cell proliferation. Therefore, depletion of NRF-1 could result in luminal infilling through a reduction of the apoptotic cascade while also initiating the aberrant regulation of genes involved in cell proliferation. A recent characterization of oxidative phosphorylation function in human mammary epithelial cell lines revealed extensive mitochondrial dysfunction in tumorigenic, but not in normal breast cells lines [168]. Similar to our results, normal MCF-10A cells were viable in both glucose- and galactose-containing media, while tumorigenic cells including the invasive human breast adenocarcinoma cell line MDA-MB-231 had cell growth reduced by approximately 50% in galactose-containing media [168]. Interestingly, when human cells devoid of endogenous mitochondria were supplemented with mitochondria from normal and tumorigenic cells, only cells containing normal mitochondria were able to proliferate under conditions favoring oxidative phosphorylation. As these cybrid cells contain the same nuclear DNA, the inability to grow under galactose-containing conditions is attributed to mitochondrial defects present in the mitochondria of tumorigenic cells. The depletion of NRF-1 in our 184hTERT and MCF-10A cell lines resulted in growth rates similar to tumorigenic breast cell lines in galactose-containing media, supporting the conclusion that NRF-1 is essential for normal mitochondrial function. A unique feature of tumor cells is their predominant use of glycolysis to metabolize glucose, which is in contrast to the mitochondrial oxidative phosphorylation performed by normal cells; a phenomenon termed the Warburg effect [109,147]. Although this shift in metabolism has 72 been suggested to result from mitochondrial defects which perturb metabolism by oxidative phosphorylation [109], it is also beneficial to cells by facilitating the uptake and incorporation of nutrients into the biomass needed for rapid cell proliferation [109]. Several studies have reported important differences between normal and tumorigenic mitochondria including aberrations in the mitochondrial ultrastructure [169], expression of respiratory chain components [170], oxidative phosphorylation capacity [171], and mtDNA levels [172]. Given the role of NRF-1 in mitochondrial metabolism through its regulation of genes involved in mtDNA transcription and replication, mitochondrial translation, and expression of respiratory chain subunits [90], aberrant regulation and expression of NRF-1 could be contributing to the mitochondrial alterations and the Warburg effect observed in tumor cells. Interestingly, the pharmacological drug dichloroacetate (DCA) has been used to exploit the Warburg effect characteristic of tumor cells, as its use reverts the metabolic shift back towards oxidative phosphorylation promoting glucose metabolism through the mitochondria, thereby increasing apoptosis and diminishing tumor growth and proliferation [173]. Although our results suggest a defect in cell polarization and apoptosis is the underlying cause for the impaired acinar formation following NRF-1 depletion, the possibility of a defect in differentiation remains plausible. Although in monolayer cell culture, NRF-1 depletion did not have a lasting knockdown effect on BRCA1 expression (Figure 3.6, 16), further experimentation is required to determine its influence during acinar differentiation in 3D culture. Cell differentiation has also been shown to be modulated by mitochondrial metabolism, with the spontaneous differentiation of human embryonic and induced-pluripotent stem cells to fibroblasts accompanying a shift in metabolism from glycolysis to mitochondrial oxidative phosphorylation [174]. During this differentiation process, NRF-1 and nuclear-encoded mitochondrial genes 73 including Tfam are generally up-regulated in undifferentiated cells compared to the fully differentiated fibroblasts [174]. We have observed similar increases in NRF-1 expression during breast cell differentiation (unpublished work). Additionally, when differentiated fibroblasts undergo cellular reprogramming to an undifferentiated state, their metabolic state reverts back from oxidative phosphorylation to glycolysis. Generally, it appears as though the level of oxidative phosphorylation increases as cells become more differentiated. This may be due in part to the production of reactive oxygen species (ROS) from oxidative phosphorylation. The hematopoietic system has been shown to be regulated by ROS homeostasis, with stem cell differentiation stimulated by increasing ROS levels [175]. Similarly, the differentiation of adipocytes which accompanies increased mitochondrial metabolism is stimulated by ROS produced by mitochondrial complex III of the respiratory chain [176]. Therefore, the extent to which ROS can be regulated during differentiation is dependent on mitochondrial function. Through its regulation of mitochondrial metabolism, NRF-1 may play a necessary role mediating the regulation of metabolic state and cell differentiation. 3.6 Conclusions Although the degree of involvement of NRF-1 in BRCA1-mediated differentiation requires additional experimentation, our current results indicate that NRF-1 plays a role in the formation of mammary acini in vitro as lentiviral-mediated knockdown of NRF-1 resulted in impaired cell polarization and luminal formation. Furthermore, these cells exhibited notable mitochondrial dysfunction when cultured in galactose. As luminal hollowing is dependent on the maintenance of a polarized epithelial layer and selective mitochondrial-induced apoptosis of the central luminal cells, NRF-1 may be mediating cell polarization and/or apoptosis through the maintenance of functional mitochondria having the capacity to undergo apoptosis given its 74 regulation of genes involved in mitochondrial metabolism and function including Tfam and cytochrome c. 3.7 Acknowledgements We would like to thank Rachael Klinoski for her excellent technical assistance. This work was funded by a grant from the Canadian Breast Cancer Foundation – Ontario Region. 