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Mechanism-Anchored Profiling Derived from Epigenetic Networks Predicts Outcome in Acute Lymphoblastic Leukemia Xinan Yang, PhD1, Yong Huang, MD1, James L Chen, MD1, Jianming Xie, MSc2, Xiao Sun, PhD2, Yves A Lussier, MD1,3,4§ 1Center for Biomedical Informatics and Section of Genetic Medicine, Department of Medicine, The University of Chicago, Chicago, IL 60637 USA 2State Key Laboratory of Bioelectronics, Southeast University, 210096 Nanjing, P.R.China 3The University of Chicago Cancer Research Center, and The Ludwig Center for Metastasis Research, The University of Chicago, Chicago, IL 60637 USA 4The Institute for Genomics and Systems Biology, and the Computational Institute, The University of Chicago, Chicago, IL 60637 USA §Corresponding author Email addresses: XY: [email protected] YH: [email protected] JC: [email protected] JX: [email protected] XS: [email protected] YL: [email protected] - 1 - Abstract Background Current outcome predictors based on “molecular profiling” rely on gene lists selected without consideration for their molecular mechanisms. This study was designed to demonstrate that we could learn about genes related to a specific mechanism and further use this knowledge to predict outcome in patients – a paradigm shift towards accurate “mechanism-anchored profiling”. We propose a novel algorithm, PGnet, which predicts a tripartite mechanism-anchored network associated to epigenetic regulation consisting of phenotypes, genes and mechanisms. Genes termed as GEMs in this network meet all of the following criteria: (i) they are co-expressed with genes known to be involved in the biological mechanism of interest, (ii) they are also differentially expressed between distinct phenotypes relevant to the study, and (iii) as a biomodule, genes correlate with both the mechanism and the phenotype. -
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. -
Instability of the Pseudoautosomal Boundary in House Mice
Genetics: Early Online, published on April 26, 2019 as 10.1534/genetics.119.302232 Article/Investigation Instability of the pseudoautosomal boundary in house mice Andrew P Morgan∗, Timothy A Bell∗, James J Crowley∗; y; z, and Fernando Pardo-Manuel de Villena∗ ∗Department of Genetics and Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC yDepartment of Psychiatry, University of North Carolina, Chapel Hill, NC zDepartment of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden April 26, 2019 Corresponding authors: Andrew P Morgan ([email protected]) Fernando Pardo-Manuel de Villena ([email protected]) 5049C Genetic Medicine Building Department of Genetics University of North Carolina Chapel Hill NC 27599-7264 Keywords: meiosis, recombination, pseudoautosomal region, sex chromosome evolution 1 Copyright 2019. Abstract Faithful segregation of homologous chromosomes at meiosis requires pairing and recombination. In taxa with dimorphic sex chromosomes, pairing between them in the heterogametic sex is limited to a narrow inter- val of residual sequence homology known as the pseudoautosomal region (PAR). Failure to form the obligate crossover in the PAR is associated with male infertility in house mice (Mus musculus) and humans. Yet despite this apparent functional constraint, the boundary and organization of the PAR is highly variable in mammals, and even between subspecies of mice. Here we estimate the genetic map in a previously-documented ex- pansion of the PAR in the Mus musculus castaneus subspecies and show that the local recombination rate is 100-fold higher than the autosomal background. We identify an independent shift in the PAR boundary in the Mus musculus musculus subspecies and show that it involves a complex rearrangement but still recombines in heterozygous males. -
Predicting Clinical Response to Treatment with a Soluble Tnf-Antagonist Or Tnf, Or a Tnf Receptor Agonist
