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A SYSTEM BIOLOGY APPROACH TO ELUCIDATING THE GnRH FREQUENCY DECODING MECHANISM THAT GOVERNS DIFFERENTIAL EXPRESSION OF THE GONADOTROPIN-SUBUNIT GENES STEFAN LIM B.Sc(Hons.), Edin. U A THESIS SUBMITTED IN ACCORDANCE WITH THE REQUIREMENTS OF THE NATIONAL UNIVERSITY OF SINGAPORE FOR THE DEGREE OF DOCTOR OF PHILOSOPHY Acknowledgments It would be hard to envision myself completing this arduous journey of half-a-decade without the tremendous help and encouragement of the following people: My deceased father, who before he passed on secretly told my mother that I would secure this scholarship to commence graduate studies, who believed I could embark on this treacherous journey and make it. My mother, who upheld and continued the convictions of my father, and encouraged me throughout this period; if nothing else, silently praying for strength and perseverance for me. My wife, who has remained patient and understanding throughout this time, enduring lengthy periods of loneliness when through the force of circumstances, I have had to devote more time to research than to her. Dr. Guna, who made it possible for me to this PhD, by first accepting me into the M.Sc in Bioinformatics programme, and then recommending me to A-Star for the award of the Ph.D scholarship. If the former hadn’t happen, I would never have entered the beautiful world of Biology i Dr. Philippa, whom I will always maintain as the best person who could ever have supervised me, who took every risk imaginable in accepting me into her lab as an ignorant intern at first, and then later, as her student. Moreover, for the last half-a-year of my candidature, when my stipend had dried up, she gave me employment in the lab, so that I would never have to go hungry even for a day. I will never cease to respect and marvel at her trust in my non-abilities, which she constantly sees as opportunities for personal growth and fulfillment, and to be grateful to her for the one memorable visit to Israel, the most beautiful country on earth. She is truly God-sent. Prof. Zvi Naor, who has inspired me a great deal not only through his published work in this field of gonadotropin gene regulation, but also through active discussions with him during his visits to Singapore, as well as during my visit to Israel. He embodies all of what great scientists ought to have - intelligence, drive, fantasy and an aura of humanity, humility and congeniality. Mingshi, who mentored me and taught me so patiently every aspect of experimental Biology, who taught me the beauty of life, and who is the sole reason why I have chosen to pursue a Ph.D in this field and in this lab. Stella, who was my dearest friend and god sister, and had been the constant inspiration in my life, however hard and trying times might have been. She taught me the simple truths of selfless love and friendship, and that it was not shameful nor cowardly to cry when things surrounding me became overwhelmingly difficult to bear. In more ways than one, and as only she would comprehend, I owe my continued existence to her. ii Kathy, who became my friend very late on in my PhD career, and when she was about to leave Singapore for France to pursue her own academic dreams. She epitomizes everything of a great scientist-to-be, and is probably one of the very few people in my life who wouldn’t mind talking science with me on the subway, all the way home. She re-kindled my interest in the French language - good or bad - it is not a worthless skill, at the very least. Andrea and Serena, who have been inseparable in their friendship and inseparable in working their good deeds and charm. Thank you for the little card you gave me before you left our lab, bearing a message that reminded me for the remainder of my time in this lab that clearing trash and dirty bottles every so often was not a thankless task after all. Sue Yuan, who was someone I tried to encourage all through her period of sorrow, but ended up being encouraged by her fortitude and experiences. Thank you for being such a dear friend, and for the mince pies you brought back from England. Members of Philippa’s Lab, some of whom have out-stayed me, while others haven’t. Regardless, each one of them has contributed no small part to my reaching the end, and has made the pain of each experimental failure a little less. Liu Ping, who helped me much with all the experiments involving FCCS and live cell imaging. Keng Hwee, who has at times played the role of devil’s advocate, and at other times, the author’s advocate. Whichever role he assumed, he did it better than anyone else. A*star, who funded this research project and also my studies. iii NGS, who supported me administratively throughout the course of my studies. Celine, who came into my life rather unexpectedly, but most timely. Her extraordinary blend of teenage innocence and youthful exuberance worked wonders for an aching heart, tormented by the mistrust of others and the despair of a rejected thesis. She acted as an angel commissioned by God, who appeared, and then disappeared - but who in the few weeks that we shared life together, became my wonderfully adorable child, my sweet and doting kid sister, my most precious friend, and everything else I could and would ever