EZH2 and KDM6B Expressions Are Associated with Specific Epigenetic
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The Title of the Dissertation
UNIVERSITY OF CALIFORNIA SAN DIEGO Novel network-based integrated analyses of multi-omics data reveal new insights into CD8+ T cell differentiation and mouse embryogenesis A dissertation submitted in partial satisfaction of the requirements for the degree Doctor of Philosophy in Bioinformatics and Systems Biology by Kai Zhang Committee in charge: Professor Wei Wang, Chair Professor Pavel Arkadjevich Pevzner, Co-Chair Professor Vineet Bafna Professor Cornelis Murre Professor Bing Ren 2018 Copyright Kai Zhang, 2018 All rights reserved. The dissertation of Kai Zhang is approved, and it is accept- able in quality and form for publication on microfilm and electronically: Co-Chair Chair University of California San Diego 2018 iii EPIGRAPH The only true wisdom is in knowing you know nothing. —Socrates iv TABLE OF CONTENTS Signature Page ....................................... iii Epigraph ........................................... iv Table of Contents ...................................... v List of Figures ........................................ viii List of Tables ........................................ ix Acknowledgements ..................................... x Vita ............................................. xi Abstract of the Dissertation ................................. xii Chapter 1 General introduction ............................ 1 1.1 The applications of graph theory in bioinformatics ......... 1 1.2 Leveraging graphs to conduct integrated analyses .......... 4 1.3 References .............................. 6 Chapter 2 Systematic -
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. -
TWIST1 and TWIST2 Regulate Glycogen Storage and Inflammatory
J M MUDRY and others TWIST regulation of metabolism 224:3 303–313 Research in muscle TWIST1 and TWIST2 regulate glycogen storage and inflammatory genes in skeletal muscle Correspondence 1 1 2 1,2 Jonathan M Mudry , Julie Massart , Ferenc L M Szekeres and Anna Krook should be addressed to A Krook 1Section for Integrative Physiology, Department of Molecular Medicine and Surgery, and 2Section for Integrative Email Physiology, Department of Physiology and Pharmacology, Karolinska Institutet, SE-171 77 Stockholm, Sweden [email protected] Abstract TWIST proteins are important for development of embryonic skeletal muscle and play a role Key Words in the metabolism of tumor and white adipose tissue. The impact of TWIST on metabolism " TWIST in skeletal muscle is incompletely studied. Our aim was to assess the impact of TWIST1 " metabolism and TWIST2 overexpression on glucose and lipid metabolism. In intact mouse muscle, " glycogen overexpression of Twist reduced total glycogen content without altering glucose uptake. " skeletal muscle Expression of TWIST1 or TWIST2 reduced Pdk4 mRNA, while increasing mRNA levels of Il6, Tnfa, and Il1b. Phosphorylation of AKT was increased and protein abundance of acetyl CoA carboxylase (ACC) was decreased in skeletal muscle overexpressing TWIST1 or TWIST2. Glycogen synthesis and fatty acid oxidation remained stable in C2C12 cells overexpressing TWIST1 or TWIST2. Finally, skeletal muscle mRNA levels remain unaltered in ob/ob mice, type 2 diabetic patients, or in healthy subjects before and after 3 months of exercise training. Journal of Endocrinology Collectively, our results indicate that TWIST1 and TWIST2 are expressed in skeletal muscle. Overexpression of these proteins impacts proteins in metabolic pathways and mRNA level of cytokines. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Histone H3k27me3 Demethylases Regulate Human Th17 Cell Development and Effector Functions by Impacting on Metabolism
Histone H3K27me3 demethylases regulate human Th17 cell development and effector functions by impacting on metabolism Adam P. Cribbsa,1, Stefan Terlecki-Zaniewicza, Martin Philpotta, Jeroen Baardmanb, David Ahernc, Morten Lindowd, Susanna Obadd, Henrik Oerumd, Brante Sampeye, Palwinder K. Manderf, Henry Penng, Paul Wordswortha, Paul Bownessa, Menno de Wintherh, Rab K. Prinjhaf, Marc Feldmanna,c,1, and Udo Oppermanna,i,j,k,1 aBotnar Research Center, Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, National Institute for Health Research Oxford Biomedical Research Unit, University of Oxford, OX3 7LD Oxford, United Kingdom; bExperimental Vascular Biology, Department of Medical Biochemistry, Amsterdam Cardiovascular Sciences, Amsterdam