Table S1. Complete List of Up- and Down-Regulated Genes in C1 Cells
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Bioinformatics Approach for the Identification of Fragile Regions On
UNIVERSITÉ DU QUÉBEC À MONTRÉAL BIOINFORMATICS APPROACH FOR THE IDENTIFICATION OF FRAGILE REGIONS ON THE HUMAN GENOME THESIS PRESENTED AS PARTIAL REQUIREMENT OF THE MASTERS OF BIOLOGY BY GOLROKH KIANI SEPTEMBER 2015 UNIVERSITÉ DU QUÉBEC À MONTRÉAL Service des bibliothèques Avertissement La diffusion de ce mémoire se fait dans le respect des droits de son auteur, qui a signé le formulaire Autorisation de reproduire et de diffuser un travail de recherche de cycles supérieurs (SDU-522 - Rév.01-2006). Cette autorisation stipule que «conformément à l'article 11 du Règlement no 8 des études de cycles supérieurs, [l'auteur] concède à l'Université du Québec à Montréal une licence non exclusive d'utilisation et de publication de la totalité ou d'une partie importante de [son] travail de recherche pour des fins pédagogiques et non commerciales. Plus précisément, [l 'auteur] autorise l'Université du Québec à Montréal à reproduire, diffuser, prêter, distribuer ou vendre des copies de [son] travail de recherche à des fins non commerciales sur quelque support que ce soit, y compris l'Internet. Cette licence et cette autorisation n'entraînent pas une renonciation de [la] part [de l'auteur] à [ses] droits moraux ni à [ses] droits de propriété intellectuelle. Sauf entente contraire, [l 'auteur] conserve la liberté de diffuser et de commercialiser ou non ce travail dont [il] possède un exemplaire.» UNIVERSITÉ DU QUÉBEC À MONTRÉAL APPROCHE BIOINFORMATIQUE POUR L'IDENTIFICATION DES RÉGIONS FRAGILES SUR LE GÉNOME HUMAIN MÉMOIRE PRÉSENTÉ COMME EXIGENCE PARTIELLE DE LA MAÎTRISE EN BIOLOGIE PAR GOLROKH KIANI SEPTEMBRE 2015 DEDICATION AND ACK OWLEDGEMENTS No research could be performed without the assistance and intellectual comrade ship of many individuals. -
Innate Pro–B-Cell Progenitors Protect Against Type 1 Diabetes By
Innate pro–B-cell progenitors protect against type 1 PNAS PLUS diabetes by regulating autoimmune effector T cells Ruddy Montandona,b,1, Sarantis Korniotisa,b,1, Esther Layseca-Espinosaa,b,2, Christophe Grasa,b, Jérôme Mégretc, Sophie Ezinea,d, Michel Dya,b, and Flora Zavalaa,b,3 aFaculté de Médecine Site Necker, Université Paris Descartes, bCentre National de la Recherche Scientifique Unité Mixte de Recherche 8147, 75015 Paris, France; cInstitut Fédératif de Recherche 94 Necker-Enfants Malades, 75015 Paris, France; and dInstitut National de la Santé et de la Recherche Médicale U1020, 75015 Paris, France Edited by Simon Fillatreau, Deutsches Rheuma-Forschungszentrum, Berlin, Germany, and accepted by the Editorial Board May 6, 2013 (received for review December 24, 2012) Diverse hematopoietic progenitors, including myeloid populations emergence of regulatory B cells (Bregs), along with acquired-type arising in inflammatory and tumoral conditions and multipotent stimulation, such as B-cell receptor (BCR) engagement concomi- cells, mobilized by hematopoietic growth factors or emerging during tant or not with CD40 activation (10, 11). Such induced regulatory parasitic infections, display tolerogenic properties. Innate immune B-cell functions are believed to be more robust than those ex- stimuli confer regulatory functions to various mature B-cell subsets pressed by naive and resting B cells, which can nevertheless tolerize but immature B-cell progenitors endowed with suppressive proper- naive T cells and induce regulatory T cells (Tregs) (12, 13). ties per se or after differentiating into more mature regulatory Bregs are a heterogeneous lymphocyte subset present among all B cells remain to be characterized. Herein we provide evidence for major B-cell populations (14–17). -