wish for in life. Her charmingly facetious tendencies and insatiable appetite for food and knowledge, were a joy to behold and a pleasure to oblige. She ran alongside me, encouraged me and infused me with just enough strength to complete this final mile. Without her, I most certainly would have given up short of the finishing-line. It is thus only appropriate to reserve my final and most needful word of thanks to an earthly being for her, with whom I was not acquainted when this thesis was first submitted, but fully and endearingly so, by the time it was eventually re-done. God, who is the One I will have to reserve most gratitude and honor for, without whom nothing would have been possible. It was He, who created our amazing universe, and all the science that undergirds the functionality of it all. The pursuit of scientific study is but only a God-given opportunity to try and understand the beauty and wonder of creation. iv Abstract The synthesis of the gonadotropin-subunits is directed by pulsatile gonadotropin-releasing hormone (GnRH) from the hypothalamus, with the frequency of GnRH pulses governing the differential expression of the common α-subunit (αGSU), luteinizing hormone βsubunit (LHβ) and follicle-stimulating hormone β-subunit (FSHβ). In many vertebrate species, levels of these hormones vary quite dramatically throughout their life cycles owing to low levels of GnRH secretion that occur during the juvenile stage, suggesting a native state of gene repression. Preliminary findings point to the actions of histone deacetylases (HDACs) in repressing the gonadotropins. In this study, a system biology approach is taken to unravel the mechanisms for GnRH-frequency decoding and GnRH-induced de-repression of the gonadotropin-subunit genes. Three mitogen-activated protein kinases (MAPKs), ERK1/2, JNK and p38, are known to be contributing uniquely and combinatorially to the expression of each of these subunit genes. Using mathematical modeling and computer simulations, it was found that dual specificity phosphatase (DUSP) regulation of the activity of these MAPKs through negative feedback, forms the basis for decoding the frequency of pulsatile GnRH. Furthermore, a fourth MAPK, ERK5, whose activation kinetics and role in FSHβ gene expression are shown, was found to enhance the preference of FSHβ for low GnRH pulse frequencies. Evidence is presented for ERK5-activation of FSHβ gene expression through Nur77-dependent and independent mechanisms, through interactions with MEF2D. This involves the Ca2+ -activated calcineurin both in activating Nur77 transcription, as well as possibly dephosphorylating Nur77, which is required for its activity. Having established that distinct sets of HDACs repress the two β-subunits, a role for GnRH-activated Ca2+ /calmodulin-dependent protein kinase I (CaMKI) is eluciv dated in the de-repression of the FSHβ gene, which primarily involves phosphorylating certain class IIa HDACs, critical for their nuclear export. Finally, Gem, a negative regulator of calcium L-type channels, is shown to be involved in regulating αGSU expression through influencing ERK1/2 activation in both a Ca2+ -dependent and independent way. These rely on Gem’s ability both to be re-localized to the cytosol upon CaM binding, and to effect cytoskeletal remodeling upon 14-3-3 binding. These findings reveal a complex interplay of signal transducers, transcription factors, and both chromatin- and cytoskeletal-remodeling proteins at different levels to orchestrate the expression of various gonadotropin-subunit genes under the diverse actions of GnRH. vi Contents Acknowledgments i Abstract v Contents xii List of Tables xiii List of Figures xviii Nomenclature xxi Introduction 1.1 The gonadotropic hormones . . . . . . . . . . . . . . . . . . . . . . . . 1.1.1 The hypothalamic control of pituitary action . . . . . . . . . . . . 1.1.2 The gonadotropins and their role in reproduction . . . . . . . . . 1.1.3 Gonadotropin-subunit gene regulation at a glance . . . . . . . . . 1.1.4 Understanding gonadotropin-subunit gene expression through the 1.2 use of model cell-lines . . . . . . . . . . . . . . . . . . . . . . . Regulation of gonadotropin expression by pulsatile GnRH . . . . . . . . 1.2.1 subunit gene expression . . . . . . . . . . . . . . . . . . . . . . The GnRH receptor-stimulated network as a frequency decoder . Regulation of gonadotropin expression by calcium . . . . . . . . . . . . 10 1.2.2 1.3 The requirement of pulsatile GnRH for optimal gonadotropin- vii 1.4 1.3.1 The calcium-channel regulator Kir/Gem is induced by GnRH . . 12 1.3.2 Gem . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 1.3.3 Both CaM and 14-3-3 localize to lipid rafts in c-raf signaling in the gonadotropes . . . . . . . . . . . . . . . . . . . . . . . . . . 17 Regulation of gonadotropin expression through targeting the chromatin . 17 1.4.1 The fluctuating levels of GnRH at different stages of the vertebrate life cycle reveal a possible natural state of gonadotropinsubunit gene repression . . . . . . . . . . . . . . . . . . . . . . . 1.4.2 Chromatin structure and the repression of the gonadotropin-subunit genes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 1.4.3 Histone deacetylases (HDACs) . . . . . . . . . . . . . . . . . . . 