75 CHAPTER 4 : General Discussion 4.1 Metabolic Adaptations in Tumors Among the many characteristics acquired by tumor cells is an altered metabolism characterized by a shift from mitochondrial oxidative phosphorylation towards aerobic glycolysis for the generation of ATP; a phenomenon termed the Warburg effect [107]. This increased dependency on glycolysis for ATP is present in most human cancers, and forms the basis for tumor imaging using 18fluorodeoxyglucose positron-emission tomography [177]. It also provides a growth advantage for tumor cells for a number of reasons (summarized in [178]). First, a reliance on glycolysis allows tumor cells to survive under the hypoxic conditions resulting from inadequate tumor vasculature [179], where a dependence on oxidative phosphorylation would result in tumor lethality. Second, increased acid in the tumor microenvironment resulting from lactic acid production through glycolysis has been suggested to promote tumor invasion [180], and suppress the cytotoxic activity of T cells [181]. Furthermore, the released lactic acid from tumor cells can be recycled into pyruvate by surrounding stromal cells through complementary metabolic processes that exist between stromal cells and the surrounding carcinomas [182]. This relationship allows for continual regeneration of pyruvate to be used by tumor cells during oxidative phosphorylation or lactic acid fermentation, allowing for prolonged tumor growth and survival. Third, intermediates from glycolysis are utilized as substrates in anabolic reactions conferring cell growth and proliferation including the pentose phosphate pathway, and the synthesis of lipids, amino acids, and nucleic acids [183]. 4.2 Metabolism and Differentiation of Embryonic Stem Cells Pluripotent embryonic stem cells (ESC) have the capacity to both self-renew and 76 differentiate to form the germ layers during embryogenesis. Recent studies have determined that mouse ESCs are able to switch between oxidative phosphorylation and glycolysis, while the more differentiated form of ESCs, epiblast stem cells (EpiSC) which are similar to human ESC, are reliant primarily on glycolysis [184]. Although EpiSC/hESCs had more developed mitochondria and higher mtDNA copy numbers than ESCs, consistent with increased PGC-1α expression, the mitochondrial function was decreased in comparison to ESCs. The source of the muted mitochondrial function was attributed to decreased complex IV cytochrome c oxidase (COX) activity, with 20 out of its 22 nuclear-encoded genes downregulated. Decreased expression of regulators of mitochondrial metabolism including the co-regulator PGC-1β and an ERR transcription factor was observed in EpiSC/hESC but not ESC, suggesting a source for the mitochondrial dysfunction. Notably, a series of GABP binding sites exist with the COX IV promoter [90], and NRF-1 has been shown to coordinate the transcriptional regulation of all ten nuclear encoded COX subunits, including COX IV, in neurons [185]. Hypoxia Inducible Factor-1 alpha (HIF-1α) was identified as a regulator of metabolic reprogramming during ESC differentiation, where its overexpression induced a shift in metabolism from oxidative phosphorylation towards glycolysis. This finding is consistent with its role in promoting glycolysis under hypoxic conditions [186] while inhibiting mitochondrial biogenesis through the negative regulation of c-Myc dependent PGC-1β expression [187]. Metabolic regulation of stem cell diferentiation might also be present in the mouse mammary gland as HIF-1α has been previously identified as a critical regulator of differentiation and lipid secretion [188]. Interestingly, HIF-1α and c-Myc have already been shown to play a similar role regulating the glycolytic shift in tumors, suggesting that cancer cells exploit the metabolic reprogramming process of ESCs in order to facilitate their rapid growth. 77 4.3 Metabolic Reprogramming in Tumourigenesis An emerging view of tumourigenesis suggests that alterations in cancer metabolism are contributing factors to the classical hallmarks of cancer including continual growth, evasion of growth suppression, resisting apoptosis, limitless replicative potential, sustained angiogenesis, and initiation of invasion and metastasis [178,189]. In addition to the activation of HIF-1, modulation of p53 and NF-κB activity which regulate genes involved in suppressing glycolysis while increasing oxidative phosphorylation might also contribute to metabolic reprogramming [183] and lead to self-sufficient growth, limitless replication and evasion of growth suppression [189]. In mice, NF-κB is able to regulate oxidative phosphorylation through activation of NRF-1 when coupled with CREB [190], while also able to upregulate HIF-1α expression in response to hypoxia [191]. Mitochondrial dysfunction has also been shown to be sufficient in inhibiting p53 expression and function [192], and dysregulation of oxidative phosphorylation can contribute to apoptotic resistance while byproducts of the metabolic process influence tumor invasion, metastasis and immunosuppression. It is also possible that the metabolic shift and hallmarks of cancer arise independently of one another, with their co-evolution resulting from the selective pressure for rapidly proliferating cells to evade multiple tumor suppressive processes [178]. Regardless, the common involvement of mitochondrial metabolism and a metabolic shift in tumors has several therapeutic implications. Increased understanding of the mechanisms driving the metabolic reprogramming in tumor cells could be used to inhibit the glycolytic switch, thereby impairing cell transformation and tumor development. As metabolism has also been shown to regulate stem cell differentiation, insight into the networks controlling metabolic-mediated differentiation could lead to new insights into 78 cancer stem cell differentiation and generate novel therapies to target this elusive subpopulation of tumor-initiating cells. 