Conformational Disruption of Pi3kδ Regulation by Immunodeficiency Mutations in PIK3CD and PIK3R1
Conformational disruption of PI3Kδ regulation by immunodeficiency mutations in PIK3CD and PIK3R1 Gillian L. Dornana, Braden D. Siempelkampa, Meredith L. Jenkinsa, Oscar Vadasb, Carrie L. Lucasc, and John E. Burkea,1 aDepartment of Biochemistry and Microbiology, University of Victoria, Victoria, BC, Canada V8W 2Y2; bDepartment of Pharmaceutical Chemistry, University of Geneva, CH-1211 Geneva 4, Switzerland; and cDepartment of Immunobiology, Yale University, New Haven, CT 06511 Edited by Lewis C. Cantley, Weill Cornell Medical College, New York, NY, and approved January 12, 2017 (received for review November 2, 2016) Activated PI3K Delta Syndrome (APDS) is a primary immunodefi- domain, and a bilobal kinase domain. All p85 regulatory subunits ciency disease caused by activating mutations in either the contain two SH2 domains (nSH2 and cSH2) linked by a coiled-coil leukocyte-restricted p110δ catalytic (PIK3CD) subunit or the ubiq- region referred to as the inter-SH2 domain (iSH2). The class IA uitously expressed p85α regulatory (PIK3R1) subunit of class IA p110 catalytic subunits are differentially inhibited by p85, with phosphoinositide 3-kinases (PI3Ks). There are two classes of APDS: p110α containing inhibitory contacts between the nSH2 domain of α APDS1 that arises from p110δ mutations that are analogous to p85 and the C2, helical, and kinase domains of p110 , as well as α oncogenic mutations found in the broadly expressed p110α sub- between the iSH2 domain of p85 and the C2 domain of p110 (10). Both p110β and p110δ contain an additional regulatory unit and APDS2 that occurs from a splice mutation resulting in – p85α with a central deletion (Δ434–475). -
Propranolol-Mediated Attenuation of MMP-9 Excretion in Infants with Hemangiomas
Supplementary Online Content Thaivalappil S, Bauman N, Saieg A, Movius E, Brown KJ, Preciado D. Propranolol-mediated attenuation of MMP-9 excretion in infants with hemangiomas. JAMA Otolaryngol Head Neck Surg. doi:10.1001/jamaoto.2013.4773 eTable. List of All of the Proteins Identified by Proteomics This supplementary material has been provided by the authors to give readers additional information about their work. © 2013 American Medical Association. All rights reserved. Downloaded From: https://jamanetwork.com/ on 10/01/2021 eTable. List of All of the Proteins Identified by Proteomics Protein Name Prop 12 mo/4 Pred 12 mo/4 Δ Prop to Pred mo mo Myeloperoxidase OS=Homo sapiens GN=MPO 26.00 143.00 ‐117.00 Lactotransferrin OS=Homo sapiens GN=LTF 114.00 205.50 ‐91.50 Matrix metalloproteinase‐9 OS=Homo sapiens GN=MMP9 5.00 36.00 ‐31.00 Neutrophil elastase OS=Homo sapiens GN=ELANE 24.00 48.00 ‐24.00 Bleomycin hydrolase OS=Homo sapiens GN=BLMH 3.00 25.00 ‐22.00 CAP7_HUMAN Azurocidin OS=Homo sapiens GN=AZU1 PE=1 SV=3 4.00 26.00 ‐22.00 S10A8_HUMAN Protein S100‐A8 OS=Homo sapiens GN=S100A8 PE=1 14.67 30.50 ‐15.83 SV=1 IL1F9_HUMAN Interleukin‐1 family member 9 OS=Homo sapiens 1.00 15.00 ‐14.00 GN=IL1F9 PE=1 SV=1 MUC5B_HUMAN Mucin‐5B OS=Homo sapiens GN=MUC5B PE=1 SV=3 2.00 14.00 ‐12.00 MUC4_HUMAN Mucin‐4 OS=Homo sapiens GN=MUC4 PE=1 SV=3 1.00 12.00 ‐11.00 HRG_HUMAN Histidine‐rich glycoprotein OS=Homo sapiens GN=HRG 1.00 12.00 ‐11.00 PE=1 SV=1 TKT_HUMAN Transketolase OS=Homo sapiens GN=TKT PE=1 SV=3 17.00 28.00 ‐11.00 CATG_HUMAN Cathepsin G OS=Homo -
