Multi-Omics Study of Chronic Obstructive Pulmonary Disease and Related Disorders
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Plasma Based Protein Signatures Associated with Small Cell Lung Cancer
cancers Article Plasma Based Protein Signatures Associated with Small Cell Lung Cancer Johannes F. Fahrmann 1,†, Hiroyuki Katayama 1,† , Ehsan Irajizad 1,†, Ashish Chakraborty 1 , Taketo Kato 1 , Xiangying Mao 1 , Soyoung Park 1, Eunice Murage 1, Leona Rusling 1, Chuan-Yih Yu 1, Yinging Cai 1, Fu Chung Hsiao 1, Jennifer B. Dennison 1, Hai Tran 2, Edwin Ostrin 3 , David O. Wilson 4, Jian-Min Yuan 5,6, Jody Vykoukal 1 and Samir Hanash 1,* 1 Department of Clinical Cancer Prevention, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA; [email protected] (J.F.F.); [email protected] (H.K.); [email protected] (E.I.); [email protected] (A.C.); [email protected] (T.K.); [email protected] (X.M.); [email protected] (S.P.); [email protected] (E.M.); [email protected] (L.R.); [email protected] (C.-Y.Y.); [email protected] (Y.C.); [email protected] (F.C.H.); [email protected] (J.B.D.); [email protected] (J.V.) 2 Department of Thoracic-Head & Neck Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA; [email protected] 3 Department of Pulmonary Medicine, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA; [email protected] 4 Division of Pulmonary, Allergy and Critical Care Medicine, School of Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA; [email protected] 5 Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA 15232, USA; [email protected] 6 Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA 15261, USA Citation: Fahrmann, J.F.; Katayama, * Correspondence: [email protected] † These authors contributed equally to this work. -
BIOINFORMATICS DOI: 10.1093/Bioinformatics/Btg1030
Vol. 19 Suppl. 1 2003, pages i222–i224 BIOINFORMATICS DOI: 10.1093/bioinformatics/btg1030 GeneLoc: exon-based integration of human genome maps Naomi Rosen, Vered Chalifa-Caspi, Orit Shmueli, Avital Adato, Michal Lapidot, Julie Stampnitzky, Marilyn Safran ∗ and Doron Lancet Weizmann Institute of Science, Rehovot, Israel Received on January 6, 2003; accepted on February 20, 2003 ABSTRACT to provide a comprehensive gene list, NCBI’s LocusLink Motivation: Despite the numerous available whole- contains thousands of model genes, categorized by level genome mapping resources, no comprehensive, inte- and type of support. Even known genes appearing in every grated map of the human genome yet exists. database may have different names in each database. The Results: GeneLoc, software adjunct to GeneCards and biologist must move among databases to figure out which UDB, integrates gene lists by comparing genomic coordi- genes are the same, and which could be a novel gene nates at the exon level and assigns unique and meaningful sought. UCSC’s Genome Browser website maps genes identifiers to each gene. from several sources on the same scale, but the maps are Availability: http://bioinfo.weizmann.ac.il/genecards and not integrated, making it difficult to relate genes from http://genecards.weizmann.ac.il/udb different sources. As stated (Jongeneel, 2000),‘there is an Supplementary information: http://bioinfo.weizmann.ac. urgent need for a human gene index that can be used to il/cards-bin/AboutGCids.cgi, http://genecards.weizmann. identify transcripts unambiguously.’ The author contends ac.il/GeneLocAlg.html that this index should have, among others, the following Contact: [email protected] qualities: comprehensiveness, uniqueness, and stability. -
Isyte: Integrated Systems Tool for Eye Gene Discovery
