University of London Thesis

Total Page:16

File Type:pdf, Size:1020Kb

University of London Thesis REFERENCE ONLY UNIVERSITY OF LONDON THESIS Degree pWvO Y e a r Name of Author ^ COPYRIGHT This is a thesis accepted for a Higher Degree of the University of London. It is an unpublished typescript and the copyright is held by the author. All persons consulting the thesis must read and abide by the Copyright Declaration below. COPYRIGHT DECLARATION I recognise that the copyright of the above-described thesis rests with the author and that no quotation from it or information derived from it may be published without the prior written consent of the author. LOANS Theses may not be lent to individuals, but the Senate House Library may lend a copy to approved libraries within the United Kingdom, for consultation solely on the premises of those libraries. Application should be made to: Inter-Library Loans, Senate House Library, Senate House, Malet Street, London WC1E 7HU. REPRODUCTION University of London theses may not be reproduced without explicit written permission from the Senate House Library. Enquiries should be addressed to the Theses Section of the Library. Regulations concerning reproduction vary according to the date of acceptance of the thesis and are listed below as guidelines. A. Before 1962. Permission granted only upon the prior written consent of the author. (The Senate House Library will provide addresses where possible). B. 1962 - 1974. In many cases the author has agreed to permit copying upon completion of a Copyright Declaration. C. 1975 - 1988. Most theses may be copied upon completion of a Copyright Declaration. D. 1989 onwards. Most theses may be copied. This thesis comes within category D. This copy has been deposited in the Library of This copy has been deposited in the Senate House Library, Senate House, Malet Street, London WC1E 7HU. C:\Documents and Settings\lproctor\Local Settings\Temporary Internet Files\OLK8\Copyright - thesis (2).doc Human macular gene expression b y Daniel Mark Homan submitted for the degree of Doctor of philosophy in Genetics UCL Division of Molecular Genetics Institute o f Ophthalmology, University College London UMI Number: U592054 All rights reserved INFORMATION TO ALL USERS The quality of this reproduction is dependent upon the quality of the copy submitted. In the unlikely event that the author did not send a complete manuscript and there are missing pages, these will be noted. Also, if material had to be removed, a note will indicate the deletion. Dissertation Publishing UMI U592054 Published by ProQuest LLC 2013. Copyright in the Dissertation held by the Author. Microform Edition © ProQuest LLC. All rights reserved. This work is protected against unauthorized copying under Title 17, United States Code. ProQuest LLC 789 East Eisenhower Parkway P.O. Box 1346 Ann Arbor, Ml 48106-1346 Abstract The human macula is essential for precise vision. It contains many more cone photore­ ceptors than the peripheral retina, especially in the fovea. Cones are known to express specific opsins and other proteins that form part of the phototransduction cascade. However, relatively little is known about retinal macular gene expression compared with the rod-rich peripheral retina. I obtained human donor eyes and used foveo-macular and macular punches and sections of peripheral retina to study differential gene expres­ sion. I combined multiple microarray experiments with quantitative PCR, statistical, and bioinformatic analyses. I identified several known and previously unidentified retinal genes that are more abundant in the macula. I went on to characterize proteins encoded by histone deacetylase 9 and the morpheus gene family. Both were expressed in the human macula, especially in the photoreceptors. Several other genes also provided insight into the mechanisms of precise vision and its maintenance. Genes identified by this approach are excellent candidates for macular disease. 1 Contents 1 Introduction 16 1.1 R e tin a .................................................................................................................... 18 1.1.1 Retinal pigment epithelium ................................................................... 21 1.1.2 Neural r e t i n a .......................................................................................... 22 1.1.3 P hotoreceptors....................................................................................... 23 1.1.4 Photoreceptor connections ................................................................... 26 1.1.5 Bipolar cells .......................................................................................... 27 1.1.6 Ganglion cells ...................................................................................... 28 1.1.7 Horizontal c e lls ...................................................................................... 30 1.1.8 Amacrine c e l l s ...................................................................................... 31 1.2 Phototransduction ................................................................................................ 32 1.2.1 Cones versus rods ................................................................................ 33 1.2.2 Photoreceptor tu rn o v er ......................................................................... 35 1.3 Macular gene expression .................................................................................... 35 1.3.1 Serial analysis of gene expression ...................................................... 36 1.3.2 Macular disease....................................................................................... 38 1.3.3 Age-related macular degeneration ...................................................... 