Dual Proteome-Scale Networks Reveal Cell-Specific Remodeling of the Human Interactome
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.19.905109; this version posted January 19, 2020. 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. Dual Proteome-scale Networks Reveal Cell-specific Remodeling of the Human Interactome Edward L. Huttlin1*, Raphael J. Bruckner1,3, Jose Navarrete-Perea1, Joe R. Cannon1,4, Kurt Baltier1,5, Fana Gebreab1, Melanie P. Gygi1, Alexandra Thornock1, Gabriela Zarraga1,6, Stanley Tam1,7, John Szpyt1, Alexandra Panov1, Hannah Parzen1,8, Sipei Fu1, Arvene Golbazi1, Eila Maenpaa1, Keegan Stricker1, Sanjukta Guha Thakurta1, Ramin Rad1, Joshua Pan2, David P. Nusinow1, Joao A. Paulo1, Devin K. Schweppe1, Laura Pontano Vaites1, J. Wade Harper1*, Steven P. Gygi1*# 1Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA. 2Broad Institute, Cambridge, MA, 02142, USA. 3Present address: ICCB-Longwood Screening Facility, Harvard Medical School, Boston, MA, 02115, USA. 4Present address: Merck, West Point, PA, 19486, USA. 5Present address: IQ Proteomics, Cambridge, MA, 02139, USA. 6Present address: Vor Biopharma, Cambridge, MA, 02142, USA. 7Present address: Rubius Therapeutics, Cambridge, MA, 02139, USA. 8Present address: RPS North America, South Kingstown, RI, 02879, USA. *Correspondence: [email protected] (E.L.H.), [email protected] (J.W.H.), [email protected] (S.P.G.) #Lead Contact: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.01.19.905109; this version posted January 19, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
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. -
2021 Undergraduate Research Symposium Program
FORDHAM COLLEGE AT ROSE HILL 14TH ANNUAL UNDERGRADUATE RESEARCH SYMPOSIUM Wednesday, May 5, 2021 AN INTERDISCIPLINARY CELEBRATION OF OUR STUDENTS AND MENTORS The Fourteenth Annual Fordham College at Rose Hill Undergraduate Research Symposium Program | Spring 2021 Welcome to the Fourteenth Annual FCRH Research Symposium, for the first time in a hybrid format! The accomplishments of our students and mentors during the pandemic have been extraordinary and we are overjoyed to celebrate them today. From our beautiful campus, to their homes throughout the country and beyond, our undergraduate research community was always open for new discoveries. We are delighted to share 120 abstracts from over 200 students who pursued their projects during such challenging times. Their work, dedication, and determination to be a part of today’s event is inspiring and what FCRH undergraduate research is all about. We are in this together to urge each other on and findings shared today may well change the world. We are also proud to announce that the 11th volume of the Fordham Undergraduate Research Journal has been published. The FURJ team took on an enormous undertaking of running their operation in hybrid format, with a record number of submissions, and as always, they have dazzled us with the quality of their efforts. Undergraduate research has become a part of who we are at FCRH. Because of this, our program, against all odds in the past year, continues to grow, expanding across disciplines and accessible to all students in a number of ways. Students are creating new knowledge in our labs, independently with the guidance of their mentors, as part of innovative class projects, and even to support their activism. -
