The Role of Sox17 in Normal and Pathological Beta Cell

Total Page:16

File Type:pdf, Size:1020Kb

The Role of Sox17 in Normal and Pathological Beta Cell University of Cincinnati Date: August 23, 2012 The Role of Sox17 in Normal and Pathological Beta Cell A dissertation submitted to the Division of Graduate Studies and Research of the University of Cincinnati in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate Program in Molecular and Developmental Biology of the College of Medicine 2012 by Diva Jonatan Bachelor of Science, Xavier University, 2006 Committee Chair: James Wells, PhD Jeffrey Whitsett, MD, PhD Aaron Zorn, PhD Jonathan Katz, PhD Gail Deutsch, MD ABSTRACT Glucose homeostasis is a complex process involving many regulatory molecules and disruption of this process can result in diabetes. Sox17 is a transcription factor and a key regulator in various developmental and disease contexts. During endoderm development, Sox17 acts, in part, by transcriptionally regulating other important endodermal transcription factors including HNF! and Foxa2, which are also known regulators of postnatal cell function. Our data shows that Sox17 is expressed in all islet cells. Thus, we hypothesize that Sox17 is a key modulator of ! cell homeostasis. In the course of this study, we discovered a novel role for Sox17 in regulating insulin trafficking and secretion in normal and pathological cells. Loss of Sox17 throughout pancreas development in a wildtype background resulted in mice with prediabetes. These mice had higher proinsulin protein content in the ER of the islet cells and dilated secretory organelles in cells. In line with the prediabetes phenotype, these mice went on to develop additional symptoms of diabetes when placed on a high fat diet, including elevated fasting glucose levels and an inability to respond to a glucose challenge. This suggested that Sox17 affects either insulin processing and/or transit through the secretory system. To more directly investigate these possibilities, we used a tetracycline regulated transgenic system to overexpress Sox17 in mature !cells in wildtype background. Transgenic Sox17 expression resulted in rapid trafficking and secretion of improperly processed proinsulin. At the transcriptional level, Sox17 altered expression of genes involved in biological processes that regulate iii hormone transport, secretion, and cellular localization, which led to diabetes after prolonged exposure. This demonstrates that Sox17 affects insulin trafficking throughout the secretory pathway. We therefore wanted to explore the possibility that physiologic levels of Sox17 might be used to positively impact diabetic phenotypes using a genetic model of diabetes (MODY4). We did so by overexpressing Sox17 two-fold in a MODY4 mouse model (Pdx1-tTA hemizygote mice). Increased expression of Sox17 in the !-cells of MODY4 animals was sufficient to transiently normalize basal blood glucose and insulin levels as well as restore islet cell organization architecture; however, Sox17 overexpression was not able to rescue the inability of MODY4 animals to properly respond to glucose challenge. Together, these data demonstrate new and critical role for Sox17 in regulating insulin trafficking and secretion processes in the adult pancreas that are important to ensure proper glucose homeostasis. This study also suggests that modulation of Sox17-regulated pathways can be used therapeutically to improve cell function in the context of diabetes. iv v Table of Contents ABSTRACT iii TABLE OF CONTENTS 1 LIST OF FIGURES AND TABLES 4 CHAPTER 1. Introduction Glucose homeostasis, prediabetes and the different forms of diabetes 7 MODY and the Islet Transcriptional Factor Network Involved 13 Insulin Biosynthesis, Processing, and Secretion 14 Overview: Functional Roles of Sox Family Proteins 18 Overview of Sox Family of Transcription Factors 18 Sox Proteins in Endocrine Pancreas Development and Function 19 The Roles of Sox17 in Different Biological Contexts 22 References 26 Figure Legends 34 Figures 35 CHAPTER 2. The Role of Sox17 in Insulin Processing and Cell Secretory Pathway Abstract 39 Introduction 40 Materials and methods 43 Results 47 1 Discussion 59 Acknowledgements 66 Sources of Funding 66 References 