University Medical Centres, University of Amsterdam, 1105AZ Amsterdam, The Netherlands; cKennedy Institute of Rheumatology, Nuffield Department of Orthopedics, Rheumatology and Musculoskeletal Sciences, National Institute for Health Research Oxford Biomedical Research Unit, University of Oxford, OX3 7FY Oxford, United Kingdom; dRoche Innovation Center Copenhagen A/S, DK 2970 Hørsholm, Denmark; eMetabolon Inc., Durham, NC 27713; fEpinova Discovery Performance Unit, Medicines Research Centre, GlaxoSmithKline R&D, SG1 2NY Stevenage, United Kingdom; gArthritis Centre, Northwick Park Hospital, HA13UJ Harrow, United Kingdom; hInstitute for Cardiovascular Prevention, Ludwig Maximilians University, 80336 Munich, Germany; iStructural Genomics Consortium, University of Oxford, OX3 7DQ Oxford, -
A Genome-Wide Association Study Identifies Four Novel Susceptibility Loci Underlying Inguinal Hernia
UCSF UC San Francisco Previously Published Works Title A genome-wide association study identifies four novel susceptibility loci underlying inguinal hernia. Permalink https://escholarship.org/uc/item/7g06z1k5 Journal Nature communications, 6(1) ISSN 2041-1723 Authors Jorgenson, Eric Makki, Nadja Shen, Ling et al. Publication Date 2015-12-21 DOI 10.1038/ncomms10130 Peer reviewed eScholarship.org Powered by the California Digital Library University of California ARTICLE Received 24 Aug 2015 | Accepted 6 Nov 2015 | Published 21 Dec 2015 DOI: 10.1038/ncomms10130 OPEN A genome-wide association study identifies four novel susceptibility loci underlying inguinal hernia Eric Jorgenson1,*, Nadja Makki2,3,*, Ling Shen1, David C. Chen4, Chao Tian5, Walter L. Eckalbar2,3, David Hinds5, Nadav Ahituv2,3 & Andrew Avins1 Inguinal hernia repair is one of the most commonly performed operations in the world, yet little is known about the genetic mechanisms that predispose individuals to develop inguinal hernias. We perform a genome-wide association analysis of surgically confirmed inguinal hernias in 72,805 subjects (5,295 cases and 67,510 controls) and confirm top associations in an independent cohort of 92,444 subjects with self-reported hernia repair surgeries (9,701 cases and 82,743 controls). We identify four novel inguinal hernia susceptibility loci in the regions of EFEMP1, WT1, EBF2 and ADAMTS6. Moreover, we observe expression of all four genes in mouse connective tissue and network analyses show an important role for two of these genes (EFEMP1 and WT1) in connective tissue maintenance/homoeostasis. Our findings provide insight into the aetiology of hernia development and highlight genetic pathways for studies of hernia development and its treatment. -
Appendix 2. Significantly Differentially Regulated Genes in Term Compared with Second Trimester Amniotic Fluid Supernatant
Appendix 2. Significantly Differentially Regulated Genes in Term Compared With Second Trimester Amniotic Fluid Supernatant Fold Change in term vs second trimester Amniotic Affymetrix Duplicate Fluid Probe ID probes Symbol Entrez Gene Name 1019.9 217059_at D MUC7 mucin 7, secreted 424.5 211735_x_at D SFTPC surfactant protein C 416.2 206835_at STATH statherin 363.4 214387_x_at D SFTPC surfactant protein C 295.5 205982_x_at D SFTPC surfactant protein C 288.7 1553454_at RPTN repetin solute carrier family 34 (sodium 251.3 204124_at SLC34A2 phosphate), member 2 238.9 206786_at HTN3 histatin 3 161.5 220191_at GKN1 gastrokine 1 152.7 223678_s_at D SFTPA2 surfactant protein A2 130.9 207430_s_at D MSMB microseminoprotein, beta- 99.0 214199_at SFTPD surfactant protein D major histocompatibility complex, class II, 96.5 210982_s_at D HLA-DRA DR alpha 96.5 221133_s_at D CLDN18 claudin 18 94.4 238222_at GKN2 gastrokine 2 93.7 1557961_s_at D LOC100127983 uncharacterized LOC100127983 93.1 229584_at LRRK2 leucine-rich repeat kinase 2 HOXD cluster antisense RNA 1 (non- 88.6 242042_s_at D HOXD-AS1 protein coding) 86.0 205569_at LAMP3 lysosomal-associated membrane protein 3 85.4 232698_at BPIFB2 BPI fold containing family B, member 2 84.4 205979_at SCGB2A1 secretoglobin, family 2A, member 1 84.3 230469_at RTKN2 rhotekin 2 82.2 204130_at HSD11B2 hydroxysteroid (11-beta) dehydrogenase 2 81.9 222242_s_at KLK5 kallikrein-related peptidase 5 77.0 237281_at AKAP14 A kinase (PRKA) anchor protein 14 76.7 1553602_at MUCL1 mucin-like 1 76.3 216359_at D MUC7 mucin 7, -
Solutions for Practice Problems for Molecular Biology, Session 5