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, -
Proteomic and Metabolomic Analyses of Mitochondrial Complex I-Deficient
THE JOURNAL OF BIOLOGICAL CHEMISTRY VOL. 287, NO. 24, pp. 20652–20663, June 8, 2012 © 2012 by The American Society for Biochemistry and Molecular Biology, Inc. Published in the U.S.A. Proteomic and Metabolomic Analyses of Mitochondrial Complex I-deficient Mouse Model Generated by Spontaneous B2 Short Interspersed Nuclear Element (SINE) Insertion into NADH Dehydrogenase (Ubiquinone) Fe-S Protein 4 (Ndufs4) Gene*□S Received for publication, November 25, 2011, and in revised form, April 5, 2012 Published, JBC Papers in Press, April 25, 2012, DOI 10.1074/jbc.M111.327601 Dillon W. Leong,a1 Jasper C. Komen,b1 Chelsee A. Hewitt,a Estelle Arnaud,c Matthew McKenzie,d Belinda Phipson,e Melanie Bahlo,e,f Adrienne Laskowski,b Sarah A. Kinkel,a,g,h Gayle M. Davey,g William R. Heath,g Anne K. Voss,a,h René P. Zahedi,i James J. Pitt,j Roman Chrast,c Albert Sickmann,i,k Michael T. Ryan,l Gordon K. Smyth,e,f,h b2 a,h,m,n3 David R. Thorburn, and Hamish S. Scott Downloaded from From the aMolecular Medicine Division, gImmunology Division, and eBioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria 3052, Australia, the bMurdoch Childrens Research Institute, Royal Children’s Hospital and Department of Paediatrics, University of Melbourne, Parkville, Victoria 3052, Australia, the cDépartement de Génétique Médicale, Université de Lausanne, 1005 Lausanne, Switzerland, the dCentre for Reproduction and Development, Monash Institute of Medical Research, Clayton, Victoria 3168, Australia, the hDepartment of Medical Biology -
CTNS Molecular Genetics Profile in a Persian Nephropathic Cystinosis Population
n e f r o l o g i a 2 0 1 7;3 7(3):301–310 Revista de la Sociedad Española de Nefrología www.revistanefrologia.com Original article CTNS molecular genetics profile in a Persian nephropathic cystinosis population a b a a Farideh Ghazi , Rozita Hosseini , Mansoureh Akouchekian , Shahram Teimourian , a b c,d a,b,c,d,∗ Zohreh Ataei Kachoei , Hassan Otukesh , William A. Gahl , Babak Behnam a Department of Medical Genetics and Molecular Biology, Faculty of Medicine, Iran University of Medical Sciences (IUMS), Tehran, Iran b Department of Pediatrics, Faculty of Medicine, Ali Asghar Children Hospital, Iran University of Medical Sciences (IUMS), Tehran, Iran c Section on Human Biochemical Genetics, Medical Genetics Branch, National Human Genome Research Institute, NIH, Bethesda, MD, USA d NIH Undiagnosed Diseases Program, Common Fund, Office of the Director, NIH, Bethesda, MD, USA a r t i c l e i n f o a b s t r a c t Article history: Purpose: In this report, we document the CTNS gene mutations of 28 Iranian patients with Received 26 May 2016 nephropathic cystinosis age 1–17 years. All presented initially with severe failure to thrive, Accepted 22 November 2016 polyuria, and polydipsia. Available online 24 February 2017 Methods: Cystinosis was primarily diagnosed by a pediatric nephrologist and then referred to the Iran University of Medical Sciences genetics clinic for consultation and molecular Keywords: analysis, which involved polymerase chain reaction (PCR) amplification to determine the Cystinosis presence or absence of the 57-kb founder deletion in CTNS, followed by direct sequencing CTNS of the coding exons of CTNS. -