79 CHAPTER 5 : Summary and Conclusions NRF-1 forms a complex with several unidentified proteins to regulate the GABPβ promoter. We have attempted to identify these co-activators through the use of an immobilizedtemplate assay with the GABPβ regulatory site. However, the presence of non-specific DNA binding proteins in the isolated fractions prevented the identification of co-activators. Through its interaction with GABPβ, NRF-1 is potentially involved in BRCA1-mediated cellular differentiation. Using an in vitro 3D model of mammary gland development, knockdown of NRF1 results in impaired mammary differentiation characterized by a lack of cell polarization and luminal infilling. Although monolayer culture of NRF-1 deficient cells does not result in a sustained downregulation of GABPβ/BRCA1 expression, it may play a role during differentiation when the NRF-1 pathway seems to be more significant. Additionally, these cells display some mitochondrial dysfunction and downregulation of known NRF-1 target genes involved in mitochondrial transcription, the respiratory chain and apoptosis. As NRF-1 is a regulator of nuclear-encoded mitochondrial proteins involved in mitochondrial biogenesis and metabolism, its downregulation could possibly result in a defect in oxidative phosphorylation or mitochondrialdependent apoptosis that would be reflected in impaired mammary gland formation. Further work is required to investigate the role for NRF-1 in differentiation, as a metabolic switch between oxidative phosphorylation and glycolysis has been shown to regulate stem cell differentiation. As this same type of switch is frequently observed in cancer, NRF-1 and mitochondrial activity may also be involved in altered tumor cell metabolism. 80 Reference List 1. Canadian Cancer Society's Steering Committee on Cancer Statistics. Canadian Cancer Statistics. Toronto, ON : Canadian Cancer Society, 2012. 2. Millikan RC, Newman B, Tse CK, Moorman PG, Conway K, Dressler LG, et al.. 2008, Epidemiology of basal-like breast cancer, Breast Cancer Res Treat. 109:123-139. 3. Carey LA, Perou CM, Livasy CA, Dressler LG, Cowan D, Conway K, et al. 2006, Race, breast cancer subtypes, and survival in the Carolina Breast Cancer Study, JAMA. 295:2492-502. 4. Perou CM, Sørlie T, Eisen MB, van de Rijn M, Jeffrey SS, Rees CA, et al. 2000, Molecular portraits of human breast tumours. Nature. 406:747-752. 5. Rouzier R, Perou CM, Symmans WF, Ibrahim N, Cristofanilli M, Anderson K, et al. 2005, Breast cancer molecular subtypes respond differently to preoperative chemotherapy. Clinical Cancer Research. 11:5678-5685. 6. Visvader, JE. . 2009, Keeping abreast of the mammary epithelial hierarchy and breast tumourigenesis, Genes and Development. 23:2563-2577. 7. Yu K, Lee CH, Tan PH, Tan P. 2004, Conservation of breast cancer molecular subtypes and transcriptional patterns of tumor progression across distinct ethnic populations. Clin Cancer Res, 10:5508-5517. 8. Muggerud AA, Hallett M, Johnsen H, Kleivi K, Zhou W, Tahmasebpoor S, Amini RM, Botling J, Børresen-Dale AL, Sørlie T, Wärnberg F. 2010, Molecular diversity in ductal carcinoma in situ (DCIS) and early invasive breast cancer. Molec Oncol. 4:357-368. 9. Curtis C, Shah SP, Chin SF, Turashvili G, Rueda OM, Dunning MJ, et al. 2012, The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups. Nature, 486:346-352 10. Lineman GJ, Visvader JE. 2010, Insights into the cell of origin in breast cancer and breast cancer stem cells. Asia Pac J Clin Oncol. 6;89-97. 11. Sims AH, Howell A, Howell SJ, Clarke RB. 2007, Origins of breast cancer subtypes and therapeutic implications. Nature Clin Prac Oncol. 4:516-525. 12. Johnson, MC. Anatomy and Physiology of the Breast. [book auth.] M. Kaufmann I. Jatoi. Management of Breast Diseases. Berlin Heidelbery : Springer, 2010. 13. Radisky E, Radisky D. 2007, Stromal induction of breast cancer: Inflammation and invasion. Rev Endo Met Disorders. 8:279-287. 81 14. Hinck L, Silberstein G. 2005, Key stages in mammary gland development: The mammary end bud as a motile organ. Breast Cancer Res. 7:245-251. 15. Wilde C, Knight C, Flint D. 1999, Control of milk secretion and apoptosis during mammary involution. J of Mammary Gland Biol Neoplasia. 4:129-136. 16. Baxter F, Neoh K, Tevendale M. 2007, The beginning of the end: death signals in early involution. J Mammary Gland Biol Neoplasia. 12:3-13. 17. Stingl J, Eaves C, Zandieh I, Emerman J. 2001, Characterization of bipotent mammary epithelial progenitor cells in normal adult human breast tissue. Breast Cancer Res Treat. 67:93109. 18. Dontu G, Abdallah W, Foley J, Jackson K, Clarke M, Kawamura M, et al. 2003, In vitro propagation and transcriptional profiling of human mammary stem/progenitor cells. Genes Dev, 15:1253-1270. 19. Villadsen R, Fridriksdottir A, Rønnov-Jessen L, Gudjonsson T, Rank F, LaBarge M, et al. 2007, Evidence for a stem cell hierarchy in the adult human breast. J Cell Biol. 177:87-101. 20. Tsai Y, Lu Y, Nichols P, Zlotnikov G, Jones P, Smith H. 1996, Contiguous patches of normal human mammary epithelium derived from a single stem cell: implications for breast carcinogenesis. Cancer Res. 56:402-404. 21. Shackleton M, Vaillant F, Simpson K, Smyth G, Asselin-Labat M, Wu L, et al. 2006, Generation of a functional mammary gland from a single stem cell. Nature. 5:84-88. 22. Lehnert B, Iyer R. 2002, Exposure to low-level chemicals and ionizing radiation: reactive oxygen species and cellular pathways. Hum Exp Toxicol. 21:65-69. 23. Ohshima H, Tatemichi M, Sawa T. 2003, Chemical basis of inflammation-induced carcinogenesis. Arch Biochem Biophys. 417:3–11. 24. Hausen H. 2000, Papillomaviruses Causing Cancer: Evasion From Host-Cell Control in Early Events in Carcinogenesis. J Nat Cancer Inst. 92:690-698. 25. Rossi D, Seita J, Czechowicz A, Bhattacharya D, Bryder D, Weissman I. 2007, Hematopoietic stem cell quiescence attenuates DNA damage response and permits DNA damage accumulation during aging. Cell Cycle. 6:2371-2376. 26. Reya T, Morrison S, Clarke M, Weissman I. 2001, Stem cells, cancer, and cancer stem cells. Nature. 414:105-111. 82 27. Ponti D, Zaffaroni N, Capelli C, Daidone MG. 2006, Breast cancer stem cells: An overview. Eur J Cancer. 42:1219-1224. 28. Tan BT, Park CY, Ailles LE, Weissman IL. 2006, The cancer stem cell hypothesis: a work in progress. Lab Inves. 86:1203-1207. 