67 Figure Legends 73 Figures 78 Supplementary Figure Legends 86 Supplementary Figures 89 CHAPTER 3. The Partial Rescue of MODY4 Phenotypes by Sox17 Summary 115 Introduction 116 Materials and Methods 121 Results 123 Discussion 128 Acknowledgements 130 Sources of Funding 131 References 131 Figure Legends 134 Figures 137 CHAPTER 4. Summary and Discussion Major Findings 144 2 Sox17 in normal cells 144 Sox17 in pathological cells 146 Experimental limitations and alternative approaches 147 Acknowledgements 149 Sources of funding 150 References 150 Figure Legends 152 Figures 152 3 LIST OF FIGURES AND TABLES CHAPTER 1. Figure 1. MODY genes islet transcriptional network 35 Figure 2. Insulin biosynthesis in pancreatic cells 36 Figure 3. Glucose sensing and glucose-stimulated insulin release pathway 37 CHAPTER 2. Figure 1. Sox17 is not required for cell development 78 Figure 2. Sox17-paLOF results in elevated proinsulin protein in the islets 79 Figure 3. Loss of Sox17 in the pancreas causes accumulation of proinsulin in the ER and structural changes in secretory organelles 80 Figure 4. Sox17-paLOF mice are prediabetic and prone to high fat diet-induced stress of ! cells 81 Figure 5. Sox17 overexpression for 24 hours is sufficient to alter proinsulin:total insulin protein ratio and proinsulin secretion in vivo, followed by accumulation of proinsulin in the plasma, leading to diabetes after prolonged exposure of Sox17 82 Figure 6. 24 hours of Sox17 overexpression alters proinsulin trafficking through the secretory organelle machinery 84 Figure 7. Sox17 regulates pathways involved in insulin transport and secretion 85 Supplementary Figure 1. Sox17 immunostaining in Sox17pa-LOF, wildtype, and Sox17- GOF islets 89 4 Supplementary Figure 2. Percent colocalizations between proinsulin and organelle markers, and their total regional areas 89 Supplementary Figure 3. Plasma proinsulin, total insulin, and their ratio in Sox17-paLOF mice on high fat diet 90 Supplementary Figure 4. Transcriptional insulin processing enzymes level 91 Supplementary Figure 5. Plasma proinsulin and total insulin levels in Sox17-GOF mice 91 Supplementary Figure 6. Percent colocalization and total regional areas of proinsulin and various organelle markers 92 Supplementary Figure 7. Microarray validation of altered genes in Sox17-GOF islets 93 Supplementary Table 1. Primary and Secondary Antibodies 95 Supplementary Table 2. Sox17-GOF islet microarray gene list 97 CHAPTER 3. Figure 1. Sox17 overepression in the context of MODY4 background rescued resting hyperglycemia 135 Figure 2. Sox17 overexpression rescued MODY4 disrupted islet architecture 138 Figure 3. Sox17 altered the distribution of islet sizes and cell-cell adhesion contacts of the MODY4 mice 140 CHAPTER 4. Figure 1. The role of Sox17 in regulating insulin trafficking 5 Chapter 1. Introduction 6 Glucose homeostasis, prediabetes and the different forms of diabetes. “Disease does not occur unexpectedly, it is the result of constant violation of Nature’s laws.”- Hippocrates Glucose is the body’s primary source of energy and maintenance of blood glucose homeostasis is achieved by a complex endocrine regulatory network. Central to this network is the hormone insulin, which is secreted in response to elevated glucose levels and acts on peripheral tissues in several ways. In the liver, insulin promotes conversion of glucose to glycogen for storage. In other tissues like skeletal muscle, insulin activates the insulin signaling receptor, which interfaces with several downstream effector pathways, such as the insulin receptor substrates/phosphatidylinositol 3-kinase pathway (IRS/PI3-K) and the Ras/mitogen-activated protein kinase (MAPK) pathway, to mediate glucose uptake and metabolism (reviewed in1,2). Insulin protein is regulated at several levels: insulin biosynthesis, processing, secretion, cell uptake, and its breakdown in the body. A defect in any of these stages of insulin regulation, or loss of cell mass, can lead to elevated blood glucose levels (hyperglycemia), and over the long term, this can result in diabetes. The World Health Organization Diabetes Fact Sheet 2011 suggests that there are 346 millions of people with diabetes worldwide. According to the 2011 National Diabetes