19 1.4.4 HDAC activity is involved in the repression of the gonadotropin β-subunit genes, and is overcome by GnRH . . . . . . . . . . . . 1.4.5 1.5 1.6 17 22 Distinct sets of HDACs repress the gonadotropin β-subunit genes in the immature gonadotropes . . . . . . . . . . . . . . . . . . . 23 1.4.6 GnRH activates CaMKI in immature gonadotropes . . . . . . . . 25 1.4.7 Nur77 and MEF2D de-repress the FSHβ gene . . . . . . . . . . . 26 Frequency decoding re-visited: the search for a frequency decoding mechanism . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Hypothesis and aims . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 1.6.1 Hypothesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 1.6.2 Aims . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 Experimental Materials and Methods 34 2.1 Cell culture, transfection and treatment . . . . . . . . . . . . . . . . . . . 34 2.1.1 Cell culture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 2.1.2 Cryo-storage of cells . . . . . . . . . . . . . . . . . . . . . . . . 34 2.1.3 Recovery of cells . . . . . . . . . . . . . . . . . . . . . . . . . . 35 viii 2.1.4 Transfection of cells . . . . . . . . . . . . . . . . . . . . . . . . 35 2.1.5 Chemical treatment of cells . . . . . . . . . . . . . . . . . . . . 35 Plasmid construction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 2.2.1 SiRNA constructs . . . . . . . . . . . . . . . . . . . . . . . . . . 36 2.2.2 Expression vectors . . . . . . . . . . . . . . . . . . . . . . . . . 38 2.2.3 Isolation, verification and plasmid preparation . . . . . . . . . . . 39 RNA extraction and reverse transcriptase PCR . . . . . . . . . . . . . . . 42 2.3.1 RNA isolation . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 2.3.2 First strand cDNA synthesis . . . . . . . . . . . . . . . . . . . . 42 2.3.3 PCR and gel electrophoresis analysis . . . . . . . . . . . . . . . 42 2.4 Luciferase assay . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 2.5 Statistical analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 44 2.6 Whole cell extraction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45 2.7 Co-immunoprecipitation . . . . . . . . . . . . . . . . . . . . . . . . . . 45 2.8 Western blot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 2.9 Immuno-fluorescence/Confocal microscopy . . . . . . . . . . . . . . . . 47 2.10 Live cell imaging . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 2.11 Fluorescence cross-correlation spectroscopy (FCCS) . . . . . . . . . . . 48 Computational Modeling 50 3.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 50 3.1.1 Published models on frequency decoding of GnRH signals . . . . 50 3.1.2 Proposed scheme of model development . . . . . . . . . . . . . . 52 The basic model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 54 3.2.1 Model development . . . . . . . . . . . . . . . . . . . . . . . . . 55 The intermediate and full models . . . . . . . . . . . . . . . . . . . . . . 58 3.3.1 Model development . . . . . . . . . . . . . . . . . . . . . . . . . 59 Computer simulations and key readouts . . . . . . . . . . . . . . . . . . 65 2.2 2.3 3.2 3.3 3.4 ix [146] Grozinger CM, CA Hassig, and Schreiber SL. Three proteins define a class of human histone deactylases related to yeast Hda1p. Proc. Natl. Acad. Sci. USA, 96:4868–4873, 1999. [147] Miska EA, Karlsson C, Langley E, Nielsen SJ, Pines J, and Kouzarides T. HDAC4 deacetylase associates with and represses the MEF2 transcription factor. EMBO J., 18:5099–5107, 1999. [148] Wang AH, Bertos NR, Vezmar M, Pelletier N, Crosanto M, Heng HH, Th’ng J, Han J, and Yang XJ. HDAC4, a human histone deacetylase related to yeast HDAC1, is a transcriptional corepressor. Mol. Cell. Biol., 19:7816–7827, 1999. [149] Tong JJ, Liu J, Bertos NR, and Yang XJ. Identification of HDAC10, a novel class II human histone deacetylase containing a leucine-rich domain. Nucleic Acids Res., 30:1114–1123, 2002. [150] Guardiola AR and Yao TP. Molecular cloning and characterization of a novel histone deacetylase HDAC10. J. Biol. Chem., 277:3350–3356, 2002. [151] Fischer DD, Cai R, Bhatia U, Asselbergs FA, Song C, Terry R, Trogani N, Widmer R, Atadja P, and Cohen D. Isolation and characterization of a novel class II histone deacetylase, HDAC10. J. Biol. Chem., 277:6656–6666, 2002. [152] Gao L, Cueto MA, Asselbergs F, and Atadja P. Cloning and functional characterization of HDAC11, a novel member of the human histone deacetylase family. J. Biol. Chem., 277:25748–25755, 2002. [153] Kao HY, Lee CH, Komarov A, Han CC, and Evans RM. Isolation and characterization of mammalian HDAC10, a novel histone deacetylase. J. Biol. Chem., 277:187–193, 2002. 