UC Irvine Electronic Theses and Dissertations
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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. -
CSE642 Final Version
Eindhoven University of Technology MASTER Dimensionality reduction of gene expression data Arts, S. Award date: 2018 Link to publication Disclaimer This document contains a student thesis (bachelor's or master's), as authored by a student at Eindhoven University of Technology. Student theses are made available in the TU/e repository upon obtaining the required degree. The grade received is not published on the document as presented in the repository. The required complexity or quality of research of student theses may vary by program, and the required minimum study period may vary in duration. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain Eindhoven University of Technology MASTER THESIS Dimensionality Reduction of Gene Expression Data Author: S. (Sako) Arts Daily Supervisor: dr. V. (Vlado) Menkovski Graduation Committee: dr. V. (Vlado) Menkovski dr. D.C. (Decebal) Mocanu dr. N. (Nikolay) Yakovets May 16, 2018 v1.0 Abstract The focus of this thesis is dimensionality reduction of gene expression data. I propose and test a framework that deploys linear prediction algorithms resulting in a reduced set of selected genes relevant to a specified case. Abstract In cancer research there is a large need to automate parts of the process of diagnosis, this is mainly to reduce cost, make it faster and more accurate. -
The Genetics of Bipolar Disorder
Molecular Psychiatry (2008) 13, 742–771 & 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00 www.nature.com/mp FEATURE REVIEW The genetics of bipolar disorder: genome ‘hot regions,’ genes, new potential candidates and future directions A Serretti and L Mandelli Institute of Psychiatry, University of Bologna, Bologna, Italy Bipolar disorder (BP) is a complex disorder caused by a number of liability genes interacting with the environment. In recent years, a large number of linkage and association studies have been conducted producing an extremely large number of findings often not replicated or partially replicated. Further, results from linkage and association studies are not always easily comparable. Unfortunately, at present a comprehensive coverage of available evidence is still lacking. In the present paper, we summarized results obtained from both linkage and association studies in BP. Further, we indicated new potential interesting genes, located in genome ‘hot regions’ for BP and being expressed in the brain. We reviewed published studies on the subject till December 2007. We precisely localized regions where positive linkage has been found, by the NCBI Map viewer (http://www.ncbi.nlm.nih.gov/mapview/); further, we identified genes located in interesting areas and expressed in the brain, by the Entrez gene, Unigene databases (http://www.ncbi.nlm.nih.gov/entrez/) and Human Protein Reference Database (http://www.hprd.org); these genes could be of interest in future investigations. The review of association studies gave interesting results, as a number of genes seem to be definitively involved in BP, such as SLC6A4, TPH2, DRD4, SLC6A3, DAOA, DTNBP1, NRG1, DISC1 and BDNF. -
The Genetic Architecture of Down Syndrome Phenotypes Revealed by High-Resolution Analysis of Human Segmental Trisomies