Fact Sheet, released by the American Diabetes Association, there is a total 25.8 million of diabetic children and adults in the United States, which is 8.3% of the population. In addition, 79 million people are considered to be prediabetic, meaning these people are exhibiting one or more 7 symptoms of glucose dysregulation, including impaired fasting blood glucose, elevated ratio of plasma proinsulin:insulin, and impaired glucose tolerance3-8.In terms of the rate of mortality, it is estimated that diabetes causes more deaths per year than breast cancer and AIDS combined. There are several different types of diabetes, such as the polygenic forms of diabetes: type 1 diabetes and type 2 diabetes, and the monogenic forms of diabetes: mature onset diabetes of the young (MODY) and neonatal diabetes. Type 1 diabetes (~5% of diabetes cases, according to the National Diabetes Information Clearinghouse - NIDC) is a result of autoimmune-mediated destruction of pancreatic cells, leading to loss of insulin production. It is usually diagnosed in children and young adults. Type 2 diabetes is the most common form of diabetes (90-95% of diabetes cases) and is associated
Recommended publications
  • Genetic Analysis of Retinopathy in Type 1 Diabetes
    Genetic Analysis of Retinopathy in Type 1 Diabetes by Sayed Mohsen Hosseini A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Institute of Medical Science University of Toronto © Copyright by S. Mohsen Hosseini 2014 Genetic Analysis of Retinopathy in Type 1 Diabetes Sayed Mohsen Hosseini Doctor of Philosophy Institute of Medical Science University of Toronto 2014 Abstract Diabetic retinopathy (DR) is a leading cause of blindness worldwide. Several lines of evidence suggest a genetic contribution to the risk of DR; however, no genetic variant has shown convincing association with DR in genome-wide association studies (GWAS). To identify common polymorphisms associated with DR, meta-GWAS were performed in three type 1 diabetes cohorts of White subjects: Diabetes Complications and Control Trial (DCCT, n=1304), Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR, n=603) and Renin-Angiotensin System Study (RASS, n=239). Severe (SDR) and mild (MDR) retinopathy outcomes were defined based on repeated fundus photographs in each study graded for retinopathy severity on the Early Treatment Diabetic Retinopathy Study (ETDRS) scale. Multivariable models accounted for glycemia (measured by A1C), diabetes duration and other relevant covariates in the association analyses of additive genotypes with SDR and MDR. Fixed-effects meta- analysis was used to combine the results of GWAS performed separately in WESDR, ii RASS and subgroups of DCCT, defined by cohort and treatment group. Top association signals were prioritized for replication, based on previous supporting knowledge from the literature, followed by replication in three independent white T1D studies: Genesis-GeneDiab (n=502), Steno (n=936) and FinnDiane (n=2194).
    [Show full text]
  • Gene Symbol Gene Description ACVR1B Activin a Receptor, Type IB
    Table S1. Kinase clones included in human kinase cDNA library for yeast two-hybrid screening Gene Symbol Gene Description ACVR1B activin A receptor, type IB ADCK2 aarF domain containing kinase 2 ADCK4 aarF domain containing kinase 4 AGK multiple substrate lipid kinase;MULK AK1 adenylate kinase 1 AK3 adenylate kinase 3 like 1 AK3L1 adenylate kinase 3 ALDH18A1 aldehyde dehydrogenase 18 family, member A1;ALDH18A1 ALK anaplastic lymphoma kinase (Ki-1) ALPK1 alpha-kinase 1 ALPK2 alpha-kinase 2 AMHR2 anti-Mullerian hormone receptor, type II ARAF v-raf murine sarcoma 3611 viral oncogene homolog 1 ARSG arylsulfatase G;ARSG AURKB aurora kinase B AURKC aurora kinase C BCKDK branched chain alpha-ketoacid dehydrogenase kinase BMPR1A bone morphogenetic protein receptor, type IA BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) BRAF v-raf murine sarcoma viral oncogene homolog B1 BRD3 bromodomain containing 3 BRD4 bromodomain containing 4 BTK Bruton agammaglobulinemia tyrosine kinase BUB1 BUB1 budding uninhibited by benzimidazoles 1 homolog (yeast) BUB1B BUB1 budding uninhibited by benzimidazoles 1 homolog beta (yeast) C9orf98 chromosome 9 open reading frame 98;C9orf98 CABC1 chaperone, ABC1 activity of bc1 complex like (S. pombe) CALM1 calmodulin 1 (phosphorylase kinase, delta) CALM2 calmodulin 2 (phosphorylase kinase, delta) CALM3 calmodulin 3 (phosphorylase kinase, delta) CAMK1 calcium/calmodulin-dependent protein kinase I CAMK2A calcium/calmodulin-dependent protein kinase (CaM kinase) II alpha CAMK2B calcium/calmodulin-dependent