194 [154] de Ruijter AJM, van Gennip AH, Caron HN, Kemp S, and van Kuilenburg ABP. Histone deacetylases (HDACs): characterization of the classical HDAC family. Biochem. J., 370:737–749, 2003. [155] Johnstone RW. Histone-deacetylase inhibitors: novel drugs for the treatment of cancer. Nat. Rev. Drug Discovery, 1:287–299, 2002. [156] Fischle W, Dequiedt F, Hendzel MJ, Guenther MG, Lazar MA, Voelter W, and Verdin E. Enzymatic activity associated with class II HDACs is dependent on a multiprotein complex containing HDAC3 and SMRT/N-CoR. Mol. Cell, 9:45–57, 2002. [157] Fischle W, Dequiedt F, Fillion M, Hendzel MJ, Voelter W, and Verdin E. Human HDAC7 histone deacetylase activity is associated with HDAC3 in vivo. J. Biol. Chem., 276:35826–35835, 2001. [158] Yang WM, Tsai SC, Wen YD, Fejer G, and Seto E. Functional domains of histone deacetylase-3. J. Biol. Chem., 277:9447–9454, 2003. [159] Van den Wyngaert I, de Vries W, Kremer A, Neefs J, Verhasselt P, Luyten WH, and Kass SU. Cloning and characterization of human histone deacetylase 8. FEBS Lett., 478:77–83, 2000. [160] Kochbin S, Verdel A, Lemercier C, and Seigneurin-Berny D. Functional significance of histone deacetylase activity. Curr. Opin. Genet. Dev, 11:162–166, 2001. [161] Muslin AJ and Xing H. 14-3-3 proteins: regulation of subcellular localization by molecular interference. Cell. Signal., 12:703–709, 2000. [162] Grozinger CM and Schreiber SL. Regulation of histone deacetylase and transcriptional activity by 14-3-3 dependent cellular localization. Proc. Natl. Acad. Sci. USA, 97:7835–7840, 2000. 195 [163] Wang AH, Kruhlak MJ, Wu J, Bertos NR, Vezmar M, Posner BI, Bazett-Jones DP, and Yang XJ. Regulation of histone deacetylase by binding of 14-3-3 proteins. Mol. Cell. Biol., 20:6904–6912, 2000. [164] Kao HY, Verdel A, Tsai CC, Simon C, Juguilon H, and Khochbin S. Mechanism for nucleocytoplasmic shuttling of histone deacetylase 7. J. Biol. Chem., 276:47496– 47507, 2001. [165] McKinsey TA, Zhang CL, Lu J, and Olson EN. Signal-dependent nuclear export of a histone deacetylase regulates muscle differentiation. Nature, 408:106–111, 2000. [166] Dressel U, Bailey PJ, Wang SC, Downes M, Evans RM, and Muscat GE. A dynamic role for HDAC7 in MEF2-mediated muscle differentiation. J. Biol. Chem., 276:17007–17013, 2001. [167] Zhao X, Ito A, Kane CD, Liao TS, Bolger TA, Lemrow SM, Means AR, and Yao TP. The modular nature of histone deacetylase HDAC4 confers phosphorylationdependent intracellular trafficking. J. Biol. Chem., 276:35042–35048, 2001. [168] Miska EA, Langley E, Wolf D, Karlsson C, Pines J, and Kouzarides T. Differential localization of HDAC4 orchestrates muscle differentiation. Nucleic Acids Res., 29:3439–3447, 2001. [169] McKinsey TA, Zhang CL, and Olson EN. Identification of a signal-responsive nuclear export sequence in class II histone deacetylases. Mol. Cell. Biol., 21:6312– 6321, 2001. [170] Wang AH and Yang XJ. Histone deacetylase possesses intrinsic nuclear import and export signals. Mol. Cell. Biol., 21:5992–6005, 2001. [171] McKinsey TA, Zhang CL, and Olson EN. Activation of the myocyte enhancer factor-2 transcription factor by calcium/calmodulin-dependent protein kinase- 196 stimulated binding of 14-3-3 to histone deacetylase 5. Proc. Natl. Acad. Sci. USA, 97:14400–14405, 2000. [172] Zhang CL, McKinsey TA, and Olson EN. The transcriptional corepressor MITR is a signal-responsive inhibitor of myogenesis. Proc. Natl. Acad. Sci. USA, 98:7354– 7359, 2001. [173] Zhou X, Richon VM, Wang AH, Yang XJ, Rifkind RA, and Marks PA. Histone deacetylase associates with extracellular signal-regulated kinases and 2, and its cellular localization is regulated by oncogenic Ras. Proc. Natl. Acad. Sci. USA, 97:14329–14333, 2000. [174] Woronicz JD, Lina A, Calnan BJ, Szychowski S, Cheng L, and Winoto A. Regulation of the Nur77 orphan steroid receptor in a activation-induced apoptosis. Mol. Cell. Biol., 15:6364–6376, 1995. [175] Youn HD, Grozinger CM, and Liu JO. Calcium regulates transcriptional repression of myocyte enhancer factor by histone deacetylase 4. J. Biol. Chem., 275:22563– 22567, 2000. [176] Bin Abdul Kadir MN. The dynamic interplay of chromatin modifying factors and DNA-bound transcription factors in the regulation of mouse gonadotropin genes via multiple signaling pathways. Thesis for Masters degree, submitted to the Department of Biological Sciences, National University of Singapore, 2004. [177] Koh M. Mechanisms of hormonally-induced transcription of LH subunit gene in its chromatin setting. Thesis for Masters degree, submitted to the Department of Biological Sciences, National University of Singapore, 2004. [178] Ye ZY. The role of histone deacetylases in regulation of follicle stimulating hormone and luteinizing hormone β subunit gene expression. Thesis for Bachelors degree, submitted to the Department of Biological Sciences, National University of Singapore, 2005. 197 [179] Luo M. A functional genomics approach for elucidation of novel mechanisms involved in GnRH regulation of the gonadotropins. Thesis for Doctoral degree, submitted to the Department of Biological Sciences, National University of Singapore, 2007. [180] Oancea E and Meyer T. Protein kinase C as a molecular machine for decoding calcium and diacylglycerol signals. Cell, 95:307–318, 1998. [181] De Koninck P and Schulman H. Sensitivity of CaM kinase II to the frequency of Ca2+ oscillations. Science, 279:227–230, 1998. [182] Reither G, Schaefer M, and Lipp P. PKCalpha: a versatile key for decoding the cellular calcium toolkit. J. Cell Biol., 174:521–533, 2006. [183] Muallem S. Decoding Ca2+ signals: a question of timing. J. Cell Biol., 170:173– 175, 2005. [184] Cullen PJ. Decoding complex Ca2+ signals through the modulation of Ras signaling. Curr. Opin. Cell Biol., 18:157–161, 2006. [185] Ruf F, Fink MY, and Sealfon SC. Structure of the GnRH receptor-stimulated signaling network: insights from genomics. Front. Neuroendocrinol., 24:181–199, 2003. [186] Jeffrey KL, Camps M, Rommel C, and Mackay CR. Targeting dual-specificity phosphatases: manipulating MAP kinase signaling and immune responses. Nat. Rev. Drug Discov., 6:392–403, 2007. [187] Owens DM and Keyse SM. Differential regulation of MAP kinase signalling by dual-specificity protein phosphatases. Oncogene, 26:3203–3213, 2007. [188] Hood L. Systems biology: integrating technology, biology, and computation. Mech. Ageing Dev., 124:9–16, 2003. 