The genetic architecture of Down syndrome phenotypes revealed by high-resolution analysis of human segmental trisomies Jan O. Korbela,b,c,1, Tal Tirosh-Wagnerd,1, Alexander Eckehart Urbane,f,1, Xiao-Ning Chend, Maya Kasowskie, Li Daid, Fabian Grubertf, Chandra Erdmang, Michael C. Gaod, Ken Langeh,i, Eric M. Sobelh, Gillian M. Barlowd, Arthur S. Aylsworthj,k, Nancy J. Carpenterl, Robin Dawn Clarkm, Monika Y. Cohenn, Eric Dorano, Tzipora Falik-Zaccaip, Susan O. Lewinq, Ira T. Lotto, Barbara C. McGillivrayr, John B. Moeschlers, Mark J. Pettenatit, Siegfried M. Pueschelu, Kathleen W. Raoj,k,v, Lisa G. Shafferw, Mordechai Shohatx, Alexander J. Van Ripery, Dorothy Warburtonz,aa, Sherman Weissmanf, Mark B. Gersteina, Michael Snydera,e,2, and Julie R. Korenbergd,h,bb,2 Departments of aMolecular Biophysics and Biochemistry, eMolecular, Cellular, and Developmental Biology, and fGenetics, Yale University School of Medicine, New Haven, CT 06520; bEuropean Molecular Biology Laboratory, 69117 Heidelberg, Germany; cEuropean Molecular Biology Laboratory (EMBL) Outstation Hinxton, EMBL-European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, United Kingdom; dMedical Genetics Institute, Cedars–Sinai Medical Center, Los Angeles, CA 90048; gDepartment of Statistics, Yale University, New Haven, CT 06520; Departments of hHuman Genetics, and iBiomathematics, University of California, Los Angeles, CA 90095; Departments of jPediatrics and kGenetics, University of North Carolina, Chapel Hill, NC 27599; lCenter for Genetic Testing, -
WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (10) International Publication Number (43) International Publication Date WO 2012/174282 A2 20 December 2012 (20.12.2012) P O P C T (51) International Patent Classification: David [US/US]; 13539 N . 95th Way, Scottsdale, AZ C12Q 1/68 (2006.01) 85260 (US). (21) International Application Number: (74) Agent: AKHAVAN, Ramin; Caris Science, Inc., 6655 N . PCT/US20 12/0425 19 Macarthur Blvd., Irving, TX 75039 (US). (22) International Filing Date: (81) Designated States (unless otherwise indicated, for every 14 June 2012 (14.06.2012) kind of national protection available): AE, AG, AL, AM, AO, AT, AU, AZ, BA, BB, BG, BH, BR, BW, BY, BZ, English (25) Filing Language: CA, CH, CL, CN, CO, CR, CU, CZ, DE, DK, DM, DO, Publication Language: English DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, JP, KE, KG, KM, KN, KP, KR, (30) Priority Data: KZ, LA, LC, LK, LR, LS, LT, LU, LY, MA, MD, ME, 61/497,895 16 June 201 1 (16.06.201 1) US MG, MK, MN, MW, MX, MY, MZ, NA, NG, NI, NO, NZ, 61/499,138 20 June 201 1 (20.06.201 1) US OM, PE, PG, PH, PL, PT, QA, RO, RS, RU, RW, SC, SD, 61/501,680 27 June 201 1 (27.06.201 1) u s SE, SG, SK, SL, SM, ST, SV, SY, TH, TJ, TM, TN, TR, 61/506,019 8 July 201 1(08.07.201 1) u s TT, TZ, UA, UG, US, UZ, VC, VN, ZA, ZM, ZW. -
Chromosome 21 Leading Edge Gene Set
Chromosome 21 Leading Edge Gene Set Genes from chr21q22 that are part of the GSEA leading edge set identifying differences between trisomic and euploid samples. Multiple probe set IDs corresponding to a single gene symbol are combined as part of the GSEA analysis. Gene Symbol Probe Set IDs Gene Title 203865_s_at, 207999_s_at, 209979_at, adenosine deaminase, RNA-specific, B1 ADARB1 234539_at, 234799_at (RED1 homolog rat) UDP-Gal:betaGlcNAc beta 1,3- B3GALT5 206947_at galactosyltransferase, polypeptide 5 BACE2 217867_x_at, 222446_s_at beta-site APP-cleaving enzyme 2 1553227_s_at, 214820_at, 219280_at, 225446_at, 231860_at, 231960_at, bromodomain and WD repeat domain BRWD1 244622_at containing 1 C21orf121 240809_at chromosome 21 open reading frame 121 C21orf130 240068_at chromosome 21 open reading frame 130 C21orf22 1560881_a_at chromosome 21 open reading frame 22 C21orf29 1552570_at, 1555048_at_at, 1555049_at chromosome 21 open reading frame 29 C21orf33 202217_at, 210667_s_at chromosome 21 open reading frame 33 C21orf45 219004_s_at, 228597_at, 229671_s_at chromosome 21 open reading frame 45 C21orf51 1554430_at, 1554432_x_at, 228239_at chromosome 21 open reading frame 51 C21orf56 223360_at chromosome 21 open reading frame 56 C21orf59 218123_at, 244369_at chromosome 21 open reading frame 59 C21orf66 1555125_at, 218515_at, 221158_at chromosome 21 open reading frame 66 C21orf7 221211_s_at chromosome 21 open reading frame 7 C21orf77 220826_at chromosome 21 open reading frame 77 C21orf84 239968_at, 240589_at chromosome 21 open reading frame 84 -