    [Show full text]
  • Analysis of Gene–Environment Interactions in Postnatal
    – Analysis of gene environment interactions in postnatal INAUGURAL ARTICLE development of the mammalian intestine Seth Rakoff-Nahouma,b,c,1, Yong Kongd, Steven H. Kleinsteine, Sathish Subramanianf, Philip P. Ahernf, Jeffrey I. Gordonf, and Ruslan Medzhitova,b,1 aHoward Hughes Medical Institute, bDepartment of Immunobiology, dDepartment of Molecular Biophysics and Biochemistry, W. M. Keck Foundation Biotechnology Resource Laboratory, and eInterdepartmental Program in Computational Biology and Bioinformatics and Department of Pathology, Yale University School of Medicine, New Haven, CT 06510; fCenter for Genome Sciences and Systems Biology, Washington University School of Medicine in St. Louis, St. Louis, MO 63108; and cDivision of Infectious Diseases, Department of Medicine, Boston Children’s Hospital and Harvard Medical School, Boston, MA 02115 This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2010. Contributed by Ruslan Medzhitov, December 31, 2014 (sent for review December 25, 2014; reviewed by Alexander V. Chervonsky and Alexander Y. Rudensky) Unlike mammalian embryogenesis, which takes place in the relatively immediately after birth, the intestine is exposed to mother’s milk predictable and stable environment of the uterus, postnatal develop- and undergoes initial colonization with microorganisms. Second, ment can be affected by a multitude of highly variable environmental after weaning, the intestinal tract becomes exposed to solid foods factors, including diet, exposure to noxious substances, and micro- and is no longer exposed to mother’s milk components, the host organisms. Microbial colonization of the intestine is thought to play a immune system matures, and the microbiota shifts. particularly important role in postnatal development of the gastroin- Although it is widely recognized that these transitions have testinal, metabolic, and immune systems.
    [Show full text]
  • Responses of Bats to White-Nose Syndrome and Implications for Conservation
    University of New Hampshire University of New Hampshire Scholars' Repository Doctoral Dissertations Student Scholarship Spring 2020 Responses of Bats to White-Nose Syndrome and Implications for Conservation Meghan Stark University of New Hampshire, Durham Follow this and additional works at: https://scholars.unh.edu/dissertation Recommended Citation Stark, Meghan, "Responses of Bats to White-Nose Syndrome and Implications for Conservation" (2020). Doctoral Dissertations. 2518. https://scholars.unh.edu/dissertation/2518 This Dissertation is brought to you for free and open access by the Student Scholarship at University of New Hampshire Scholars' Repository. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of University of New Hampshire Scholars' Repository. For more information, please contact [email protected]. RESPONSES OF BATS TO WHITE-NOSE SYNDROME AND IMPLICATIONS FOR CONSERVATION BY MEGHAN A. STARK B.S., University of Alabama at Birmingham, 2013 DISSERTATION Submitted to the University of New Hampshire in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy In Genetics May 2020 i This dissertation was examined and approved in partial fulfillment of the requirements for the degree of Ph.D. in Genetics by: Dissertation Director, Matthew MacManes, Assoc. Prof. UNH MCBS Jeffrey T. Foster, Associate Professor, NAU PMI W. Kelley Thomas, Professor, UNH MCBS Rebecca Rowe, Associate Professor, UNH NREN Thomas Lee, Associate Professor Emeritus, UNH NREN On April 6, 2020 Approval signatures are on file with the University of New Hampshire Graduate School. ii DEDICATION I dedicate this work to all of the strong women in my life: Myra Michele Ange Heather Michelle Coons Kaitlyn Danielle Cagle Brindlee Michelle Coons Patricia Gail Miller Sarah Jean Lane “Here’s to strong women.