29. Ricardo S, Vieira AF, Gerhard R, Leitão D, Pinto R, Cameselle-Teijeiro JF, et al. 2011, Breast cancer stem cell markers CD44, CD24 and ALDH1: expression distribution within intrinsic molecular subtype. J Clin Path. 64:937-946. 30. Al-Hajj M, Wicha MS, Benito-Hernandez A, Morrison SJ, Clarke MF. 2003, Prospective identification of tumorigenic breast cancer cells. PNAS. 100:3983-3988. 31. Honeth G, Bendahl P, Ringnér M, Saal LH, Gruvberger-Saal SK, Lövgren K, et al. 2008, The CD44+/CD24- phenotype is enriched in basal-like breast tumors. Breast Cancer Res. 10:R53-R65. 32. Sorlie T, Tibshirani R, Parker J, Hastie T, Marron JS, Nobel A, et al. 2003, Repeated observation of breast tumor subtypes in independent gene expression data sets. PNAS USA. 100: 8418-8423. 33. Melchor L, Benítez J. 2008, An integrative hypothesis about the origin and development of sporadic and familial breast cancer subtypes. Carcinogenesis. 29:1475-1482. 34. Dontu G, Al-Hajj M, Abdallah WM, Clarke MF, Wicha MS. 2003, Stem cells in normal breast development and breast cancer. Cell Prolifl. 36:Suppl 1, 59-72. 35. Molyneux G, Geyer FC, Magnay FA, McCarthy A, Kendrick H, Natrajan R, Mackay A, Grigoriadis A, Tutt A, Ashworth A, Reis-Filho JS, Smalley MJ. 2010, BRCA1 basal-like breast cancers originate from luminal epithelial progenitors and not from basal stem cells. Cell Stem Cell. 3:403-417. 36. Lim E, Vaillant F, Wu D, Forrest NC, Pal B, Hart AH, Asselin-Labat ML, Gyorki DE, Ward T, Partanen A, et al. 2009, Aberrant luminal progenitors as the candidate target population for basal tumor development in BRCA1 mutation carriers. Nature Med. 15:907-913. 37. Proia TA, Keller PJ, Gupta PB, Klebba I, Jones AD, Sedic M, et al. 2011, Genetic Predisposition Directs Breast Cancer Phenotype by Dictating Progenitor Cell Fate. Cancer Stem Cell. 8:149–163. 83 38. Kima J, Villadsena R, Sørlieb T, Fogha L, Grønlunda SZ, Fridriksdottira AJ, et al. 2012, Tumor initiating but differentiated luminal-like breast cancer cells are highly invasive in the absence of basal-like activity. PNAS. 10.1073/pnas.1203203109 39. Kenemans P, Verstraeten RA, Verheijen RHM. 2004, Oncogenic pathways in hereditary and sporadic breast cancer. Maturitas. 49:34–43. 40. Berger AH, Knudson AG, Paolo Pandolfi PP. 2011, A continuum model for tumour suppression. Nature. 476:163–169. 41. Konishi H, Mohseni M, Tamaki A, Garay JP, Croessmann S, Karnan S, et al. 2011, Mutation of a single allele of the cancer susceptibility gene BRCA1 leads to genomic instability in human breast epithelial cells. PNAS. 108:17773-17778. 42. Marchina E, Fontana MG, Speziani M, Salvi A, Ricca G, Di Lorenzo D, et al. 2010, BRCA1 and BRCA2 genetic test in high risk patients and families: counselling and management. Oncol Rep. 24:1661-1667. 43. Taylor J, Lymboura M, Pace PE, A'Hern RP, Desai AJ, Shousha S, et al. 1998, An important role for BRCA1 in breast cancer progression is indicated by its loss in a large proportion of non-familial breast cancers. Int J Cancer. 79:334-342. 44. Honrado E, Benítez J, Palacios J. 2005, The molecular pathology of hereditary breast cancer: genetic testing and therapeutic implications. Mod Pathol. 18:1305-1320. 45. Atlas E, Stramwasser M, Whiskin K, Mueller CR. 2000, GA-binding protein alpha/beta is a critical regulator of the BRCA1 promoter. Oncogene. 19:1933-1940. 46. Mancini DN, Rodenhiser DI, Ainsworth PJ, O'Malley FP, Singh SM, Xing W, et al. 9, 1998, CpG methylation within the 5' regulatory region of the BRCA1 gene is tumor specific and includes a putative CREB binding site. Oncogene. 16:1161-1169. 47. Catteau A, Harris WH, Xu CF, Solomon E. 1999, Methylation of the BRCA1 promoter region in sporadic breast and ovarian cancer: correlation with disease characteristics. Oncogene. 18:1957-1965. 48. Xu X, Weaver Z, Linke SP, Li C, Gotay J, Wang XW, Harris CC, Ried T, Deng CX. 1999, Centrosome amplification and a defective G2-M cell cycle checkpoint induce genetic instability in BRCA1 exon 11 isoform-deficient cells. Mol Cell. 3:389-395. 84 49. Vaughn JP, Davis PL, Jarboe MD, Huper G, Evans AC, Wiseman RW, et al. 1996, BRCA1 expression is induced before DNA synthesis in both normal and tumor-derived breast cells. Cell Growth and Differ. 7:711-715. 50. Yarden RI, Pardo-Reoyo S, Sgagias M, Cowan KH, Brody LC. 2002, BRCA1 regulates the G2/M checkpoint by activating Chk1 kinase upon DNA damage. Nature Genet. 30:285-289. 51. Deng CX, Brodie SG. 2000, Roles of BRCA1 and its interacting proteins. BioEssays. 22:728-737. 52. Deng CX. 2001, Tumourigenesis as a consequence of genetic instability in Brca1 mutant mice. Mutat Res. 477:183-189. 53. Weaver Z, Montagna C, Xu X, Howard T, Gadina M, Brodie SG, et al. 2002, Mammary tumors in mice conditionally mutant for Brca1 exhibit gross genomic instability and centrosome amplification yet display a recurring distribution of genomic imbalances that is similar to human breast cancer. Oncogene. 21:5097-5107. 54. Brodie SG, Xu X, Qiao W, Li WM, Cao L, Deng CX. 2001, Multiple genetic changes are associated with mammary tumorigenesis in Brca1 conditional knockout mice. Oncogene. 20:7514-7523. 55. Mueller CR, Roskelley CD. 2003, Regulation of BRCA1 and its relationship to sporadic breast cancer. Breast Cancer Res. 5:45-53. 56. Marquis ST, Rajan JV, Wynshaw-Boris A, Xu J, Yin GY, Abel KJ, et al. 1995, The developmental pattern of Brca1 expression implies a role in differentiation of the breast and other tissues. Nature Genet. 11:17 - 26. 57. Medina D. 2004, Breast cancer: the protective effect of pregnancy. Clin Cancer Res. 10:380S-384S. 58. Shen SX, Weaver Z, Xu X, Li C, Weinstein M, Chen L, Guan XY, Ried T, Deng CX. 1998, A targeted disruption of the murine Brca1 gene causes gamma-irradiation hypersensitivity and genetic instability. Oncogene. 17:3115-3124. 59. Shakya R, Reid LJ, Reczek CR, Cole F, Egli D, Lin CS, et al. 2011, BRCA1 Tumor Suppression Depends on BRCT Phosphoprotein Binding, But Not Its E3 Ligase Activity. Science. 334:525-528. 85 60. Hohenstein P, Kielman MF, Breukel C, Bennett M, Wiseman R, Krimpenfort P, et al. 2001, A targeted mouse Brca1 mutation removing the last BRCT repeat results in apoptosis and embryonic lethality at the headfold stage. Oncogene. 