Solutions to Practice Problems for Molecular Biology, Session 5: Gene Regulation and the Lac Operon Question 1 a) How does lactose (allolactose) promote transcription of LacZ? 1) Lactose binds to the polymerase and increases efficiency. 2) Lactose binds to a repressor protein, and alters its conformation to prevent it from binding to the DNA and interfering with the binding of RNA polymerase. 3) Lactose binds to an activator protein, which can then help the RNA polymerase bind to the promoter and begin transcription. 4) Lactose prevents premature termination of transcription by directly binding to and bending the DNA. Solution: 2) Lactose binds to a repressor protein, and alters its conformation to prevent it from binding to the DNA and interfering with the binding of RNA polymerase. b) What molecule is used to signal low glucose levels to the Lac operon regulatory system? 1) Cyclic AMP 2) Calcium 3) Lactose 4) Pyruvate Solution: 1) Cyclic AMP. Question 2 You design a summer class where you recreate experiments studying the lac operon in E. coli (see schematic below). In your experiments, the activity of the enzyme b-galactosidase (β -gal) is measured by including X-gal and IPTG in the growth media. X-gal is a lactose analog that turns blue when metabolisize by b-gal, but it does not induce the lac operon. IPTG is an inducer of the lac operon but is not metabolized by b-gal. I O lacZ Plac Binding site for CAP Pi Gene encoding β-gal Promoter for activator protein Repressor (I) a) Which of the following would you expect to bind to β-galactosidase? Circle all that apply. -
Visualizing Transcription in Real-Time
Cent. Eur. J. Biol. • 3(1) • 2008 • 11-18 DOI: 10.2478/s11535-008-0001-1 Central European Journal of Biology Visualizing transcription in real-time Mini-Review Yehuda Brody, Yaron Shav-Tal* The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan 52900, Israel Received 31 October 2007; Accepted 10 December 2007 Abstract: The transcriptional process is at the center of the gene expression pathway. In eukaryotes, the transcription of protein-coding genes into messenger RNAs is performed by RNA polymerase II. This enzyme is directed to bind at upstream gene sequences by the aid of transcription factors that assemble transcription-competent complexes. A series of biochemical and structural modifications render the polymerase transcriptionally active so that it can proceed from an initiation state into a functional elongating phase. Recent experi- mental efforts have attempted to visualize these processes as they take place on genes in living cells and to quantify the kinetics of in vivo transcription. Keywords: mRNA transcription • Nucleus • Live-cell imaging • Cellular dynamics © Versita Warsaw and Springer-Verlag Berlin Heidelberg. 1. Introduction review will describe the developments in the field of live-cell imaging that have allowed the analysis of mammalian RNA polymerase II transcription kinetics as The central dogma of molecular biology describes the they unfold in real-time. flow of information in the living cell from DNA to RNA to protein [1]. Information can also flow back from protein to nucleic acids. The fundamental process within this pathway that enables the mobility of genetic information 2. Lighting-up the nucleus from the stagnant DNA molecules contained within the cell nucleus to the ribosomal centers of protein Fluorescence microscopy provides the capability of translation and production in the cytoplasm is the following specific molecules as they are produced and process of messenger RNA (mRNA) transcription. -
Bicyclomycin Sensitivity and Resistance Affect Rho Factor-Mediated Transcription Termination in the Tna Operon of Escherichia Coli
JOURNAL OF BACTERIOLOGY, Aug. 1995, p. 4451–4456 Vol. 177, No. 15 0021-9193/95/$04.0010 Copyright 1995, American Society for Microbiology Bicyclomycin Sensitivity and Resistance Affect Rho Factor-Mediated Transcription Termination in the tna Operon of Escherichia coli CHARLES YANOFSKY* AND VIRGINIA HORN Department of Biological Sciences, Stanford University, Stanford, California 94305-5020 Received 13 March 1995/Accepted 27 May 1995 The growth-inhibiting drug bicyclomycin, known to be an inhibitor of Rho factor activity in Escherichia coli, was shown to increase basal level expression of the tryptophanase (tna) operon and to allow growth of a tryptophan auxotroph on indole. The drug also relieved polarity in the trp operon and permitted growth of a trp double nonsense mutant on indole. Nine bicyclomycin-resistant mutants were isolated and partially characterized. Recombination data and genetic