(19) TZZ _ __T (11) EP 2 192 197 A1 (12) EUROPEAN PATENT APPLICATION (43) Date of publication: (51) Int Cl.: 02.06.2010 Bulletin 2010/22 C12Q 1/68 (2006.01) (21) Application number: 08170119.5 (22) Date of filing: 27.11.2008 (84) Designated Contracting States: (72) Inventor: The designation of the inventor has not AT BE BG CH CY CZ DE DK EE ES FI FR GB GR yet been filed HR HU IE IS IT LI LT LU LV MC MT NL NO PL PT RO SE SI SK TR (74) Representative: Habets, Winand Designated Extension States: Life Science Patents AL BA MK RS PO Box 5096 6130 PB Sittard (NL) (71) Applicant: Vereniging voor Christelijk Hoger Onderwijs, Wetenschappelijk Onderzoek en Patiëntenzorg 1081 HV Amsterdam (NL) (54) Predicting clinical response to treatment with a soluble tnf-antagonist or tnf, or a tnf receptor agonist (57) The invention relates to methods for predicting a clinical response to a therapy with a soluble TNF antagonist, TNF or a TNF receptor agonist and a kit for use in said methods. EP 2 192 197 A1 Printed by Jouve, 75001 PARIS (FR) EP 2 192 197 A1 Description [0001] The invention relates to methods for predicting a clinical response to a treatment with a soluble TNF antagonist, with TNF or a TNF receptor agonist using expression levels of genes of the Type I INF pathway and a kit for use in said 5 methods. In another aspect, the invention relates to a method for evaluating a pharmacological effect of a treatment with a soluble TNF antagonist, TNF or a TNF receptor agonist. -
Structural and Numerical Changes of Chromosome X in Patients with Esophageal Atresia
European Journal of Human Genetics (2014) 22, 1077–1084 & 2014 Macmillan Publishers Limited All rights reserved 1018-4813/14 www.nature.com/ejhg ARTICLE Structural and numerical changes of chromosome X in patients with esophageal atresia Erwin Brosens*,1,2,5, Elisabeth M de Jong1,2,5, Tahsin Stefan Barakat3, Bert H Eussen1, Barbara D’haene4, Elfride De Baere4, Hannah Verdin4, Pino J Poddighe1, Robert-Jan Galjaard1, Joost Gribnau3, Alice S Brooks1, Dick Tibboel2 and Annelies de Klein1 Esophageal atresia with or without tracheoesophageal fistula (EA/TEF) is a relatively common birth defect often associated with additional congenital anomalies such as vertebral, anal, cardiovascular, renal and limb defects, the so-called VACTERL association. Yet, little is known about the causal genetic factors. Rare case reports of gastrointestinal anomalies in children with triple X syndrome prompted us to survey the incidence of structural and numerical changes of chromosome X in patients with EA/TEF. All available (n ¼ 269) karyotypes of our large (321) EA/TEF patient cohort were evaluated for X-chromosome anomalies. If sufficient DNA material was available, we determined genome-wide copy number profiles with SNP array and identified subtelomeric aberrations on the difficult to profile PAR1 region using telomere-multiplex ligation-dependent probe amplification. In addition, we investigated X-chromosome inactivation (XCI) patterns and mode of inheritance of detected aberrations in selected patients. Three EA/TEF patients had an additional maternally inherited X chromosome. These three female patients had normal random XCI patterns. Two male EA/TEF patients had small inherited duplications of the XY-linked SHOX (Short stature HOmeoboX-containing) locus. -
The Metabolic Serine Hydrolases and Their Functions in Mammalian Physiology and Disease Jonathan Z