Supplemental Material Placed on This Supplemental Material Which Has Been Supplied by the Author(S) J Med Genet
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) J Med Genet Supplement Supplementary Table S1: GENE MEAN GENE NAME OMIM SYMBOL COVERAGE CAKUT CAKUT ADTKD ADTKD aHUS/TMA aHUS/TMA TUBULOPATHIES TUBULOPATHIES Glomerulopathies Glomerulopathies Polycystic kidneys / Ciliopathies Ciliopathies / kidneys Polycystic METABOLIC DISORDERS AND OTHERS OTHERS AND DISORDERS METABOLIC x x ACE angiotensin-I converting enzyme 106180 139 x ACTN4 actinin-4 604638 119 x ADAMTS13 von Willebrand cleaving protease 604134 154 x ADCY10 adenylate cyclase 10 605205 81 x x AGT angiotensinogen 106150 157 x x AGTR1 angiotensin II receptor, type 1 106165 131 x AGXT alanine-glyoxylate aminotransferase 604285 173 x AHI1 Abelson helper integration site 1 608894 100 x ALG13 asparagine-linked glycosylation 13 300776 232 x x ALG9 alpha-1,2-mannosyltransferase 606941 165 centrosome and basal body associated x ALMS1 606844 132 protein 1 x x APOA1 apolipoprotein A-1 107680 55 x APOE lipoprotein glomerulopathy 107741 77 x APOL1 apolipoprotein L-1 603743 98 x x APRT adenine phosphoribosyltransferase 102600 165 x ARHGAP24 Rho GTPase-Activation protein 24 610586 215 x ARL13B ADP-ribosylation factor-like 13B 608922 195 x x ARL6 ADP-ribosylation factor-like 6 608845 215 ATPase, H+ transporting, lysosomal V0, x ATP6V0A4 605239 90 subunit a4 ATPase, H+ transporting, lysosomal x x ATP6V1B1 192132 163 56/58, V1, subunit B1 x ATXN10 ataxin -
Supplementary Table S2
1-high in cerebrotropic Gene P-value patients Definition BCHE 2.00E-04 1 Butyrylcholinesterase PLCB2 2.00E-04 -1 Phospholipase C, beta 2 SF3B1 2.00E-04 -1 Splicing factor 3b, subunit 1 BCHE 0.00022 1 Butyrylcholinesterase ZNF721 0.00028 -1 Zinc finger protein 721 GNAI1 0.00044 1 Guanine nucleotide binding protein (G protein), alpha inhibiting activity polypeptide 1 GNAI1 0.00049 1 Guanine nucleotide binding protein (G protein), alpha inhibiting activity polypeptide 1 PDE1B 0.00069 -1 Phosphodiesterase 1B, calmodulin-dependent MCOLN2 0.00085 -1 Mucolipin 2 PGCP 0.00116 1 Plasma glutamate carboxypeptidase TMX4 0.00116 1 Thioredoxin-related transmembrane protein 4 C10orf11 0.00142 1 Chromosome 10 open reading frame 11 TRIM14 0.00156 -1 Tripartite motif-containing 14 APOBEC3D 0.00173 -1 Apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3D ANXA6 0.00185 -1 Annexin A6 NOS3 0.00209 -1 Nitric oxide synthase 3 SELI 0.00209 -1 Selenoprotein I NYNRIN 0.0023 -1 NYN domain and retroviral integrase containing ANKFY1 0.00253 -1 Ankyrin repeat and FYVE domain containing 1 APOBEC3F 0.00278 -1 Apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3F EBI2 0.00278 -1 Epstein-Barr virus induced gene 2 ETHE1 0.00278 1 Ethylmalonic encephalopathy 1 PDE7A 0.00278 -1 Phosphodiesterase 7A HLA-DOA 0.00305 -1 Major histocompatibility complex, class II, DO alpha SOX13 0.00305 1 SRY (sex determining region Y)-box 13 ABHD2 3.34E-03 1 Abhydrolase domain containing 2 MOCS2 0.00334 1 Molybdenum cofactor synthesis 2 TTLL6 0.00365 -1 Tubulin tyrosine ligase-like family, member 6 SHANK3 0.00394 -1 SH3 and multiple ankyrin repeat domains 3 ADCY4 0.004 -1 Adenylate cyclase 4 CD3D 0.004 -1 CD3d molecule, delta (CD3-TCR complex) (CD3D), transcript variant 1, mRNA.