20:2544-2550. 61. Xu X, Wagner KU, Larson D, Weaver Z, Li C, Ried T, et al. 1999, Conditional mutation of Brca1 in mammary epithelial cells results in blunted ductal morphogenesis and tumour formation. Nature Genet. 22:37-43. 62. Kubista M, Rosner M, Kubista E, Bernaschek G, Hengtschlager M. 2001, Brca1 regulates in vitro differentiation of mammary epithelial cells. Oncogene. 21:4747-4756. 63. Furuta S, Jiang X, Gu B, Cheng E, Chen PL, Lee WH. 2005, Depletion of BRCA1 impairs differentiation but enhances proliferation of mammary epithelial cells. PNAS. 102:9176–9181. 64. Liu S, Ginestier C, Charafe-Jauffret E, Foco H, Kleer CG, Merajver SD, Dontu G, Wicha MS. 2008, BRCA1 regulates human mammary stem/progenitor cell fate. PNAS. 105:1680-1685. 65. Thompson C, MacDonald G, Mueller CR. 2011, Decreased expression of BRCA1 in SKBR-3 cells is the result of aberrant activation of the GABP Beta promoter by an NRF-1containing complex. Mol Cancer. 10:62-79. 66. Ritter HD, Antonova L, Mueller CR. 2012, The unliganded glucocorticoid receptor positively regulates the tumor suppressor gene BRCA1 through GABP beta. Mol Cancer Res. 10: 558. 67. Antonova L, Aronson K, Mueller CR. 2011, Stress and breast cancer: from epidemiology to molecular biology. Breast Cancer Res. 13:208 . 68. Atlas E, Stramwasser M, Mueller CR. 2001, A CREB site in the BRCA1 proximal promoter acts as a constitutive transcriptional element. Oncogene. 20:7110-7114. 69. Graves ML, Zhou L, MacDonald G, Mueller CR, Roskelley CD. 2007, Regulation of the BRCA1 promoter in ovarian surface epithelial cells and ovarian carcinoma cells. FEBS Lett. 581:1825-1833. 70. Rauch T, Zhong X, Pfeifer GP, Xu X. 2005, 53BP1 is a positive regulator of the BRCA1 promoter. Cell Cycle. 4:1078-1083. 71. Corkery D, Thillainadesan G, Coughlan N, Mohan RD, Isovic M, Tini M, Torchia J. 2011, Regulation of the BRCA1 gene by an SRC3/53BP1 complex. BMC Biochem. 12:50. 86 72. MacLachlan TK, Dash BC, Dicker DT, El-Deiry WS. 2000, Repression of BRCA1 through a feedback loop involving p53. J Biol Chem. 275:31869-31875. 73. Oberley MJ, Inman DR, Farnham PJ. 2003, E2F6 negatively regulates BRCA1 in human cancer cells without methylation of histone H3 on lysine. J Biol Chem. 278:42466-42476. 74. Bindra RS, Glazer PM. 2006, Basal repression of BRCA1 by multiple E2Fs and pocket proteins at adjacent E2F sites. Cancer Biol Ther. 5:1400-1407. 75. Wang A, Schneider-Broussard R, Kumar AP, MacLeod MC, Johnson DG. 2000, Regulation of BRCA1 expression by the Rb-E2F pathway. J Biol Chem. 275:4532-4536. 76. Jeffy BD, Hockings JK, Kemp MQ, Morgan SS, Hager JA, Beliakoff J, et al. 2005, An estrogen receptor-alpha/p300 complex activates the BRCA-1 promoter at an AP-1 site that binds Jun/Fos transcription factors: repressive effects of p53 on BRCA-1 transcription. Neoplasia. 7:873-882. 77. Gorski JJ, Kennedy RD, Hosey AM, Harkin DP. 2009, The complex relationship between BRCA1 and ERalpha in hereditary breast cancer. Clin Cancer Res. 15:1514-1518. 78. King MC, Marks JH, Mandell JB, The New York Breast Cancer Study Group. 2003, Breast and ovarian cancer risks due to inherited mutations in BRCA1 and BRCA2. Science. 302:643-646 . 79. Thompson ME, Jensen RA, Obermiller PS, Page DL, Holt JT. 1995, Decreased expression of BRCA1 accelerates growth and is often present during sporadic breast cancer progression. Nature Genet. 9:444 - 450. 80. Russell PA, Pharoah PDP, De Foy K, Ramus SJ, Symmonds I, Scott I, et al. 2000, Frequent loss of BRCA1 mRNA and protein expression in sporadic ovarian cancers. Carcinogenesis. 87:317-321. 81. Chen Y, Xu J, Borowicz S, Collins C, Huo D, Olopade OI. 2011, c-Myc activates BRCA1 gene expression through distal promoter elements in breast cancer cells. BMC Cancer. 11:246. 82. Moskwa P, Buffa FM, Pan Y, Panchakshari R, Gottipati P, Muschel RJ, et al. 2011, miR-182-mediated downregulation of BRCA1 impacts DNA repair and sensitivity to PARP inhibitors. Mol Cell. 41:210-220. 83. Heyn H, Engelmann M, Schreek S, Ahrens P, Lehmann U, Krelpe H, et al. 2011, MicroRNA miR-335 is crucial for the BRCA1 regulatory cascade in breast cancer development. Int J Cancer. 129:2797-2806. 87 84. Chang S, Wang RH, Akagi K, Kim KA, Martin BK, Cavallone L, et al. 2011, Tumor suppressor BRCA1 epigenetically controls oncogenic microRNA-155. Nature Med. 17:12751283. 85. Rosmarin AG, Resendes KK, Yang Z, McMillan JN, Fleming SL. 2004, GA-binding protein transcription factor: a review of GABP as an integrator of intracellular signaling and protein-protein interactions. Blood Cells Mols Dis. 32:143-154. 86. Batchelor AH, Piper DE, de la Brousse FC, McKnight SL, Wolberger C. 1998, The structure of GABPalpha/beta: An ETS domain-ankyrin repeat heterodimer bound to DNA. Science. 279:1037-1040. 87. Mackereth CD, Schärpf M, Gentile LN, MacIntosh SE, Slupsky CM, McIntosh LP. 2004, Diversity in structure and function of the Ets family PNT domains. J Mol Biol. 342:12491264. 88. Gugneja S, Virbasius JV, Scarpulla RC. 1995, Four structurally distinct non-DNA binding subunits of human nuclear respiratory factor 2 share a conserved transcriptional activation domain. Mol Cell Biol. 15:102-111. 89. Sawa C, Goto M, Suzuki F, Watanabe H, Sawada J, Handa H. 1996, Functional domains of transcription factor hGABP beta/E4TF1-53 required for nuclear localization and transcription activation. Nucleic Acids Res. 24:4954-4961. 90. Scarpulla, RC. 2008, Transcriptional paradigms in mammalian mitochondrial biogenesis and function. Physiol Rev. 88:611-638. 91. Yang ZF, Mott S, Rosmarin AG. 2007, The Ets transcription factor GABP is required for cell-cycle progression. Nature Cell Biol. 9:339-346. 92. Yu S, Cui K, Jothi R, Zhao DM, Jing X, Zhao K, Xu HH. 2011, GABP controls a critical transcription regulatory module that is essential for maintenance and differentiation of hematopoietic stem/progenitor cells. Blood. 117:2166-2178. 93. Kinoshita K, Ura H, Akagi T, Usuda M, Koide H, Yokota T. 2007, GABP alpha regulates Oct-3/4 expression in mouse embryonic stem cells. Biochem Biophys Res Comm. 353:686-691. 