REVIEW pubs.acs.org/CR The Metabolic Serine Hydrolases and Their Functions in Mammalian Physiology and Disease Jonathan Z. Long* and Benjamin F. Cravatt* The Skaggs Institute for Chemical Biology and Department of Chemical Physiology, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, California 92037, United States CONTENTS 2.4. Other Phospholipases 6034 1. Introduction 6023 2.4.1. LIPG (Endothelial Lipase) 6034 2. Small-Molecule Hydrolases 6023 2.4.2. PLA1A (Phosphatidylserine-Specific 2.1. Intracellular Neutral Lipases 6023 PLA1) 6035 2.1.1. LIPE (Hormone-Sensitive Lipase) 6024 2.4.3. LIPH and LIPI (Phosphatidic Acid-Specific 2.1.2. PNPLA2 (Adipose Triglyceride Lipase) 6024 PLA1R and β) 6035 2.1.3. MGLL (Monoacylglycerol Lipase) 6025 2.4.4. PLB1 (Phospholipase B) 6035 2.1.4. DAGLA and DAGLB (Diacylglycerol Lipase 2.4.5. DDHD1 and DDHD2 (DDHD Domain R and β) 6026 Containing 1 and 2) 6035 2.1.5. CES3 (Carboxylesterase 3) 6026 2.4.6. ABHD4 (Alpha/Beta Hydrolase Domain 2.1.6. AADACL1 (Arylacetamide Deacetylase-like 1) 6026 Containing 4) 6036 2.1.7. ABHD6 (Alpha/Beta Hydrolase Domain 2.5. Small-Molecule Amidases 6036 Containing 6) 6027 2.5.1. FAAH and FAAH2 (Fatty Acid Amide 2.1.8. ABHD12 (Alpha/Beta Hydrolase Domain Hydrolase and FAAH2) 6036 Containing 12) 6027 2.5.2. AFMID (Arylformamidase) 6037 2.2. Extracellular Neutral Lipases 6027 2.6. Acyl-CoA Hydrolases 6037 2.2.1. PNLIP (Pancreatic Lipase) 6028 2.6.1. FASN (Fatty Acid Synthase) 6037 2.2.2. PNLIPRP1 and PNLIPR2 (Pancreatic 2.6.2. -
Table S2.Up Or Down Regulated Genes in Tcof1 Knockdown Neuroblastoma N1E-115 Cells Involved in Differentbiological Process Anal
Table S2.Up or down regulated genes in Tcof1 knockdown neuroblastoma N1E-115 cells involved in differentbiological process analysed by DAVID database Pop Pop Fold Term PValue Genes Bonferroni Benjamini FDR Hits Total Enrichment GO:0044257~cellular protein catabolic 2.77E-10 MKRN1, PPP2R5C, VPRBP, MYLIP, CDC16, ERLEC1, MKRN2, CUL3, 537 13588 1.944851 8.64E-07 8.64E-07 5.02E-07 process ISG15, ATG7, PSENEN, LOC100046898, CDCA3, ANAPC1, ANAPC2, ANAPC5, SOCS3, ENC1, SOCS4, ASB8, DCUN1D1, PSMA6, SIAH1A, TRIM32, RNF138, GM12396, RNF20, USP17L5, FBXO11, RAD23B, NEDD8, UBE2V2, RFFL, CDC GO:0051603~proteolysis involved in 4.52E-10 MKRN1, PPP2R5C, VPRBP, MYLIP, CDC16, ERLEC1, MKRN2, CUL3, 534 13588 1.93519 1.41E-06 7.04E-07 8.18E-07 cellular protein catabolic process ISG15, ATG7, PSENEN, LOC100046898, CDCA3, ANAPC1, ANAPC2, ANAPC5, SOCS3, ENC1, SOCS4, ASB8, DCUN1D1, PSMA6, SIAH1A, TRIM32, RNF138, GM12396, RNF20, USP17L5, FBXO11, RAD23B, NEDD8, UBE2V2, RFFL, CDC GO:0044265~cellular macromolecule 6.09E-10 MKRN1, PPP2R5C, VPRBP, MYLIP, CDC16, ERLEC1, MKRN2, CUL3, 609 13588 1.859332 1.90E-06 6.32E-07 1.10E-06 catabolic process ISG15, RBM8A, ATG7, LOC100046898, PSENEN, CDCA3, ANAPC1, ANAPC2, ANAPC5, SOCS3, ENC1, SOCS4, ASB8, DCUN1D1, PSMA6, SIAH1A, TRIM32, RNF138, GM12396, RNF20, XRN2, USP17L5, FBXO11, RAD23B, UBE2V2, NED GO:0030163~protein catabolic process 1.81E-09 MKRN1, PPP2R5C, VPRBP, MYLIP, CDC16, ERLEC1, MKRN2, CUL3, 556 13588 1.87839 5.64E-06 1.41E-06 3.27E-06 ISG15, ATG7, PSENEN, LOC100046898, CDCA3, ANAPC1, ANAPC2, ANAPC5, SOCS3, ENC1, SOCS4, -
A Detailed Genome-Wide Reconstruction of Mouse Metabolism Based on Human Recon 1
UC San Diego UC San Diego Previously Published Works Title A detailed genome-wide reconstruction of mouse metabolism based on human Recon 1 Permalink https://escholarship.org/uc/item/0ck1p05f Journal BMC Systems Biology, 4(1) ISSN 1752-0509 Authors Sigurdsson, Martin I Jamshidi, Neema Steingrimsson, Eirikur et al. Publication Date 2010-10-19 DOI http://dx.doi.org/10.1186/1752-0509-4-140 Supplemental Material https://escholarship.org/uc/item/0ck1p05f#supplemental Peer reviewed eScholarship.org Powered by the California Digital Library University of California Sigurdsson et al. BMC Systems Biology 2010, 4:140 http://www.biomedcentral.com/1752-0509/4/140 RESEARCH ARTICLE Open Access A detailed genome-wide reconstruction of mouse metabolism based on human Recon 1 Martin I Sigurdsson1,2,3, Neema Jamshidi4, Eirikur Steingrimsson1,3, Ines Thiele3,5*, Bernhard Ø Palsson3,4* Abstract Background: Well-curated and validated network reconstructions are extremely valuable tools