198 [189] Mogilner A, Wollman R, and Marshall WF. Quantitative modeling in cell biology: what is it good for? Dev. Cell, 11:279–287, 2006. [190] Yener B, Acar E, Agius P, Bennett K, Vandenberg SL, and Plopper GE. Multiway modeling and analysis in stem cell systems biology. BMC Syst. Biol., (In press), 2008. [191] Han JD. Understanding biological functions through molecular networks. Cell Res., 18:224–237, 2008. [192] Tan JH. Elucidating the molecular mechanisms of activation and repression of Nur77 and MEF2 on FSHβ gene promoter via ERK5 and calcineurin pathway. Thesis for Bachelors degree, submitted to the Department of Biological Sciences, National University of Singapore, 2008. [193] Sambrook J, Fritsch EF, and Maniatis T. Molecular Cloning (A Laboratory Manual), Vol. 1. Cold Spring Harbor Laboratory Press, 1989. [194] Bradford M. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal. Biochem., 72:248–254, 1976. [195] Blum JJ, Reed MC, Janovick JA, and Conn PM. A mathematical model quantifying GnRH-induced LH secretion from gonadotropes. Am. J. Physiol. Endocrinol. Metab., 278:263–272, 2000. [196] Eungdamrong NJ and Iyengar R. Computational approaches for modeling regulatory cellular networks. Trends Cell Biol., 14:661–669, 2004. [197] Sible JC and Tyson JJ. Mathematical modeling as a tool for investigating cell cycle control networks. Methods, 41:238–247, 2007. [198] Cheong R and Levchenko A. Wires in the soup: quantitative models of cell signaling. Trends Cell Biol., 18:112–118, 2008. 199 [199] Schoeberl B, Eichler-Jonsson C, Gilles ED, and Muller G. Computational modeling of the dynamics of the MAP kinase cascade activated by surface and internalized EGF receptors. Nat. Biotechnol., 20:370–375, 2002. [200] Koschorreck M, Conzelmann H, Ebert S, Ederer M, and Gilles ED. Reduced modeling of signal transduction - a modular approach. BMC Bioinformatics, 8:336, 2007. [201] Ivakhno S and Armstrong JD. Non-linear dimensionality reduction of signaling networks. BMC Syst. Biol., 1:27, 2008. [202] Bornholdt S. Systems biology. Less is more in modeling large genetic networks. Science, 310:449–451, 2005. [203] Kashtan N, Itzkovitz S, Milo R, and Alon U. Topological generalizations of network motifs. Phys. Rev. E Stat. Nonlin. Soft Matter Phys., 70:031909, 2004. [204] Buchler NE, Gerland U, and Hwa T. On schemes of transcriptional logic. Proc. Natl. Acad. Sci. USA, 100:5136–5141, 2003. [205] Goutsias J and Lee NH. Computational and experimental approaches for modeling gene regulatory networks. Curr. Pharm. Des., 13:1415–1436, 2007. [206] Bhalla US and Iyengar R. Emergent properties of networks of biological signaling pathways. Science, 283:381–387, 1999. [207] Huang CF and Ferrell JE. Ultrasensitivity in the mitogen-activated protein kinase cascade. Proc. Natl. Acad. Sci. USA, 93:10078–10083, 1996. [208] Ramos-Franco J, Fill M, and Mignery GA. Isoform-specific function of single inositol 1,4,5-triphosphate receptor channels. Biophys. J, 75:834–839, 1998. [209] Stojilkovic SS, Iida T, Merelli F, and Catt KJ. Calcium signaling and secretory responses in endothelin-stimulated anterior pituitary cells. Mol. Pharmacol., 39:762– 770, 1991. 200 [210] Savoy-Moore RT, Schwarz NB, Duncan JA, and Marshall JC. Pituitary gonadotropin-releasing hormone receptors during the rat estrous cycle. Science, 209:942–944, 1980. [211] Kaiser UB, Jakubowiak A, Steinberger A, and Chin WW. Differential effects of gonadotropin-releasing hormone (GnRH) pulse frequency on gonadotropin subunit and GnRH receptor messenger ribonucleic acid levels in vitro. Endocrinology, 138:1224–1231, 1997. [212] Kaiser UB, Jakubowiak A, Steinberger A, and Chin WW. Regulation of rat pituitary gonadotropin-releasing hormone receptor mRNA levels in vivo and in vitro. Endocrinology, 133:931–934, 1993. [213] Katt J, Duncan J, Herbon L, Barkan A, and Marshall J. The frequency of gonadotropin-releasing hormone stimulation determines the number of pituitary gonadotropin-releasing hormone receptors. Endocrinology, 116:2113–2115, 1985. [214] Norwitz ER, Cardona GR, Jeong K-H, and Chin WW. Identification and characterization of the gonadotropin-releasing hormone response elements in the mouse gonadotropin-releasing hormone receptor gene. J. Biol. Chem., 274:867–880, 1999. [215] Ellsworth BS, Burns AT, Escudero KW, Duval DL, Nelson SE, and Clay CM. The gonadotropin releasing hormone (GnRH) receptor activating sequence (GRAS) is a composite regulatory element that interacts with multiple classes of transcription factors including Smads, AP-1 and a forkhead DNA binding protein. Mol. Cell. Endocrinol., 206:93–111, 2003. [216] Wu XY, Li H, Park EJ, and Chen JD. SMRTe inhibits MEF2C transcriptional activation by targeting HDAC4 and to nuclear domains. J. Biol. Chem., 276:24177– 24185, 2001. 