and biochemical complementation analyses suggest that five have mutations that affect rho, three have mutations that affect rpoB, and one has a mutation that affects a third locus, near rpoB. Individual mutants showed decreased, normal, or increased basal-level expression of the tna operon. All but one of the resistant mutants displayed greatly increased tna operon expression when grown in the presence of bicyclomycin. The tna operon of the wild-type drug-sensitive parent was also shown to be highly expressed during growth with noninhibitory concentrations of bicyclomycin. These findings demonstrate that resistance to this drug may be acquired by mutations at any one of three loci, two of which appear to be rho and rpoB. Zwiefka et al. (24) found that the antibiotic bicyclomycin segment and interacts with the transcribing RNA polymerase (bicozamycin), an inhibitor of the growth of several gram- molecule, causing it to terminate transcription (7, 9). -
Fine Tuning of Histone Demethylase KDM6A/B Improves the Development of Nuclear 4 Transfer Embryo 5
bioRxiv preprint doi: https://doi.org/10.1101/390484; this version posted August 14, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Title page 2 3 Fine Tuning of Histone Demethylase KDM6A/B Improves the Development of Nuclear 4 Transfer Embryo 5 6 Lei Yang1, 2, Lishuang Song1, 2, Xuefei Liu1, 2, Lige Bai1, 2, and Guangpeng Li1, 2, * 7 1 State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, 8 Inner Mongolia University, Hohhot 010070, China. 9 2 Research Center for Mammalian Reproductive Biology and Biotechnology, College of Life 10 Sciences, Inner Mongolia University, Hohhot 010070, China. 11 * Corresponding author. Tel: +86 471 4994329; E-mail: [email protected] 12 1 bioRxiv preprint doi: https://doi.org/10.1101/390484; this version posted August 14, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 13 Abstract 14 Despite the success of the production of animals by somatic cell nuclear transfer (SCNT) in 15 many species, the method is limited by a low efficiency. After zygotic genome activation 16 (ZGA), a large number of endogenous retroviruses (ERVs) are expressed, including the 17 murine endogenous retrovirus-L (MuERVL/MERVL). In this study, we generated a series of 18 MERVL-reporter mouse strains to detect the ZGA event in embryos. We found that the 19 majority of SCNT embryos exhibited ZGA failure, and histone H3 lysine 27 trimethylation 20 (H3K27me3) prevented SCNT reprogramming. -
Gene Networks Activated by Specific Patterns of Action Potentials in Dorsal Root Ganglia Neurons Received: 10 August 2016 Philip R
www.nature.com/scientificreports OPEN Gene networks activated by specific patterns of action potentials in dorsal root ganglia neurons Received: 10 August 2016 Philip R. Lee1,*, Jonathan E. Cohen1,*, Dumitru A. Iacobas2,3, Sanda Iacobas2 & Accepted: 23 January 2017 R. Douglas Fields1 Published: 03 March 2017 Gene regulatory networks underlie the long-term changes in cell specification, growth of synaptic connections, and adaptation that occur throughout neonatal and postnatal life. Here we show that the transcriptional response in neurons is exquisitely sensitive to the temporal nature of action potential firing patterns. Neurons were electrically stimulated with the same number of action potentials, but with different inter-burst intervals. We found that these subtle alterations in the timing of action potential firing differentially regulates hundreds of genes, across many functional categories, through the activation or repression of distinct transcriptional networks. Our results demonstrate that the transcriptional response in neurons to environmental stimuli, coded in the pattern of action potential firing, can be very sensitive to the temporal nature of action potential delivery rather than the intensity of stimulation or the total number of action potentials delivered. These data identify temporal kinetics of action potential firing as critical components regulating intracellular signalling pathways and gene expression in neurons to extracellular cues during early development and throughout life. Adaptation in the nervous system in response to external stimuli requires synthesis of new gene products in order to elicit long lasting changes in processes such as development, response to injury, learning, and memory1. Information in the environment is coded in the pattern of action-potential firing, therefore gene transcription must be regulated by the pattern of neuronal firing.