in systems biology. Detailed metabolic reconstructions of mammals have recently emerged, including human reconstructions. They raise the question if the various successful applications of microbial reconstructions can be replicated in complex organisms. Results: We mapped the published, detailed reconstruction of human metabolism (Recon 1) to other mammals. By searching for genes homologous to Recon 1 genes within mammalian genomes, we were able to create draft metabolic reconstructions of five mammals, including the mouse. Each draft reconstruction was created in compartmentalized and non-compartmentalized version via two different approaches. Using gap-filling algorithms, we were able to produce all cellular components with three out of four versions of the mouse metabolic reconstruction. -
Analyses of PDE-Regulated Phosphoproteomes Reveal Unique and Specific Camp Signaling Modules in T Cells
Analyses of PDE-regulated phosphoproteomes reveal unique and specific cAMP signaling modules in T cells Michael-Claude G. Beltejar A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy University of Washington 2017 Reading Committee: Joseph Beavo, Chair Shao-en Ong Richard Gardner Program Authorized to Offer Degree: Molecular and Cellular Biology ©Copyright 2017 Michael-Claude G. Beltejar University of Washington Abstract Analyses of PDE-regulated phosphoproteomes reveal unique and specific cAMP signaling modules in T cells Michael-Claude G. Beltejar Chair of the Supervisory Committee: Professor Joseph A. Beavo Department of Pharmacology Specific functions for different cyclic nucleotide phosphodiesterases (PDEs) have not yet been identified in most cell types. Conventional approaches to study PDE function typically rely on measurements of global cAMP, general increases in cAMP-dependent protein kinase (PKA), or exchange protein activated by cAMP (EPAC) activity. Although newer approaches utilizing subcellularly-targeted FRET reporter sensors have helped to define more compartmentalized regulation of cAMP, PKA, and EPAC, they have limited ability to link this regulation to downstream effector molecules and biological functions. To address this problem, we used an unbiased, mass spectrometry based approach coupled with treatment using PDE isozyme- selective inhibitors to characterize the phosphoproteomes of the “functional pools” of cAMP/PKA/EPAC that are regulated by specific cAMP-PDEs (the PDE-regulated phosphoproteomes). In Jurkat cells we found multiple, distinct phosphoproteomes that differ in response to different PDE inhibitors. We also found that little phosphorylation occurs unless at least 2 different PDEs are concurrently inhibited in these cells. Moreover, bioinformatics analyses of these phosphoproteomes provides insight into the functional roles, mechanisms of action, and synergistic relationships among the different PDEs that coordinate cAMP-signaling cascades in these cells. -
UC San Diego UC San Diego Electronic Theses and Dissertations
UC San Diego UC San Diego Electronic Theses and Dissertations Title Insights from reconstructing cellular networks in transcription, stress, and cancer Permalink https://escholarship.org/uc/item/6s97497m Authors Ke, Eugene Yunghung Ke, Eugene Yunghung Publication Date 2012 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California UNIVERSITY OF CALIFORNIA, SAN DIEGO Insights from Reconstructing Cellular Networks in Transcription, Stress, and Cancer A dissertation submitted in the partial satisfaction of the requirements for the degree Doctor of Philosophy in Bioinformatics and Systems Biology by Eugene Yunghung Ke Committee in charge: Professor Shankar Subramaniam, Chair Professor Inder Verma, Co-Chair Professor Web Cavenee Professor Alexander Hoffmann Professor Bing Ren 2012 The Dissertation of Eugene Yunghung Ke is approved, and it is acceptable in quality