201 [217] Corcoran EE and Means AR. Defining Ca2+ /calmodulin-dependent protein kinase cascades in transcriptional regulation. J. Biol. Chem., 276:2975–2978, 2001. [218] Schulman H. Activity-dependent regulation of calcium/calmodulin-dependent protein kinase II localization. J. Neurosci., 24:8399–8403, 2004. [219] Gregoire ´ S and Yang XJ. Association with class IIa histone deacetylases upregulates the sumoylation of MEF2 transcription factors. Mol. Cell. Biol., 25:2273– 2287, 2005. [220] Yang C, Ornatsky OI, McDermott CJ, Cruz FT, and Prody CA. Interaction of myocyte enhancer factor (MEF2) with a mitogen-activated protein kinase, ERK5/BMK1. Nucleic Acids Res., 26:4771–4777, 1998. [221] Kato Y, Kravchenko VV, Tapping RI, Han J, Ulevitch RJ, and Lee JD. BMK1/ERK5 regulates serum-induced early gene expression through transcription factor MEF2C. EMBO J., 16:7054–7066, 1997. [222] Zhou G, Bao A, Guan K, and Dixon JE. Specifical interactions between newly identified human kinases, MEK5 and ERK5. FASEB J., 9:A1306, 1995. [223] Lu J, McKinsey TA, Nicol RL, and Olson EN. Signal-dependent activation of the MEF2 transcription factor by dissociation from histone deacetylases. Proc. Natl. Acad. Sci. USA, 97:4070–4075, 2000. [224] Youn HD, Chatila TA, and Liu JO. Integration of calcineurin and MEF2 signals by the coactivator p300 during T-cell apoptosis. EMBO J., 19:4323–4331, 2000. [225] Blaeser, Ho N, Prywes R, and Chatila TA. Ca2+ -dependent gene expression mediated by MEF2 transcription factors. J. Biol. Chem., 275:197–209, 2000. [226] Wang RM, Zhang QG, and Zhang GY. Activation of ERK5 is mediated by Nmethyl-D-aspartate receptor and L-type voltage-gated calcium channel via Src in- 202 volving oxidative stress after cerebral ischemia in rat hippocampus. Neurosci. Lett., 357:13–16, 2004. [227] Wang RM, Yang F, and Zhang YX. Preconditioning-induced activation of ERK5 is dependent on moderate Ca2+ influx via NMDA receptors and contributes to ischemic tolerance in the hippocampal CA1 region of rats. Life Sci., 79:1839–1846, 2006. [228] Lim S, Luo M, Koh M, Yang M, Bin Abdul Kadir MN, Tan JH, Ye Z, Wang W, and Melamed P. Distinct mechanisms involving diverse histone deacetylases repress expression of the two gonadotropin β-subunit genes in immature gonadotropes, and their actions are overcome by gonadotropin-releasing hormone. Mol. Cell. Biol., 27:4105–4120, 2007. [229] Fowkes RC, King P, and Burrin JM. Regulation of human glycoprotein hormone α-subunit gene transcription in LβT2 gonadotropes by protein kinase C and extracellular signal-regulated kinase 1/2. Biol. Reprod., 67:725–734, 2002. [230] Mueller G, Jung C, Wied S, Welte S, Jordan H, and Frick W. Redistribution of glycolipid raft domain components induces insulin-mimetic signaling in rat adipocytes. Mol. Cell. Biol., 21:4553–4567, 2001. [231] Navratil AM, Bliss SP, Berghorn KA, Haughian JM, Farmerie TA, Graham JK, Clay CM, and Roberson MS. Constitutive localization of the gonadotropin- releasing hormone (GnRH) receptor to low density membrane microdomains is necessary for GnRH signaling to ERK. J. Biol. Chem., 278:31593–31602, 2003. [232] Nohe A and Petersen NO. Image correlation spectroscopy. Sci. STKE, 417:17, 2007. [233] Slaughter BD, Schwartz JW, and Li R. Mapping dynamic protein interactions in MAP kinase signaling using live-cell fluorescence fluctuation spectroscopy and imaging. Proc. Natl. Acad. Sci. USA, 104:20320–20325, 2007. 203 [234] Kolin DL and Wiseman PW. Advances in image correlation spectroscopy: measuring number densities, aggregation states, and dynamics of fluorescently labeled macromolecules in cells. Cell. Biochem. Biophys., 49:141–164, 2007. [235] Hwang LC and Wohland T. Recent advances in fluorescence cross-correlation spectroscopy. Cell. Biochem. Biophys., 49:1–13, 2007. [236] Haustein E and Schwille P. Fluorescence correlation spectroscopy: novel variations of an established technique. Annu. Rev. Biophys. Biomol. Struct., 36:151–169, 2007. [237] Davidson L, Pawson AJ, Millar RP, and Maudsley S. Cytoskeletal reorganization dependence of signaling by the gonadotropin-releasing hormone receptor. J. Biol. Chem., 279:1980–1993, 2004. [238] Millar R, Lowe S, D Conklin, Pawson A, Maudsley S, Troskie B, T Ott, M Millar, Lincoln G, R Sellar, B Faurholm, G Scobie, R Kuestner, E Terasawa, and A Katz. A novel mammalian receptor for the evolutionarily conserved type II GnRH. Proc. Natl. Acad. Sci. USA, 98:9636–9641, 2001. [239] Millar RP. GnRH II and type II GnRH receptors. Trends Endocrinol. Metab., 14:35–43, 2002. [240] Caunt CJ, Hislop JN, Kelly E, Matharu AL, Green LD, Sedgley KR, Finch AR, and McArdle CA. Regulation of gonadotropin-releasing hormone receptors by protein kinase C: inside out signalling and evidence for multiple active conformations. Endocrinology, 145:3590–3593, 2004. [241] Ramsey SA, Smith JJ, Orrell D, Marelli M, Petersen TW, de Atauri P, Bolouri H, and Aitchison JD. Dual feedback loops in the GAL regulon suppress cellular heterogeneity in yeast. Nat. Genet., 38:1082–1087, 2006. 