    [Show full text]
  • Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma
    Anatomy and Pathology Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma Sarah L. Lake,1 Sarah E. Coupland,1 Azzam F. G. Taktak,2 and Bertil E. Damato3 PURPOSE. To detect deletions and loss of heterozygosity of disease is fatal in 92% of patients within 2 years of diagnosis. chromosome 3 in a rare subset of fatal, disomy 3 uveal mela- Clinical and histopathologic risk factors for UM metastasis noma (UM), undetectable by fluorescence in situ hybridization include large basal tumor diameter (LBD), ciliary body involve- (FISH). ment, epithelioid cytomorphology, extracellular matrix peri- ϩ ETHODS odic acid-Schiff-positive (PAS ) loops, and high mitotic M . Multiplex ligation-dependent probe amplification 3,4 5 (MLPA) with the P027 UM assay was performed on formalin- count. Prescher et al. showed that a nonrandom genetic fixed, paraffin-embedded (FFPE) whole tumor sections from 19 change, monosomy 3, correlates strongly with metastatic death, and the correlation has since been confirmed by several disomy 3 metastasizing UMs. Whole-genome microarray analy- 3,6–10 ses using a single-nucleotide polymorphism microarray (aSNP) groups. Consequently, fluorescence in situ hybridization were performed on frozen tissue samples from four fatal dis- (FISH) detection of chromosome 3 using a centromeric probe omy 3 metastasizing UMs and three disomy 3 tumors with Ͼ5 became routine practice for UM prognostication; however, 5% years’ metastasis-free survival. to 20% of disomy 3 UM patients unexpectedly develop metas- tases.11 Attempts have therefore been made to identify the RESULTS. Two metastasizing UMs that had been classified as minimal region(s) of deletion on chromosome 3.12–15 Despite disomy 3 by FISH analysis of a small tumor sample were found these studies, little progress has been made in defining the key on MLPA analysis to show monosomy 3.
    [Show full text]
  • SPATA33 Localizes Calcineurin to the Mitochondria and Regulates Sperm Motility in Mice
    SPATA33 localizes calcineurin to the mitochondria and regulates sperm motility in mice Haruhiko Miyataa, Seiya Ouraa,b, Akane Morohoshia,c, Keisuke Shimadaa, Daisuke Mashikoa,1, Yuki Oyamaa,b, Yuki Kanedaa,b, Takafumi Matsumuraa,2, Ferheen Abbasia,3, and Masahito Ikawaa,b,c,d,4 aResearch Institute for Microbial Diseases, Osaka University, Osaka 5650871, Japan; bGraduate School of Pharmaceutical Sciences, Osaka University, Osaka 5650871, Japan; cGraduate School of Medicine, Osaka University, Osaka 5650871, Japan; and dThe Institute of Medical Science, The University of Tokyo, Tokyo 1088639, Japan Edited by Mariana F. Wolfner, Cornell University, Ithaca, NY, and approved July 27, 2021 (received for review April 8, 2021) Calcineurin is a calcium-dependent phosphatase that plays roles in calcineurin can be a target for reversible and rapidly acting male a variety of biological processes including immune responses. In sper- contraceptives (5). However, it is challenging to develop molecules matozoa, there is a testis-enriched calcineurin composed of PPP3CC and that specifically inhibit sperm calcineurin and not somatic calci- PPP3R2 (sperm calcineurin) that is essential for sperm motility and male neurin because of sequence similarities (82% amino acid identity fertility. Because sperm calcineurin has been proposed as a target for between human PPP3CA and PPP3CC and 85% amino acid reversible male contraceptives, identifying proteins that interact with identity between human PPP3R1 and PPP3R2). Therefore, identi- sperm calcineurin widens the choice for developing specific inhibitors. fying proteins that interact with sperm calcineurin widens the choice Here, by screening the calcineurin-interacting PxIxIT consensus motif of inhibitors that target the sperm calcineurin pathway. in silico and analyzing the function of candidate proteins through the The PxIxIT motif is a conserved sequence found in generation of gene-modified mice, we discovered that SPATA33 inter- calcineurin-binding proteins (8, 9).