Lens iSyTE: Integrated Systems Tool for Eye Gene Discovery Salil A. Lachke,1,2,3,4 Joshua W. K. Ho,1,4,5 Gregory V. Kryukov,1,4,6 Daniel J. O’Connell,1 Anton Aboukhalil,1,7 Martha L. Bulyk,1,8,9 Peter J. Park,1,5,10 and Richard L. Maas1 PURPOSE. To facilitate the identification of genes associated ther investigation. Extension of this approach to other ocular with cataract and other ocular defects, the authors developed tissue components will facilitate eye disease gene discovery. and validated a computational tool termed iSyTE (integrated (Invest Ophthalmol Vis Sci. 2012;53:1617–1627) DOI: Systems Tool for Eye gene discovery; http://bioinformatics. 10.1167/iovs.11-8839 udel.edu/Research/iSyTE). iSyTE uses a mouse embryonic lens gene expression data set as a bioinformatics filter to select candidate genes from human or mouse genomic regions impli- ven with the advent of high-throughput sequencing, the cated in disease and to prioritize them for further mutational Ediscovery of genes associated with congenital birth defects and functional analyses. such as eye defects remains a challenge. We sought to develop METHODS. Microarray gene expression profiles were obtained a straightforward experimental approach that could facilitate for microdissected embryonic mouse lens at three key devel- the identification of candidate genes for developmental disor- opmental time points in the transition from the embryonic day ders, and, as proof-of-principle, we chose defects involving the (E)10.5 stage of lens placode invagination to E12.5 lens primary ocular lens. Opacification of the lens results in cataract, a leading cause of blindness that affects 77 million persons and fiber cell differentiation. -
Simultaneous Genome-Wide Association Studies of Anti-Cyclic Citrullinated Peptide in Rheumatoid Arthritis Using Penalized Orthogonal-Components Regression
BMC Proceedings BioMed Central Proceedings Open Access Simultaneous genome-wide association studies of anti-cyclic citrullinated peptide in rheumatoid arthritis using penalized orthogonal-components regression Yanzhu Lin1,MinZhang1,LiboWang1, Vitara Pungpapong1, James C Fleet2 and Dabao Zhang*1 Addresses: 1Department of Statistics, Purdue University, West Lafayette, Indiana 47907, USA and 2Department of Foods and Nutrition, Purdue University, West Lafayette, Indiana 47907, USA E-mail: Yanzhu Lin - [email protected]; Min Zhang - [email protected]; Libo Wang - [email protected]; Vitara Pungpapong - [email protected]; James C Fleet - [email protected]; Dabao Zhang* - [email protected] *Corresponding author from Genetic Analysis Workshop 16 St Louis, MO, USA 17-20 September 2009 Published: 15 December 2009 BMC Proceedings 2009, 3(Suppl 7):S20 doi: 10.1186/1753-6561-3-S7-S20 This article is available from: http://www.biomedcentral.com/1753-6561/3/S7/S20 © 2009 Lin 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 Genome-wide associations between single-nucleotide polymorphisms and clinical traits were simultaneously conducted using penalized orthogonal-components regression. This method was developed to identify the genetic variants controlling phenotypes from a massive number of candidate variants. By investigating the association between all single-nucleotide polymorphisms to the phenotype of antibodies against cyclic citrullinated peptide using the rheumatoid arthritis data provided by Genetic Analysis Workshop 16, we identified genetic regions which may contribute to the pathogenesis of rheumatoid arthritis. -
Environmental Influences on Endothelial Gene Expression
ENDOTHELIAL CELL GENE EXPRESSION John Matthew Jeff Herbert Supervisors: Prof. Roy Bicknell and Dr. Victoria Heath PhD thesis University of Birmingham August 2012 University of Birmingham Research Archive e-theses repository This unpublished thesis/dissertation is copyright of the author and/or third parties. The intellectual property rights of the author or third parties in respect of this work are as defined by The Copyright Designs and Patents Act 1988 or as modified by any successor legislation. Any use made of information contained in this thesis/dissertation must be in accordance with that legislation and must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the permission of the copyright holder. ABSTRACT Tumour angiogenesis is a vital process in the pathology of tumour development and metastasis. Targeting