Orphanet Journal of Rare Diseases Biomed Central
Orphanet Journal of Rare Diseases BioMed Central Review Open Access Holoprosencephaly Christèle Dubourg*1,2, Claude Bendavid1,2, Laurent Pasquier3, Catherine Henry4, Sylvie Odent3 and Véronique David*1,2 Address: 1UMR 6061 CNRS, Institut de Génétique et Développement de Rennes, Université de Rennes1, IFR 140 GFAS, Faculté de Médecine, Rennes, 35000, France, 2Laboratoire de Génétique Moléculaire et Hormonologie, Centre Hospitalier et Universitaire de Pontchaillou, Rennes, 35000, France, 3Service de Génétique Médicale, Hôpital Sud, Rennes, 35000, France and 4Laboratoire de Cytogénétique, Centre Hospitalier et Universitaire de Pontchaillou, Rennes, 35000, France Email: Christèle Dubourg* - [email protected]; Claude Bendavid - [email protected]; Laurent Pasquier - [email protected]; Catherine Henry - [email protected]; Sylvie Odent - sylvie.odent@chu- rennes.fr; Véronique David* - [email protected] * Corresponding authors Published: 2 February 2007 Received: 1 September 2006 Accepted: 2 February 2007 Orphanet Journal of Rare Diseases 2007, 2:8 doi:10.1186/1750-1172-2-8 This article is available from: http://www.OJRD.com/content/2/1/8 © 2007 Dubourg et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract Holoprosencephaly (HPE) is a complex brain malformation resulting from incomplete cleavage of the prosencephalon, occurring between the 18th and the 28th day of gestation and affecting both the forebrain and the face. It is estimated to occur in 1/16,000 live births and 1/250 conceptuses. -
Down Syndrome Congenital Heart Disease: a Narrowed Region and a Candidate Gene Gillian M
March/April 2001 ⅐ Vol. 3 ⅐ No. 2 article Down syndrome congenital heart disease: A narrowed region and a candidate gene Gillian M. Barlow, PhD1, Xiao-Ning Chen, MD1, Zheng Y. Shi, BS1, Gary E. Lyons, PhD2, David M. Kurnit, MD, PhD3, Livija Celle, MS4, Nancy B. Spinner, PhD4, Elaine Zackai, MD4, Mark J. Pettenati, PhD5, Alexander J. Van Riper, MS6, Michael J. Vekemans, MD7, Corey H. Mjaatvedt, PhD8, and Julie R. Korenberg, PhD, MD1 Purpose: Down syndrome (DS) is a major cause of congenital heart disease (CHD) and the most frequent known cause of atrioventricular septal defects (AVSDs). Molecular studies of rare individuals with CHD and partial duplications of chromosome 21 established a candidate region that included D21S55 through the telomere. We now report human molecular and cardiac data that narrow the DS-CHD region, excluding two candidate regions, and propose DSCAM (Down syndrome cell adhesion molecule) as a candidate gene. Methods: A panel of 19 individuals with partial trisomy 21 was evaluated using quantitative Southern blot dosage analysis and fluorescence in situ hybridization (FISH) with subsets of 32 BACs spanning the region defined by D21S16 (21q11.2) through the telomere. These BACs span the molecular markers D21S55, ERG, ETS2, MX1/2, collagen XVIII and collagen VI A1/A2. Fourteen individuals are duplicated for the candidate region, of whom eight (57%) have the characteristic spectrum of DS-CHD. Results: Combining the results from these eight individuals suggests the candidate region for DS-CHD is demarcated by D21S3 (defined by ventricular septal defect), through PFKL (defined by tetralogy of Fallot). Conclusions: These data suggest that the presence of three copies of gene(s) from the region is sufficient for the production of subsets of DS-CHD. -