    [Show full text]
  • Supporting Information
    Supporting Information Mulders et al. 10.1073/pnas.0905780106 SI Materials and Methods in Opti-MEM (Invitrogen) to myoblasts, in both cases at a final Animals. Hemizygous DM500 mice, derived from the DM300– oligo concentration of 200 nM. Fresh medium was supplemented 328 line (1), express a transgenic human DM1 locus, which bears after 4 hours. After 24 h, medium was changed. RNA was a repeat segment that has expanded to Ϸ500 CTG triplets, isolated 48 h after transfection. because of intergenerational triplet-repeat instability. For the isolation of immortal DM500 myoblasts, DM500 mice were RNA Isolation. Typically, RNA from cultured cells was isolated crossed with H-2Kb-tsA58 transgenic mice (2). Homozygous using the Aurum Total RNA mini kit (guanidine-HCl/ HSALR20b mice express a (CUG)250 segment in the context of mercaptoethanol-based lysis, silica membrane binding; Bio- a human skeletal actin transcript (3). All animal experiments Rad), according to the manufacturer’s protocol. RNA from were approved by the Institutional Animal Care and Use Com- muscle tissue was isolated using TRIzol reagent (Invitrogen). mittees of the Radboud University Nijmegen and the University Alternative methods to isolate RNA from cultured cells in- of Rochester Medical Center. volved: (i) use of the TRIzol reagent, according to the manu- facturer’s protocol; (ii) an oligo(dT) affinity column (Nucleo- Cell Culture. An immortal mouse myoblast cell culture expressing Trap mRNA mini kit; Macherey-Nagel) for the isolation of hDMPK (CUG)500 transcripts was derived from GPS tissue poly(A) RNA; or (iii) a TRIzol procedure preceded by a isolated from DM500 mice additionally expressing 1 copy of the proteinase K digestion of the whole cell lysate (7): in short, cells H-2Kb-tsA58 allele (4).
    [Show full text]
  • The Purification and Identification of Interactors to Elucidate Novel Connections in the HEK 293 Cell Line
    The Purification and Identification of Interactors to Elucidate Novel Connections in the HEK 293 Cell Line Brett Hawley Biochemistry, Microbiology and Immunology Faculty of Medicine University of Ottawa © Brett Hawley, Ottawa, Canada, 2012 ABSTRACT The field of proteomics studies the structure and function of proteins in a large scale and high throughput manner. My work in the field of proteomics focuses on identifying interactions between proteins and discovering novel interactions. The identification of these interactions provides new information on metabolic and disease pathways and the working proteome of a cell. Cells are lysed and purified using antibody based affinity purification followed by digestion and identification using an HPLC coupled to a mass spectrometer. In my studies, I looked at the interaction networks of several AD related genes (Apolipoprotein E, Clusterin variant 1 and 2, Low-density lipoprotein receptor, Phosphatidylinositol binding clathrin assembly protein, Alpha- synuclein and Platelet-activating factor receptor) and an endosomal recycling pathway involved in cholesterol metabolism (Eps15 homology domain 1,2 and 4, Proprotein convertase subtilisin/kexin type 9 and Low-density lipoprotein receptor). Several novel and existing interactors were identified and these interactions were validated using co-immunopurification, which could be the basis for future research. ii ACKNOWLEDGEMENTS I would like to take this opportunity to thank my supervisor, Dr. Daniel Figeys, for his support and guidance throughout my studies in his lab. It was a great experience to work in his lab and I am very thankful I was given the chance to learn and work under him. I would also like to thank the members of my lab for all their assistance in learning new techniques and equipment in the lab.
    [Show full text]
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
    Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated.
    [Show full text]
  • Downloaded from [266]
    Patterns of DNA methylation on the human X chromosome and use in analyzing X-chromosome inactivation by Allison Marie Cotton B.Sc., The University of Guelph, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in The Faculty of Graduate Studies (Medical Genetics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) January 2012 © Allison Marie Cotton, 2012 Abstract The process of X-chromosome inactivation achieves dosage compensation between mammalian males and females. In females one X chromosome is transcriptionally silenced through a variety of epigenetic modifications including DNA methylation. Most X-linked genes are subject to X-chromosome inactivation and only expressed from the active X chromosome. On the inactive X chromosome, the CpG island promoters of genes subject to X-chromosome inactivation are methylated in their promoter regions, while genes which escape from X- chromosome inactivation have unmethylated CpG island promoters on both the active and inactive X chromosomes. The first objective of this thesis was to determine if the DNA methylation of CpG island promoters could be used to accurately predict X chromosome inactivation status. The second objective was to use DNA methylation to predict X-chromosome inactivation status in a variety of tissues. A comparison of blood, muscle, kidney and neural tissues revealed tissue-specific X-chromosome inactivation, in which 12% of genes escaped from X-chromosome inactivation in some, but not all, tissues. X-linked DNA methylation analysis of placental tissues predicted four times higher escape from X-chromosome inactivation than in any other tissue. Despite the hypomethylation of repetitive elements on both the X chromosome and the autosomes, no changes were detected in the frequency or intensity of placental Cot-1 holes.