204 [242] Chickarmane V, Troein C, Nuber UA, Sauro HM, and Peterson C. Transcriptional dynamics of the embryonic stem cell switch. PLoS Comput. Biol., 2:e123, 2006. [243] Assmus HE, Herwig R, Cho KH, and Wolkenhauer O. Dynamics of biological systems: role of systems biology in medical research. Expert Rev. Mol. Diagn., 6:891–902, 2006. [244] Ciliberto A, Capuani F, and Tyson JJ. Modeling networks of coupled enzymatic reactions using the total quasi-steady state approximation. PLoS Comput. Biol., 3:e45, 2007. [245] Rubinstein A, Gurevich V, Kasulin-Boneh Z, Pnueli L, Kassir Y, and Pinter RY. Faithful modeling of transient expression and its application to elucidating negative feedback regulation. Proc. Natl. Acad. Sci. USA., 104:6241–6246, 2007. [246] Pham H, Ferrari R, Cokus SJ, Kurdistani SK, and Pellegrini M. Modeling the regulatory network of histone acetylation in Saccharomyces cerevisiae. Mol. Syst. Biol., 3:153, 2007. [247] Zou X, Peng T, and Pan Z. Modeling specificity in the yeast MAPK signaling networks. J. Theor. Biol., 250:139–155, 2008. [248] Conzelmann H and Gilles ED. Dynamic pathway modeling of signal transduction networks: a domain-oriented approach. Methods Mol. Biol., 484:559–578, 2008. [249] Prinz AA. Understanding epilepsy through network modeling. Proc. Natl. Acad. Sci. USA., 105:5953–4954, 2008. [250] Edelman EJ, Guinney J, Chi JT, Febbo PG, and Mukherjee S. Modeling cancer progression via pathway dependencies. PLoS Comput. Biol., 4:e28, 2008. [251] Pomerening JR. Uncovering mechanisms of bistability in biological systems. Curr. Opin. Biotechnol., (In press), 2008. 205 [252] Marshall JC and Kelch RP. Gonadotropin-releasing hormone: role of pulsatile secretion in the regulation of reproduction. N. Engl. J. Med., 315:1459–1468, 1986. [253] Reame N, Sauder SE, Kelch RP, and Marshall JC. Pulsatile gonadotropin secretion during the human menstrual cycle: evidence for altered frequency of gonadotropinreleasing hormone secretion. J. Clin. Endocrinol. Metab., 59:328–337, 1984. [254] Martin KA, Santoro N, Hall J, Filicori M, Wierman M, and Crowley Jr WF. Clinical Review 15: management of ovulatory disorders with pulsatile gonadotropinreleasing hormone. J. Clin. Endocrinol. Metab., 71:1081A–1081G, 1990. [255] Seminara SB, Beranova M, Oliveira LMB, Martin KA, and Crowley Jr WF. Successful use of pulsatile gonadotropin-releasing hormone (GnRH) for ovulation induction and pregnancy in a patient with GnRH receptor mutations. J. Clin. Endocrinol. Metab., 85:556–562, 2000. [256] Bentele M, Lavrik I, Ulrich M, Stosser ¨ S, Heermann DW, Kalthoff H, Krammer PH, and Eils R. Mathematical modeling reveals threshold mechanism in CD95induced apoptosis. J. Cell Biol., 166:839–851, 2004. [257] Hufnagel L, Teleman AA, Rouault H, Cohen SM, and Shraiman BI. On the mechanism of wing size determination in fly development. Proc. Natl. Acad. Sci. USA., 104:3835–3840, 2007. [258] Ruf F, Hayot F, Park MJ, Ge Y, Lin G, Roysam B, and Sealfon SC. Noise propagation and scaling in regulation of gonadotrope biosynthesis. Biophys J., 93:4474– 4480, 2007. [259] Tremblay JJ and Drouin J. Egr-1 is a downstream effector of GnRH and synergizes by direct interaction with Ptx-1 and SF-1 to enhance luteinizing hormone β gene transcription. Mol. Cell. Biol., 19:2567–2576, 1999. 206 [260] Wolfe MW and Call GB. The Early growth response protein binds to the luteinizing hormone-β promoter and mediates gonadotropin-releasing hormone-stimulated gene expression. Mol. Endocrinol., 13:752–763, 1999. [261] Dorn C, Ou Q, Svaren J, Crawford PA, and Sadovsky Y. Activation of luteinizing hormone β gene by gonadotropin-releasing hormone requires the synergy of early growth response-1 and steroidogenic factor-1. J. Biol. Chem., 274:13870–13876, 1999. [262] Halvorson LM, Kaiser UB, and Chin WW. Stimulation of luteinizing hormone β gene promoter by the orphan nuclear receptor, steroidogenic factor-1. J. Biol. Chem., 271:6645–6650, 1996. [263] Halvorson LM, Ito M, Jameson JL, and Chin WW. Steroidogenic factor-1 and early growth response protein act through two composite DNA binding sites to regulate luteinizing hormone β-subunit gene expression. J. Biol. Chem., 273:14712–14720, 1996. [264] Halvorson LM, Kaiser UB, and Chin WW. The protein kinase C system acts through early growth response protein to increase LHβ gene expression in synergy with steroidogenic factor-1. Mol. Endocrinol., 13:106–116, 1999. [265] Quirk CC, Lozada KL, Keri RA, and Nilson JH. A single Pitx1 binding site is essential for activity of the LHβ promoter in transgenic mice. Mol. Endocrinol., 15:734–746, 2001. [266] Mulvaney JM and Roberson MS. Divergent signaling pathways requiring discrete calcium signals mediate concurrent activation of two mitogen-activated protein kinases by gonadotropin-releasing hormone. J. Biol. Chem., 275:14182–14189, 2000. [267] Yokoi T, Ohmichi M, Tasaka K, Kimura A, Kanda Y, Hayakawa J, Tahara M, Hisamoto K, Kurachi H, and Murata Y. Activation of the luteinizing hormone β 207 promoter by gonadotropin-releasing hormone requires c-Jun NH2 -terminal protein kinase. J. Biol. Chem., 275:21639–21647, 2000. [268] Loinger A and Biham O. Stochastic simulations of the repressilator circuit. Phys. Rev. E Stat. Nonlin. Soft Matter Phys., 76:051917, 2007. [269] Howe AK and Juliano RL. Regulation of anchorage-dependent signal transduction by protein kinase A and p21-activated kinase. Nat. Cell Biol., 2:593–600, 2000. [270] Howe AK, Aplin AE, and Juliano RL. Anchorage-dependent ERK signaling mechanisms and consequences. Curr. Opin. Genet. Dev., 12:30–35, 2002. [271] Aplin AE, Hogan BP, Tomeu J, and Juliano RL. Cell adhesion differentially regulates the nucleocytoplasmic distribution of active MAP kinases. J. Cell Sci., 115:2781–2790, 2002. [272] Maier JV, Brema S, Tuckermann J, Herzer U, Klein M, Stassen M, Moorthy A, and Cato ACB. Dual specificity phosphatase knockout mice show enhanced susceptibility to anaphylaxis but are sensitive to glucocorticoids. Mol. Endocrinol., 21:2663–2671, 2007. 