Supplementary Tables S1-S3
Supplementary Table S1: Real time RT-PCR primers COX-2 Forward 5’- CCACTTCAAGGGAGTCTGGA -3’ Reverse 5’- AAGGGCCCTGGTGTAGTAGG -3’ Wnt5a Forward 5’- TGAATAACCCTGTTCAGATGTCA -3’ Reverse 5’- TGTACTGCATGTGGTCCTGA -3’ Spp1 Forward 5'- GACCCATCTCAGAAGCAGAA -3' Reverse 5'- TTCGTCAGATTCATCCGAGT -3' CUGBP2 Forward 5’- ATGCAACAGCTCAACACTGC -3’ Reverse 5’- CAGCGTTGCCAGATTCTGTA -3’ Supplementary Table S2: Genes synergistically regulated by oncogenic Ras and TGF-β AU-rich probe_id Gene Name Gene Symbol element Fold change RasV12 + TGF-β RasV12 TGF-β 1368519_at serine (or cysteine) peptidase inhibitor, clade E, member 1 Serpine1 ARE 42.22 5.53 75.28 1373000_at sushi-repeat-containing protein, X-linked 2 (predicted) Srpx2 19.24 25.59 73.63 1383486_at Transcribed locus --- ARE 5.93 27.94 52.85 1367581_a_at secreted phosphoprotein 1 Spp1 2.46 19.28 49.76 1368359_a_at VGF nerve growth factor inducible Vgf 3.11 4.61 48.10 1392618_at Transcribed locus --- ARE 3.48 24.30 45.76 1398302_at prolactin-like protein F Prlpf ARE 1.39 3.29 45.23 1392264_s_at serine (or cysteine) peptidase inhibitor, clade E, member 1 Serpine1 ARE 24.92 3.67 40.09 1391022_at laminin, beta 3 Lamb3 2.13 3.31 38.15 1384605_at Transcribed locus --- 2.94 14.57 37.91 1367973_at chemokine (C-C motif) ligand 2 Ccl2 ARE 5.47 17.28 37.90 1369249_at progressive ankylosis homolog (mouse) Ank ARE 3.12 8.33 33.58 1398479_at ryanodine receptor 3 Ryr3 ARE 1.42 9.28 29.65 1371194_at tumor necrosis factor alpha induced protein 6 Tnfaip6 ARE 2.95 7.90 29.24 1386344_at Progressive ankylosis homolog (mouse) -
Low Replicative Stress Triggers Cell-Type Specific Inheritable
International Journal of Molecular Sciences Article Low Replicative Stress Triggers Cell-Type Specific Inheritable Advanced Replication Timing Lilas Courtot 1 , Elodie Bournique 1,†, Chrystelle Maric 2,† , Laure Guitton-Sert 1, Miguel Madrid-Mencía 1 , Vera Pancaldi 1,3 , Jean-Charles Cadoret 2,* , Jean-Sébastien Hoffmann 4,* and Valérie Bergoglio 1,* 1 Centre de Recherches en Cancérologie de Toulouse (CRCT), UMR1037 Inserm, University Paul Sabatier III, ERL5294 CNRS, 2 Avenue Hubert Curien, 31037 Toulouse, France; [email protected] (L.C.); [email protected] (E.B.); [email protected] (L.G.-S.); [email protected] (M.M.-M.); [email protected] (V.P.) 2 Université de Paris, CNRS, Institut Jacques Monod, DNA Replication Pathologies Team, F-75006 Paris, France; [email protected] 3 Barcelona Supercomputing Center, 08034 Barcelona, Spain 4 Laboratoire de pathologie, Laboratoire d’excellence Toulouse Cancer, Institut Universitaire du Cancer-Toulouse, Oncopole, 1 Avenue Irène-Joliot-Curie, CEDEX, 31059 Toulouse, France * Correspondence: [email protected] (J.-C.C.); [email protected] (J.-S.H.); [email protected] (V.B.) † These authors contributed equally to this work. Abstract: DNA replication timing (RT), reflecting the temporal order of origin activation, is known as a robust and conserved cell-type specific process. Upon low replication stress, the slowing of replication forks induces well-documented RT delays associated to genetic instability, but it can Citation: Courtot, L.; Bournique, E.; also generate RT advances that are still uncharacterized. In order to characterize these advanced Maric, C.; Guitton-Sert, L.; initiation events, we monitored the whole genome RT from six independent human cell lines treated Madrid-Mencía, M.; Pancaldi, V.; Cadoret, J.-C.; Hoffmann, J.-S.; with low doses of aphidicolin. -
Analysis Identifies Signature Genes That Distinguish Microglia From