    [Show full text]
  • Dependent Traits in Mice Models of Hyperthyroidism and Hypothyroidism
    Phenotypical characterization of sex- dependent traits in mice models of hyperthyroidism and hypothyroidism Inaugural-Dissertation zur Erlangung des Doktorgrades Dr. rer. nat. der Fakultät für Biologie an der Universität Duisburg-Essen vorgelegt von Helena Rakov aus St. Petropawlowsk April 2017 Die der vorliegenden Arbeit zugrunde liegenden Experimente wurden am Universitätsklinikum Essen in der Klinik für Endokrinologie und Stoffwechselerkrankungen durchgeführt. 1. Gutachter: Prof. Dr. Dr. Dagmar Führer-Sakel 2. Gutachter: Prof. Dr. Elke Cario Vorsitzender des Prüfungsausschusses: Prof. Dr. Ruth Grümmer Tag der mündlichen Prüfung: 17.07.2017 Publications Publications Engels Kathrin*, Rakov Helena *, Zwanziger Denise, Moeller Lars C., Homuth Georg, Köhrle Josef, Brix Klaudia, Fuhrer Dagmar. Differences in mouse hepatic thyroid hormone transporter expression with age and hyperthyroidism. Eur Thyroid J 2015;4(suppl 1):81–86. DOI: 10.1159/000381020. *contributed equally Zwanziger Denise*, Rakov Helena*, Engels Kathrin, Moeller Lars C., Fuhrer Dagmar. Sex-dependent claudin-1 expression in liver of eu- and hypothyroid mice. Eur Thyroid J. 2015 Sep; 4(Suppl 1): 67–73. DOI: 10.1159/000431316. *contributed equally Engels Kathrin*, Rakov Helena*, Zwanziger Denise, Hoenes Georg Sebastian, Rehders Maren, Brix Klaudia, Koehrle Josef, Moeller Lars Christian, Fuhrer Dagmar. Efficacy of protocols for induction of chronic hyperthyroidism in male and female mice. Endocrine. 2016 Oct;54(1):47-54. DOI: 10.1007/s12020-016-1020-8. Rakov Helena*, Engels Kathrin*, Hönes Georg Sebastian, Strucksberg Karl-Heinz, Moeller Lars Christian, Köhrle Josef, Zwanziger Denise, Führer Dagmar. Sex-specific phenotypes of hyperthyroidism and hypothyroidism in mice. Biol Sex Differ. 2016 Aug 24;7(1):36. DOI: 10.1186/s13293-016-0089-3.
    [Show full text]
  • Genetic and Genomic Analysis of Hyperlipidemia, Obesity and Diabetes Using (C57BL/6J × TALLYHO/Jngj) F2 Mice
    University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Nutrition Publications and Other Works Nutrition 12-19-2010 Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P. Stewart Marshall University Hyoung Y. Kim University of Tennessee - Knoxville, [email protected] Arnold M. Saxton University of Tennessee - Knoxville, [email protected] Jung H. Kim Marshall University Follow this and additional works at: https://trace.tennessee.edu/utk_nutrpubs Part of the Animal Sciences Commons, and the Nutrition Commons Recommended Citation BMC Genomics 2010, 11:713 doi:10.1186/1471-2164-11-713 This Article is brought to you for free and open access by the Nutrition at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Nutrition Publications and Other Works by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. Stewart et al. BMC Genomics 2010, 11:713 http://www.biomedcentral.com/1471-2164/11/713 RESEARCH ARTICLE Open Access Genetic and genomic analysis of hyperlipidemia, obesity and diabetes using (C57BL/6J × TALLYHO/JngJ) F2 mice Taryn P Stewart1, Hyoung Yon Kim2, Arnold M Saxton3, Jung Han Kim1* Abstract Background: Type 2 diabetes (T2D) is the most common form of diabetes in humans and is closely associated with dyslipidemia and obesity that magnifies the mortality and morbidity related to T2D. The genetic contribution to human T2D and related metabolic disorders is evident, and mostly follows polygenic inheritance. The TALLYHO/ JngJ (TH) mice are a polygenic model for T2D characterized by obesity, hyperinsulinemia, impaired glucose uptake and tolerance, hyperlipidemia, and hyperglycemia.
    [Show full text]