markers of tumour endothelium provide a means of targeted destruction of a tumours oxygen and nutrient supply via destruction of tumour vasculature, which in turn ultimately leads to beneficial consequences to patients. Although current anti -angiogenic and vascular targeting strategies help patients, more potently in combination with chemo therapy, there is still a need for more tumour endothelial marker discoveries as current treatments have cardiovascular and other side effects. For the first time, the analyses of in-vivo biotinylation of an embryonic system is performed to obtain putative vascular targets. Also for the first time, deep sequencing is applied to freshly isolated tumour and normal endothelial cells from lung, colon and bladder tissues for the identification of pan-vascular-targets. Integration of the proteomic, deep sequencing, public cDNA libraries and microarrays, delivers 5,892 putative vascular targets to the science community. -
CD56+ T-Cells in Relation to Cytomegalovirus in Healthy Subjects and Kidney Transplant Patients
CD56+ T-cells in Relation to Cytomegalovirus in Healthy Subjects and Kidney Transplant Patients Institute of Infection and Global Health Department of Clinical Infection, Microbiology and Immunology Thesis submitted in accordance with the requirements of the University of Liverpool for the degree of Doctor in Philosophy by Mazen Mohammed Almehmadi December 2014 - 1 - Abstract Human T cells expressing CD56 are capable of tumour cell lysis following activation with interleukin-2 but their role in viral immunity has been less well studied. The work described in this thesis aimed to investigate CD56+ T-cells in relation to cytomegalovirus infection in healthy subjects and kidney transplant patients (KTPs). Proportions of CD56+ T cells were found to be highly significantly increased in healthy cytomegalovirus-seropositive (CMV+) compared to cytomegalovirus-seronegative (CMV-) subjects (8.38% ± 0.33 versus 3.29%± 0.33; P < 0.0001). In donor CMV-/recipient CMV- (D-/R-)- KTPs levels of CD56+ T cells were 1.9% ±0.35 versus 5.42% ±1.01 in D+/R- patients and 5.11% ±0.69 in R+ patients (P 0.0247 and < 0.0001 respectively). CD56+ T cells in both healthy CMV+ subjects and KTPs expressed markers of effector memory- RA T-cells (TEMRA) while in healthy CMV- subjects and D-/R- KTPs the phenotype was predominantly that of naïve T-cells. Other surface markers, CD8, CD4, CD58, CD57, CD94 and NKG2C were expressed by a significantly higher proportion of CD56+ T-cells in healthy CMV+ than CMV- subjects. Functional studies showed levels of pro-inflammatory cytokines IFN-γ and TNF-α, as well as granzyme B and CD107a were significantly higher in CD56+ T-cells from CMV+ than CMV- subjects following stimulation with CMV antigens. -
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. -
Genome Analysis and Knowledge
Dahary et al. BMC Medical Genomics (2019) 12:200 https://doi.org/10.1186/s12920-019-0647-8 SOFTWARE Open Access Genome analysis and knowledge-driven variant interpretation with TGex Dvir Dahary1*, Yaron Golan1, Yaron Mazor1, Ofer Zelig1, Ruth Barshir2, Michal Twik2, Tsippi Iny Stein2, Guy Rosner3,4, Revital Kariv3,4, Fei Chen5, Qiang Zhang5, Yiping Shen5,6,7, Marilyn Safran2, Doron Lancet2* and Simon Fishilevich2* Abstract Background: The clinical genetics revolution ushers in great opportunities, accompanied by significant challenges. The fundamental mission in clinical genetics is to analyze genomes, and to identify the most relevant genetic variations underlying a patient’s phenotypes and symptoms. The adoption of Whole Genome Sequencing requires novel capacities for interpretation of non-coding variants. Results: We present TGex, the Translational Genomics expert, a novel genome variation analysis and interpretation platform, with remarkable exome analysis capacities and a pioneering approach of non-coding variants interpretation. TGex’s main strength is combining state-of-the-art variant filtering