Haage et al. Acta Neuropathologica Communications (2019) 7:20 https://doi.org/10.1186/s40478-019-0665-y RESEARCH Open Access Comprehensive gene expression meta- analysis identifies signature genes that distinguish microglia from peripheral monocytes/macrophages in health and glioma Verena Haage1†, Marcus Semtner1†, Ramon Oliveira Vidal1†, Daniel Perez Hernandez1, Winnie W. Pong2, Zhihong Chen3, Dolores Hambardzumyan3, Vincent Magrini4, Amy Ly4, Jason Walker4, Elaine Mardis4, Philipp Mertins1, Sascha Sauer1†, Helmut Kettenmann1† and David H. Gutmann1,2*† Abstract Monocytes/macrophages have begun to emerge as key cellular modulators of brain homeostasis and central nervous system (CNS) disease. In the healthy brain, resident microglia are the predominant macrophage cell population; however, under conditions of blood-brain barrier leakage, peripheral monocytes/macrophages can infiltrate the brain and participate in CNS disease pathogenesis. Distinguishing these two populations is often challenging, owing to a paucity of universally accepted and reliable markers. To identify discriminatory marker sets for microglia and peripheral monocytes/macrophages, we employed a large meta-analytic approach using five published murine transcriptional datasets. Following hierarchical clustering, we filtered the top differentially expressed genes (DEGs) through a brain cell type-specific sequencing database, which led to the identification of eight microglia and eight peripheral monocyte/macrophage markers. We then validated their differential expression, leveraging a published single cell RNA sequencing dataset and quantitative RT-PCR using freshly isolated microglia and peripheral monocytes/macrophages from two different mouse strains. We further verified the translation of these DEGs at the protein level. As top microglia DEGs, we identified P2ry12, Tmem119, Slc2a5 and Fcrls, whereas Emilin2, Gda, Hp and Sell emerged as the best DEGs for identifying peripheral monocytes/ macrophages. -
Caractérisation De Nouveaux Gènes Et Polymorphismes Potentiellement Impliqués Dans Les Interactions Hôtes-Pathogènes
Aix-Marseille Université, Faculté de Médecine de Marseille Ecole Doctorale des Sciences de la Vie et de la Santé THÈSE DE DOCTORAT Présentée par Charbel ABOU-KHATER Date et lieu de naissance: 08-Juilllet-1990, Zahlé, LIBAN En vue de l’obtention du grade de Docteur de l’Université d’Aix-Marseille Mention: Biologie, Spécialité: Microbiologie Caractérisation de nouveaux gènes et polymorphismes potentiellement impliqués dans les interactions hôtes-pathogènes Publiquement soutenue le 5 Juillet 2017 devant le jury composé de : Pr. Daniel OLIVE Directeur de Thèse Pr. Brigitte CROUAU-ROY Rapporteur Dr. Benoît FAVIER Rapporteur Dr. Pierre PONTAROTTI Examinateur Thèse codirigée par Pr. Daniel OLIVE et Dr Laurent ABI-RACHED Laboratoires d’accueil URMITE Research Unit on Emerging Infectious and Tropical Diseases, UMR 6236, Faculty of Medicine, 27, Boulevard Jean Moulin, 13385 Marseille, France CRCM, Centre de Recherche en Cancérologie de Marseille,Inserm 1068, 27 Boulevard Leï Roure, BP 30059, 13273 Marseille Cedex 09, France 2 Acknowledgements First and foremost, praises and thanks to God, Holy Mighty, Holy Immortal, All-Holy Trinity, for His showers of blessings throughout my whole life and to whom I owe my very existence. Glory to the Father, and to the Son, and to the Holy Spirit: now and ever and unto ages of ages. I would like to express my sincere gratitude to my advisors Prof. Daniel Olive and Dr. Laurent Abi-Rached, for the continuous support, for their patience, motivation, and immense knowledge. Someday, I hope to be just like you. A special thanks to my “Godfather” who perfectly fulfilled his role, Dr.