94. Ristevski S, O'Leary DA, Thornell AP, Owen MJ, Kola I, Hertzog PJ. 2004, The ETS transcription factor GABPalpha is essential for early embryogenesis. Mol Cell Biol. 24:58445849. 88 95. Larsson NG, Wang J, Wilhelmsson H, Oldfors A, Rustin P, Lewandoski M, Barsh GS, Clayton DA. 1998, Mitochondrial transcription factor A is necessary for mtDNA maintenance and embryogenesis in mice. Nature Genet. 18:231-236. 96. Strachan T, Read AP. Organization of the human genome. Human Molecular Genetics. 2. s.l. : Wiley-Liss, 1999, 7. 97. Scarpulla, RC. 2002, Nuclear activators and coactivators in mammalian mitochrondrial biogenesis. Biochim Biophys Acta. 1576:1-14. 98. Scarpulla, RC. 2011, Metabolic control of mitochondrial biogenesis through the PGC-1 family regulatory network. Biochim Biophys Acta. 1813:1269-1278. 99. Puigserver P, Spiegelman BM. 2003, Peroxisome proliferator-activated receptor-gamma coactivator 1 alpha (PGC-1 alpha): transcriptional coactivator and metabolic regulator. Endocr Rev. 24:78-90. 100. Ongwijitwat S, Liang HL, Graboyes EM, Wong-Riley MTT. 2006, Nuclear respiratory factor 2 senses changing cellular energy demands and its silencing down-regulates cytochrome oxidase and other target gene mRNAs. Gene. 374:39-49. 101. Martin ME, Chinenov Y, Yu M, Schmidt TK, Yang XY. 1996, Redox Regulation of GAbinding Protein-α DNA Binding Activity. J Biol Chem. 271:25617-25623. 102. Gugneja S, Virbasius CM, Scarpulla RC. 1996, Nuclear respiratory factors 1 and 2 utilize similar glutamine-containing clusters of hydrophobic residues to activate transcription. Mol Cell Biol. 16:5708–5716. 103. Gómez-Cuadrado A, Martín M, Noël M, Ruiz-Carrillo A. 1995, Initiation binding repressor, a factor that binds to the transcription initiation site of the histone h5 gene, is a glycosylated member of a family of cell growth regulators. Mol Cell Biol. 15:6670-6685 104. Wu Z, Puigserver P, Andersson U, Zhang C, Adelmant G, Mootha V, Troy A, Cinti S, Lowell B, Scarpulla RC, Spiegelman BM. 1999, Mechanisms controlling mitochondrial biogenesis and respiration through the thermogenic coactivator PGC-1. Cell. 98:115-124. 105. Huo L, Scarpulla RC. 2001, Mitochondrial DNA instability and peri-implantation lethality associated with targeted disruption of Nuclear Respiratory Factor 1 in mice. Mol Cell Biol. 21:644–654. 106. Kim JW, Dang CV. 2006, Cancer's molecular sweet tooth and the Warburg effect. Cancer Res. 66: 8927-8930. 89 107. Warburg O. 1956, On respiratory impairment in cancer cells. Science. 124:269-270. 108. Chen Z, Lu W, Garcia-Prieto C, Huang P. 2007, The Warburg effect and its cancer therapeutic implications. J Bioenerg Biomembr. 39:267-274. 109. Vander Heiden MG, Cantley LC, Thompson CB. 2009, Understanding the Warburg effect: the metabolic requirements of cell proliferation. Science. 324:1029-1033. 110. Carew JS, Huang P. 2002, Mitochondrial defects in cancer. Mol Cancer. 1:9. 111. Pelicano H, Xu RH, Du M, Feng L, Sasaki R, Carew JS, Hu Y, Ramdas L, Hu L, Keating MJ, Zhang W, Plunkett W, Huang P. 2006, Mitochondrial respiration defects in cancer cells cause activation of Akt survival pathway through a redox-mediated mechanism. J Cell Biol. 175:913-923. 112. Milne RL, Antoniou AC. 2011, Genetic modifiers of cancer risk for BRCA1 and BRCA2 mutation carriers. Ann Oncol. 22:(suppl 1)i11-i17. 113. van der Kolk DM, de Bock GH, Leegte BK, Schaapveld M, Mourits MJ, de Vires J, et al. 2010, Penetrance of breast cancer, ovarian cancer and contralateral breast cancer in BRCA1 and BRCA2 families: high cancer indcidence at older age. Cancer Res Treat. 12:643-651. 114. Yang X, Lippman ME. 1999, BRCA1 and BRCA2 in breast cancer. Breast Cancer Res Treat. 54:1-10. 115. Arver B, Du Q, Chen J, Luo L, Lindblom A. 2000, Hereditary breast cancer: a review. Sem Cancer Biol. 10:271-288. 116. De Leeneer K, Coene I, Crombez B, Simkens J, Van den Broecke R, Bols A, Stragier B, Vanhoutte I, De Paepe A, Poppe B, Claes K. 2012, Prevalence of BRCA1/2 mutations in sporadic breast/ovarian cancer patients and identification of a novel de novo BRCA1 mutation in a patient diagnosed with late onset breast and ovarian cancer: implications for genetic testing. Breast Cancer Res Treat. 13:87-95. 117. Hu Z, Fan C, Oh DS, MArron JS, He X, Qaqish BF et al. 2007, The molecular portraits of breast tumors are conserved across microarray platforms. BMC Genomics. 6:96. 118. Turner NC, Reis-Filho JS, Russell AM, Springall RJ, Ryder K, Steele D, et al. 2007, BRCA1 dysfunction in sporadic basal-like breast cancer . Oncogene. 26:2126-2132. 119. Xu CF, Chambers JA, Solomon E. 1997, Complex regulation of the BRCA1 gene. J Biol Chem. 272:20994-20997. 90 120. Chinenov Y, Henzl M, Martin ME. 2000, The α and β subunits of the GA-binding protein form a stable heterodimer in solution. J Biol Chem. 275:7749-7756. 121. Xu YZ, Heravi M, Thuraisingam T, Di Marco S, Muanza T, Radzioch D. 2010, Brg-1 mediates the constitutive and fenretinide-induced expression of SPARC in mammary carcinoma cells via its interaction with transcription factor Sp1. Mol Cancer. 9:210-227. 122. Moll JR, Acharya A, Gal J, Mir AA, Vinsona C. 2002, Magnesium is required for specific DNA binding of the CREB B-ZIP domain. Nucleic Acids Res. 30:1240–1246. 123. . Carey MF, Peterson CL, Smale ST. 2012, Experimental Strategies for the Identification of DNA-Binding Proteinss.l. : Cold Spring Harbor Laboratory Press, Cold Spring Harbor Protocols, pp. 18-33. 124. Jensen, JH. 2008, Calculating pH and salt dependence of protein-protein binding. Curr Pharm Biotech. 9:96-102. 125. Torigoe T, Izumi H, Yoshida Y, Ishiguchi H, Okamoto T, Itoh H, Kohno K. 2003, Low pH enhances Sp1 DNA binding activity and interaction with TBP. Nucleic Acids Res. 31:45234530. 126. Evans MJ, Scarpulla RC. 1990, NRF-1: a trans-activator of nuclear-encoded respiratory genes in animal cells. Genes Dev. 4:1023-1034. 127. Medina PP, Sanchez-Cespedes M. 2008, Involvement of the chromatin-remodeling factor BRG1/SMARCA4 in human cancer. Epigenetics. 3: 64-68. 128. Kwon CS, Wagner D. 2007, Unwinding chromatin for development and growth: a few genes at a time. TIG. 23:403-412. 129. Reisman D, Glaros S, Thompson EA. 2009, The SWI/SNF complex and cancer. Oncogene. 