with knowledge-driven analysis made possible by VarElect, our highly effective gene-phenotype interpretation tool. VarElect leverages the widely used GeneCards knowledgebase, which integrates information from > 150 automatically-mined data sources. Access to such a comprehensive data compendium also facilitates TGex’s broad variant annotation, supporting evidence exploration, and decision making. TGex has an interactive, user-friendly, and easy adaptive interface, ACMG compliance, and an automated reporting system. Beyond comprehensive whole exome sequence capabilities, TGex encompasses innovative non-coding variants interpretation, towards the goal of maximal exploitation of whole genome sequence analyses in the clinical genetics practice. This is enabled by GeneCards’ recently developed GeneHancer, a novel integrative and fully annotated database of human enhancers and promoters. -
An Interaction Map of Circulating Metabolites, Immune Gene Networks, and Their Genetic Regulation Artika P
Nath et al. Genome Biology (2017) 18:146 DOI 10.1186/s13059-017-1279-y RESEARCH Open Access An interaction map of circulating metabolites, immune gene networks, and their genetic regulation Artika P. Nath1,2, Scott C. Ritchie2,3, Sean G. Byars3,4, Liam G. Fearnley3,4, Aki S. Havulinna5,6, Anni Joensuu5, Antti J. Kangas7, Pasi Soininen7,8, Annika Wennerström5, Lili Milani9, Andres Metspalu9, Satu Männistö5, Peter Würtz7,10, Johannes Kettunen5,7,8,11, Emma Raitoharju12, Mika Kähönen13, Markus Juonala14,15, Aarno Palotie6,16,17,18, Mika Ala-Korpela7,8,11,19,20, Samuli Ripatti6,21, Terho Lehtimäki12, Gad Abraham2,3,4, Olli Raitakari22,23, Veikko Salomaa5, Markus Perola5,6,9 and Michael Inouye1,2,3,4* Abstract Background: Immunometabolism plays a central role in many cardiometabolic diseases. However, a robust map of immune-related gene networks in circulating human cells, their interactions with metabolites, and their genetic control is still lacking. Here, we integrate blood transcriptomic, metabolomic, and genomic profiles from two population-based cohorts (total N = 2168), including a subset of individuals with matched multi-omic data at 7-year follow-up. Results: We identify topologically replicable gene networks enrichedfordiverseimmunefunctions including cytotoxicity, viral response, B cell, platelet, neutrophil, and mast cell/basophil activity. These immune gene modules show complex patterns of association with 158 circulating metabolites, including lipoprotein subclasses, lipids, fatty acids, amino acids, small molecules, and CRP. Genome-wide scans for module expression quantitative trait loci (mQTLs) reveal five modules with mQTLs that have both cis and trans effects. The strongest mQTL is in ARHGEF3 (rs1354034) and affects a module enriched for platelet function, independent of platelet counts. -
Transcriptional Regulation Differs in Affected Facioscapulohumeral Muscular Dystrophy Patients Compared to Asymptomatic Related Carriers
University of Massachusetts Medical School eScholarship@UMMS Wellstone Center for FSHD Publications Wellstone Center for FSHD 2009-04-14 Transcriptional regulation differs in affected facioscapulohumeral muscular dystrophy patients compared to asymptomatic related carriers Patricia Arashiro University of Sao Paulo Et al. Let us know how access to this document benefits ou.y Follow this and additional works at: https://escholarship.umassmed.edu/wellstone_pubs Part of the Cell Biology Commons, Developmental Biology Commons, Molecular Biology Commons, Molecular Genetics Commons, Musculoskeletal Diseases Commons, and the Nervous System Diseases Commons Repository Citation Arashiro P, Eisenberg I, Kho AT, Cerqueira AM, Canovas M, Silva HC, Pavanello RC, Verjovski-Almeida S, Kunkel LM, Zatz M. (2009). Transcriptional regulation differs in affected facioscapulohumeral muscular dystrophy patients compared to asymptomatic related carriers. Wellstone Center for FSHD Publications. https://doi.org/10.1073/pnas.0901573106. Retrieved from https://escholarship.umassmed.edu/ wellstone_pubs/18 This material is brought to you by eScholarship@UMMS. It has been accepted for inclusion in Wellstone Center for FSHD Publications by an authorized administrator of eScholarship@UMMS. For more information, please contact [email protected]. Transcriptional regulation differs in affected facioscapulohumeral muscular dystrophy patients compared to asymptomatic related carriers Patricia Arashiroa, Iris Eisenbergb, Alvin T. Khoc, Antonia M. P. Cerqueiraa, Marta -