208 At least we don’t have to this ten thousand times!!! Celine Annabelle Yeh 209 [...]... [85] All these calcium-activated PKC isoforms (PKCs), in turn, have important downstream roles in mediating the actions of GnRH on gonadotropin expression [18, 85] 1.2.2.3 Activation of the mitogen-activated protein kinases (MAPKs) One of the notable consequences of calcium release into the cytoplasm and the activation of PKCs is the firing of the three major MAPK cascades, culminating in the activation... known how the king would fall Hey who’s to say you know I might have changed it all And now I’m glad I didn’t know The way it all would end The way it all would go Our lives are better left to chance I could have missed the pain But I’d have had to miss the dance The dance The dance I would have missed the dance The Dance Tom Arata xxii So no one wanted to supervise you immunology? and that’s why you... downstream pathways would also be expected to be similarly activated by the one instance of receptor binding by GnRH Hence, it is crucial to gain a clear understanding of the molecular events that happen upon receptor activation, before a mechanism for GnRH frequency decoding can be purported 1.2.2.1 The GnRH receptor The mammalian GnRH receptor (GnRHR) is composed of 327-328 amino acids and is a member... the α -subunit gene in immature gonadotropes 169 xvii Nomenclature αGSU Glycoprotein α -subunit AP-1 Activator protein 1 BAPTA/AM 1,2-bis-(o-aminophenoxy)ethane-N,N,N’,N’-tetra-acetic acid acetoxymethyl tetraester BMK Big mitogen-activated protein kinase CaM Calmodulin CaMK Ca2+ /calmodulin-dependent protein kinase cAMP 3’-5’-cyclic adenosine monophosphate CoA Coactivator CsA Cyclosporine A DAG Diacylglycerol... activates a number of signaling pathways, including MEK, JNK, ERK1/2, cAMP/PKA, PKC, Ca2+ - and CaM-dependent pathways A number of transcription factors are activated through the phosphorylation by these kinases (Figure adapted from [16].) JNK FSHβ, however, requires all three MAPK pathways The dependence of gonadotropin- subunit gene expression on the MAPKs has two likely implications on the GnRH frequency. .. stimulation of α -subunit and LHβ promoter activity, as well as mRNA levels of all three subunits [110, 111] This suggests that GnRH can act through CaMK to stimulate the gonadotropin- subunit genes CaM has also been implicated in GnRH signaling to ERK1/2 Inhibition of CaM using W-7, a common calmodulin antagonist that binds to calcium-loaded calmodulin (Ca2+ CaM) in place of its normal physiological target... on gonadotropins?!! Celine, aged A* Teen xxiii Chapter 1 Introduction 1.1 1.1.1 The gonadotropic hormones The hypothalamic control of pituitary action The pituitary gland and the hypothalamus are both located within the cranial region (Figure 1.1) The pituitary gland is sometimes known as the ‘master gland’ of the endocrine Figure 1.1: Layout of the human pituitary The hypothalamus is connected to the. .. regulation at a glance Given the importance of the gonadotropins in the vertebrate life cycle, much research in the past two decades has been centered around the regulation of their biosynthesis [8–11] Mouse and rat models, as well as cell-lines, have been employed extensively to look at various aspects of gonadotropin- subunit gene expression For instance, very early on, it was discovered that the pulsatility... of decoding GnRH pulse frequencies, that would give rise to the differential expression of the subunit genes Frequency decoding may be defined as the ability of the gonadotrope cells within the anterior pituitary to recognize different pulse frequencies of GnRH and through its intracellular mechanisms, allow the frequency of GnRH to dictate the predominance in the expression of any subunit gene A number... of the regulators of calcium activity known in other cell types have yet to be studied in the context of the gonadotropes A large-scale microarray screen for genes up-regulated by GnRH in LβT2 cells revealed that the mRNA for Gem (also referred to as Kir), a calcium signaling pathway-associated protein, was increased with GnRH treatment This result was confirmed by quantitative real-time PCR [24] Additionally, . A SYSTEM BIOLOGY APPROACH TO ELUCIDATING THE GnRH FREQUENCY DECODING MECHANISM THAT GOVERNS DIFFERENTIAL EXPRESSION OF THE GONADOTROPIN- SUBUNIT GENES STEFAN LIM B.Sc(Hons.), Edin. U A THESIS. a system biology approach is taken to unravel the mechanisms for GnRH -frequency decoding and GnRH-induced de-repression of the gonadotropin- subunit genes. Three mitogen-activated protein kinases (MAPKs),. recommending me to A- Star for the award of the Ph.D scholarship. If the former hadn’t happen, I would never have entered the beautiful world of Biology i Dr. Philippa, whom I will always maintain as the