28:1653-1668. 130. Patsialou A, Wilsker D, Moran E. 2005, DNA-binding properties of ARID family proteins. Nucleic Acids Res. 33:66-80. 131. Dallas PB, Pacchione S, Wilsker D, Bowrin V, Kobayashi R, Moran E. 2000, The human SWI-SNF complex protein p270 is an ARID family member with non-sequence-specific DNA binding activity. Mol Cell Biol. 20:3137-3146. 132. Guan B, Wang TL, Shih IeM. 2011, ARID1A, a factor that promotes formation of SWI/SNF-mediated chromatin remodeling, is a tumor suppressor in gynecologic cancers. Cancer Res. 71:6718-6727. 91 133. Trotter KW, Fan H, Ivey ML, Kingston RE, Archer TK. 2008, The HSA domain of BRG1 mediates critical interactions required for glucocorticoid receptor-dependent transcriptional activation in vivo. Mol Cell Biol. 28:1413–1426. 134. Shao D, Liu Y, Liu X, Zhu L, Cui Y, Cui A, et al. 2010, PGC-1 beta-regulated mitochondrial biogenesis and function in myotubes is mediated by NRF-1 and ERR alpha. Mitochondrion. 10:516–527. 135. Vercauteren K, Pasko RA, Gleyzer N, Marino VM, Scarpulla RC. 2006, PGC-1-Related Coactivator: Immediate early expression and characterization of a CREB/NRF-1 binding domain associated with cytochrome c promoter occupancy and respiratory growth. Mol Cell Biol. 26:7409–7419. 136. Watkins G, Douglas-Jones A, Mansel RE, Jiang WG. 2004, The localization and reduction of nuclear staining of PPARg and PGC-1 in human breast cancer. Oncol Rep. 12:483– 488. 137. Jiang WG, Douglas-Jones A, Mansel RE. 2003, Expression of peroxisome-proliferator activated receptor-gamma (PPARgamma) and the PPARgamma co-activator, PGC-1, in human breast cancer correlates with clinical outcomes. Int J Cancer. 106:752-757. 138. Feilchenfeldt J, Bru¨ndler MA, Soravia C, To¨tsch M and Meier CA. 2004, Peroxisome proliferator-activated receptors (PPARs) and associated transcription factors in colon cancer: reduced expression of PPARg-coactivator1 (PGC-1). Cancer Lett. 203:25–33. 139. Zhang Y, Ba Y, Liu C, Sun G, Ding L, Gao S and Hao J, et al. 2007, PGC-1a induces apoptosis in human epithelial ovarian cancer cells through a PPARg-dependent pathway. Cell Res. 17:363–373. 140. Cui L, Jeong H, Borovecki F, Parkhurst CN, Tanese N, Krainc D. 2006, Transcriptional repression of PGC-1α by mutant huntingtin leads to mitochondrial dysfunction and neurodegeneration. Cell. 127:59–69. 141. Vianna CR, Huntgeburth M, Coppari R, Choi CS, Lin J, Krauss S, et al. 2006, Hypomorphic mutation of PGC-1β causes mitochondrial dysfunction and liver insulin resistance. Cell Metab. 4:453–464. 142. Kadonaga JT, Tjian R. 1986, Affinity purification of sequence-specific DNA binding proteins. PNAS. 83:5889-5893. 92 143. Yang TTC, Chow CW. 2012, Elucidating protein:DNA complex by oligonucleotide DNA affinity purification. Methods Mol Biol. 809:75-84. 144. Sleeman KE, Kendrick H, Robertson D, Isacke CM, Ashworth A, Smalley MJ. 2007, Dissociation of estrogen receptor expression and in vivo stem cell activity in the mammary gland. J Cell Biol. 176:19-26. 145. Sleeman KE, Kendrick H, Ashworth A, Isacke CM, Smalley MJ. 2006, CD24 staining of mouse mammary gland cells defines luminal epithelial, myoepithelial/basal and non-epithelial cells. Breast Cancer Res. 8:R7. 146. Holstege H, Horlings HM, Velds A, Langerød A, Børresen-Dale AL, van de Vijver MJ, Nederlof PM, Jonkers J. 2010, BRCA1-mutated and basal-like breast cancers have similar aCGH profiles and a high incidence of protein truncating TP53 mutations. BMC Cancer. 10:654. 147. Hitchler MJ, Domann FE. 2, 2009, Metabolic defects provide a spark for the epigenetic switch in cancer. Free Radic Biol Med. 47:115-127. 148. Stampfer MR, Garbe J, Levine G, Lichtsteiner S, Vasserot AP, Yaswen P. 2001, Expression of the telomerase catalytic subuint, hTERT, induces resistance to transforming growth factor beta growth inhibition in p16INK4A(-) human mammary epithelial cells. PNAS. 98:44984503. 149. Debnath J, Muthuswamy SK, Brugge JS. 2003, Morphogenesis and oncogenesis of MCF10A mammary epithelial acini grown in three-dimensional basement membrane cultures. Methods. 30:256-268. 150. Weaver VM, Bissell MJ. 1999, Functional culture models to study mechanisms governing apoptosis in normal and malignant mammary epithelial cells. J Mammary Gland Biol Neoplasia. 4:193-201. 151. Debnath J, Mills KR, Collins NL, Reginato MJ, Muthuswamy SK, Brugge JS. 2002, The role of apoptosis in creating and maintaining luminal space within normal and oncogeneexpressing mammary acini. Cell. 111:29-40. 152. Fromm L, Burden SJ. 2001, Neuregulin-1-stimulated phosphorylation of GABP in skeletal muscle cells. Biochemistry. 40:5306-5312. 153. Gohil VM, Sheth SA, Nilsson R, Wojtovich AP, Lee JH, Perocchi F, Chen W, Clish CB, Ayata C, Brookes PS, Mootha VK. 2010, Nutrient-sensitized screening for drugs that shift energy metabolism from mitochondrial respiration to glycolysis. Nature Biotechnol. 28:249-55. 93 154. Marroquin LD, Hynes J, Dykens JA, Jamieson JD, Will Y. 2007, Circumventing the Crabtree effect: Replacing media glucose with galactose increases susceptibility of HepG2 cells to mitochondrial toxicants. Toxicol Sci. 97:539-547. 155. Piantadosi CA, Suliman HB. 2006, Mitochondrial transcription factor A induction by redox activation of nuclear respiratory factor 1. J Biol Chem. 281:324-333. 156. Kluck RM, Bossy-Wetzel E, Green DR, and Newmeyer DD. 1997, The release of cytochrome c from mitochondria: a primary site for Bcl-2 regulation of apoptosis. Science. 275:1132-1136. 157. Liu X, Kim CN, Yang J, Jemmerson R, and Wang X. 1996, Induction of apoptotic program in cell-free extracts: requirement for dATP and cytochrome c. Cell. 86:147-157. 158. Evans MJ, Scarpulla RC. 1989 , Interaction of nuclear factors with multiple sites in the somatic cytochrome c promoter. Characterization of upstream NRF-1, ATF, and intron Sp1 recognition sequences. J Biol Chem. 264:14361-14368. 159. Vempati UD, Han X, Moraes CT. 2009, Lack of cytochrome c in mouse fibroblasts disrupts assembly/stability of respiratory complexes I and IV. J Biol Chem. 284:4383-4391. 160. Nedvetskya PI, Kwona SH, Debnath J, Mostov KE. 2012, Cyclic AMP regulates formation of mammary epithelial acini in vitro. Mol Biol Cell. 23:2973-2981 . 