Functional Genomics Atlas of Synovial Fibroblasts Defining Rheumatoid Arthritis
medRxiv preprint doi: https://doi.org/10.1101/2020.12.16.20248230; this version posted December 18, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission. Functional genomics atlas of synovial fibroblasts defining rheumatoid arthritis heritability Xiangyu Ge1*, Mojca Frank-Bertoncelj2*, Kerstin Klein2, Amanda Mcgovern1, Tadeja Kuret2,3, Miranda Houtman2, Blaž Burja2,3, Raphael Micheroli2, Miriam Marks4, Andrew Filer5,6, Christopher D. Buckley5,6,7, Gisela Orozco1, Oliver Distler2, Andrew P Morris1, Paul Martin1, Stephen Eyre1* & Caroline Ospelt2*,# 1Versus Arthritis Centre for Genetics and Genomics, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK 2Department of Rheumatology, Center of Experimental Rheumatology, University Hospital Zurich, University of Zurich, Zurich, Switzerland 3Department of Rheumatology, University Medical Centre, Ljubljana, Slovenia 4Schulthess Klinik, Zurich, Switzerland 5Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK 6NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust, University of Birmingham, Birmingham, UK 7Kennedy Institute of Rheumatology, University of Oxford Roosevelt Drive Headington Oxford UK *These authors contributed equally #corresponding author: [email protected] NOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice. 1 medRxiv preprint doi: https://doi.org/10.1101/2020.12.16.20248230; this version posted December 18, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. -
Characterization of a 7.6-Mb Germline Deletion Encompassing the NF1 Locus and About a Hundred Genes in an NF1 Contiguous Gene Syndrome Patient
European Journal of Human Genetics (2008) 16, 1459–1466 & 2008 Macmillan Publishers Limited All rights reserved 1018-4813/08 $32.00 www.nature.com/ejhg ARTICLE Characterization of a 7.6-Mb germline deletion encompassing the NF1 locus and about a hundred genes in an NF1 contiguous gene syndrome patient Eric Pasmant*,1,2, Aure´lie de Saint-Trivier2, Ingrid Laurendeau1, Anne Dieux-Coeslier3, Be´atrice Parfait1,2, Michel Vidaud1,2, Dominique Vidaud1,2 and Ivan Bie`che1,2 1UMR745 INSERM, Universite´ Paris Descartes, Faculte´ des Sciences Pharmaceutiques et Biologiques, Paris, France; 2Service de Biochimie et de Ge´ne´tique Mole´culaire, Hoˆpital Beaujon AP-HP, Clichy, France; 3Service de Ge´ne´tique Clinique, Hoˆpital Jeanne de Flandre, Lille, France We describe a large germline deletion removing the NF1 locus, identified by heterozygosity mapping based on microsatellite markers, in an 8-year-old French girl with a particularly severe NF1 contiguous gene syndrome. We used gene-dose mapping with sequence-tagged site real-time PCR to locate the deletion end points, which were precisely characterized by means of long-range PCR and nucleotide sequencing. The deletion is located on chromosome arm 17q and is exactly 7 586 986 bp long. It encompasses the entire NF1 locus and about 100 other genes, including numerous chemokine genes, an attractive in silico-selected cerebrally expressed candidate gene (designated NUFIP2, for nuclear fragile X mental retardation protein interacting protein 2; NM_020772) and four microRNA genes. Interestingly, the centromeric breakpoint is located in intron 4 of the PIPOX gene (pipecolic acid oxidase; NM_016518) and the telomeric breakpoint in intron 5 of the GGNBP2 gene (gametogenetin binding protein 2; NM_024835) coding a transcription factor.