and form for the publication on microfilm and electronically ________________________________________________________________ ________________________________________________________________ ________________________________________________________________ ________________________________________________________________ Co-Chair ________________________________________________________________ Chair University of California, San Diego 2012 iii DEDICATION To my parents, Victor and Tai-Lee Ke iv EPIGRAPH [T]here are known knowns; there are things we know we know. We also know there are known unknowns; that is to say we know there -
Dosage Regulation of the Active X Chromosome in Human Triploid Cells
Dosage Regulation of the Active X Chromosome in Human Triploid Cells Xinxian Deng1, Di Kim Nguyen1, R. Scott Hansen2,3, Daniel L. Van Dyke4, Stanley M. Gartler2,3, Christine M. Disteche1,2* 1 Department of Pathology, University of Washington, Seattle, Washington, United States of America, 2 Department of Medicine, University of Washington, Seattle, Washington, United States of America, 3 Department of Genome Sciences, University of Washington, Seattle, Washington, United States of America, 4 Mayo Clinic College of Medicine, Rochester, Minnesota, United States of America Abstract In mammals, dosage compensation is achieved by doubling expression of X-linked genes in both sexes, together with X inactivation in females. Up-regulation of the active X chromosome may be controlled by DNA sequence–based and/or epigenetic mechanisms that double the X output potentially in response to autosomal factor(s). To determine whether X expression is adjusted depending on ploidy, we used expression arrays to compare X-linked and autosomal gene expression in human triploid cells. While the average X:autosome expression ratio was about 1 in normal diploid cells, this ratio was lower (0.81–0.84) in triploid cells with one active X and higher (1.32–1.4) in triploid cells with two active X’s. Thus, overall X- linked gene expression in triploid cells does not strictly respond to an autosomal factor, nor is it adjusted to achieve a perfect balance. The unbalanced X:autosome expression ratios that we observed could contribute to the abnormal phenotypes associated with triploidy. Absolute autosomal expression levels per gene copy were similar in triploid versus diploid cells, indicating no apparent global effect on autosomal expression. -
(12) United States Patent (10) Patent No.: US 9.228,204 B2 Pulst Et Al
USOO9228204B2 (12) United States Patent (10) Patent No.: US 9.228,204 B2 Pulst et al. (45) Date of Patent: Jan. 5, 2016 (54) CONSTRUCTS FOR MAKING INDUCED 2010, O184051 A1 7/2010 Hochedlinger et al. PLURPOTENT STEM CELLS 2010/0279.404 A1 11/2010 Yamanaka et al. 2010.0311171 A1 12/2010 Nakanishi et al. (71) Applicant: University of Utah Research Foundation, Salt Lake City, UT (US) FOREIGN PATENT DOCUMENTS EP 2263705 12/2010 (72) Inventors: Stefan M. Pulst, Salt Lake City, UT KR 2009 OO83761 8, 2009 (US); Sharan Paul, Salt Lake City, UT WO WO 2008,151058 12/2008 (US); Warunee Dansithong, Salt Lake WO WO 2009/007852 1, 2009 City, UT (US) WO WO 2009/092042 T 2009 WO WO 2009,093O22 T 2009 WO WO 2009/096614 8, 2009 (73) Assignee: University of Utah Research WO WO 2009/131262 10/2009 Foundation, Salt Lake City, UT (US) WO WO 2009,133971 11, 2009 WO WO 2009,140655 11, 2009 (*) Notice: Subject to any disclaimer, the term of this WO WO 2009, 149233 12/2009 patent is extended or adjusted under 35 WO WO 2009,152485 12/2009 U.S.C. 154(b) by 0 days. WO WO 2010/017562 2, 2010 WO WO 2010/O19569 2, 2010 WO WO 2010/028O19 3, 2010 (21) Appl. No.: 13/975,004 WO WO 2010/036923 4/2010 (22) Filed: Aug. 23, 2013 OTHER PUBLICATIONS (65) Prior Publication Data Takahashi (Cell, 2006, vol. 126:663-676).* US 2014/O 170752 A1 Jun. 19, 2014 Yu (Science, 2007, vol.