161. . Herzig S, Long F, Jhala US, Hedrick S, Quinn R, Bauer A, et al. 2001, CREB regulates hepatic gluconeogenesis through the coactivator PGC-1. Nature. 413:179-183. 162. Guo J, Zheng L, Liu W, Wang X, Wang Z, Wang Z, et al. 2011, Frequent truncating mutation of TFAM induces mitochondrial DNA depletion and apoptotic resistance in microsatellite-unstable colorectal cancer. Cancer Res. 71:2978 . 163. Dey R, Moraes CT. 2000, Lack of oxidative phosphorylation and low mitochondrial membrane potential decrease susceptibility to apoptosis and do not modulate the protective effect of Bcl-xL in osteosarcoma cells. J Biol Chem. 275:7087-7094. 164. Li K, Li Y, Shelton JM, Richardson JA, Spencer E, Chen ZJ, Wang X, Williams RS. 2000, Cytochrome c deficiency causes embryonic lethality and attenuates stress-induced apoptosis. Cell. 101:389–399. 165. Kwong JQ, Henning MS, Starkov AA, Manfredi G. 2007, The mitochondrial respiratory chain is a modulator of apoptosis. J Cell Biol. 17:1163–1177. 94 166. Humphreys RC, Krajewska M, Krnacik S, Jæger R, Weiher H, Krajewski S, Reed JC, Rosen JM. 1996, Apoptosis in the terminal endbud of the murine mammary gland: a mechanism of ductal morphogenesis. Development. 122:4013-4022. 167. Cam H, Balciunaite E, Blais A, Spektor A, Scarpulla RC, Young R, Kluger Y, Dynlacht BD. 2004, A common set of gene regulatory networks links metabolism and growth inhibition. Mol Cell. 16:399–411. 168. Ma Y, Bai RK, Trieu R, Wong LJ. 2010, Mitochondrial dysfunction in human breast cancer cells and their transmitochondrial cybrids. Biochim Biophys Acta. 1797:29-37. 169. Springer EL. 1980, Comparative study of the cytoplasmic organelles of epithelial cell lines derived from human carcinomas and nonmalignant tissues. Cancer Res. 40:803-817. 170. Simonnet H, Alazard N, Pfeiffer K, Gallou C, Béroud C, Demont J, Bouvier R, Schägger H, Godinot C. 2002, Low mitochondrial respiratory chain content correlates with tumor aggressiveness in renal cell carcinoma. Carcinogenesis. 23:759-768. 171. Shapovalov Y, Hoffman D, Zuch D, de Mesy Bentley KL, Eliseev RA. 2011, Mitochondrial dysfunction in cancer cells due to aberrant mitochondrial replication. J Biol Chem. 286:22331-22338. 172. Bai RK, Chang J, Yeh KT, Lou MA, Lu JF, Tan DJ, Liu H, Wong LJC. 2011, Mitochondrial DNA content varies with pathological characteristics of breast cancer. J Oncol. 10.1155/2011/496189 173. Michelakis ED, Webster L, Mackey JR. 2008, Dichloroacetate (DCA) as a potential metabolic-targeting therapy for cancer. Br J Cancer. 99:989-994. 174. Prigione A, Adjaye J. 2010, Modulation of mitochondrial biogenesis and biogenergetic metabolism upon in vitro and in vivo differentiation of human ES and iPS cells. Int J Dev Biol. 54:1729-1741. 175. Juntilla MM, Patil VD, Calamito M, Joshi RP, Birnbaum MJ, Koretzky GA. 2010, AKT1 and AKT2 maintain hematopoietic stem cell function by regulating reactive oxygen species. Blood. 115:4030-4038 . 176. Tormos KV, Anso E, Hamanaka RB, Eisenbart J, Joseph J, Kalyanaraman B, Chandel NS. 2011, Mitochondrial complex III ROS regulate adipocyte differentiation. Cell Metab. 14:537-544. 95 177. Gambhir SS, Czernin J, Schwimmer J, Silverman DHS, Coleman RE, Phelps ME. 2001, A tabulated summary of the FDG PET literature. J Nucl Med. 42:suppl 1S-93S . 178. Kroemer G, Pouyssegur J. 2008, Tumor Cell Metabolism: Cancer's Achilles' Heel. Cancer Cell. 13:472-482. 179. Helmlinger G, Yuan F, Dellian M, Jain RK. 1997, Interstitial pH and pO2 gradients in solid tumours in vivo: high resolution measurements reveal a lack of correlation. Nature Med. 3:177-182. 180. Patel AA, Gawlinski ET, Lemieux SK, Gatenby RA. 2001, A cellular automaton model of early tumor growth and invasion: the effects of native tissue vascularity and increased anaerobic tumor metabolism. J Theor Biol. 213:315-331. 181. Fischer K, Hoffmann P, Voelkl S, Meidenbauer N, Ammer J, Edinger M, et al. 2007, Inhibitory effect of tumor cell-derived lactic acid on human T cells. Blood. 109:3812-3819. 182. Koukourakis MI, Giatromanolaki A, Harris AL, Sivridis E. 2006, Comparison of metabolic pathways between cancer cells and stromal cells in colorectal carcinomas: a metabolic survival role for tumor-associated stroma. Cancer Res. 66:632-637. 183. Johnson RF, Perkins ND. 2012, Nuclear factor-kB, p53, and mitochondria: regulation of cellular metabolism and the Warburg effect. TIBS. 37:317-324. 184. Zhou W, Choi M, Margineantu D, Margaretha L, Hesson J, Cavanaug C. 2012, HIF1α induced switch from bivalent to exclusively glycolytic metabolism during ESC-to-EpiSC/hESC transition. EMBO. 31:2103-2116 . 185. Dhar SS, Ongwijitwat S, Wong-Riley MT. 2008, Nuclear respiratory factor 1 regulates all ten nuclear-encoded subunits of cytochrome c oxidase in neurons. J Biol Chem. 283:3120-3129. 186. Seagroves TN, Ryan HE, Lu H, Wouters BG, Knapp M, Thibault P, Laderoute K, Johnson RS. 2001, Transcription factor HIF-1 is a necessary mediator of the pasteur effect in mammalian cells. Mol Cell Biol. 21:3436-3444. 187. Zhang H, Gao P, Fukuda R, Kumar G, Krishnamachary B, Zeller KI, Dang CV, Semenza GL. 2007, HIF-1 inhibits mitochondrial biogenesis and cellular respiration in VHLdeficient renal cell carcinoma by repression of C-MYC activity. Cancer Cell. 11:407-420. 188. Seagroves TN, Hadsell D, McManaman J, Palmer C, Liao D, McNulty W, et al. 2003, HIF1alpha is a critical regulator of secretory differentiation and activation, but not vascular expansion, in the mouse mammary gland. Development. 130:1713-1724. 96 189. Seyfried TN, Shelton LM. 2010, Cancer as a metabolic disease. Nutr Metab. 7:1-22. 190. Suliman HB, Sweeney TE, Withers CM, Piantadosi CA. 2010, Co-regulation of nuclear respiratory factor-1 by NFkappaB and CREB links LPS-induced inflammation to mitochondrial biogenesis. J Cell Science. 23:2565-2575. 191. Kenneth NS, Rocha S. 2008, Regulation of gene expression by hypoxia. J Biochem. 414:19-29. 192. Compton S, Kim C, Griner NB, Potluri P, Scheffler IE, Sen S, et al. 2011, Mitochondrial dysfunction impairs tumor suppressor p53 expression/function. J Biol Chem. 286:20297-20312. 97
© Copyright 2024