46 1.3.4 Functional g e n o m ic s ............................................................................. 50 1.4 O bjectives ............................................................................................................. 52 1.5 Results................................................................................................................... 53 1.6 Discussion ............................................................................................................. 56 2 CONTENTS 3 1.7 Conclusions ........................................................................................................ 58 2 Methods 59 2.1 Tissue procurement .......................................................................................... 59 2.2 Dissection ........................................................................................................... 60 2.3 RNA ex tractio n ................................................................................................. 60 2.3.1 Handling R N A .................................................................................... 60 2.3.2 Isolation of RNA from Small Quantities of Tissue ......................... 61 2.3.3 RNA gel electrophoresis .................................................................... 64 2.4 Analysis of foveal and peripheral retinal m R N A .......................................... 66 2.5 Construction of cDNA library ....................................................................... 67 2.6 Library screening .............................................................................................. 67 2.7 Microarray ........................................................................................................ 68 2.8 Quantitative P C R .............................................................................................. 73 2.9 Tissue and antibody resources ....................................................................... 76 2.10 Tissue culture ..................................................................................................... 77 2.11 Enzyme linked immuno-sorbent assay (ELISA ) .......................................... 79 2.11.1 C o a tin g ................................................................................................. 79 2.11.2 Blocking .............................................................................................. 79 2.11.3 Sample .................................................................................................. 79 2.11.4 W ash ..................................................................................................... 80 2.11.5 Conjugate .............................................................................................. 80 2.11.6 W ash ..................................................................................................... 80 2.11.7 Substrate .............................................................................................. 81 2.11.8 Stop ........................................................................................................ 81 2.12 Western blotting .................................................................................................. 81 2.13 Immunofluorescence ........................................................................................ 83 2.13.1 Cell c u ltu re ........................................................................................... 83 2.13.2 Retinal sections .................................................................................... 84 CONTENTS 4 2.13.3 Imaging ................................................................................................... 85 2.14 Antisera production ............................................................................................ 86 2.15 Cloning ...............................................................................................................
Recommended publications
  • Program Nr: 1 from the 2004 ASHG Annual Meeting Mutations in A
    Program Nr: 1 from the 2004 ASHG Annual Meeting Mutations in a novel member of the chromodomain gene family cause CHARGE syndrome. L.E.L.M. Vissers1, C.M.A. van Ravenswaaij1, R. Admiraal2, J.A. Hurst3, B.B.A. de Vries1, I.M. Janssen1, W.A. van der Vliet1, E.H.L.P.G. Huys1, P.J. de Jong4, B.C.J. Hamel1, E.F.P.M. Schoenmakers1, H.G. Brunner1, A. Geurts van Kessel1, J.A. Veltman1. 1) Dept Human Genetics, UMC Nijmegen, Nijmegen, Netherlands; 2) Dept Otorhinolaryngology, UMC Nijmegen, Nijmegen, Netherlands; 3) Dept Clinical Genetics, The Churchill Hospital, Oxford, United Kingdom; 4) Children's Hospital Oakland Research Institute, BACPAC Resources, Oakland, CA. CHARGE association denotes the non-random occurrence of ocular coloboma, heart defects, choanal atresia, retarded growth and development, genital hypoplasia, ear anomalies and deafness (OMIM #214800). Almost all patients with CHARGE association are sporadic and its cause was unknown. We and others hypothesized that CHARGE association is due to a genomic microdeletion or to a mutation in a gene affecting early embryonic development. In this study array- based comparative genomic hybridization (array CGH) was used to screen patients with CHARGE association for submicroscopic DNA copy number alterations. De novo overlapping microdeletions in 8q12 were identified in two patients on a genome-wide 1 Mb resolution BAC array. A 2.3 Mb region of deletion overlap was defined using a tiling resolution chromosome 8 microarray. Sequence analysis of genes residing within this critical region revealed mutations in the CHD7 gene in 10 of the 17 CHARGE patients without microdeletions, including 7 heterozygous stop-codon mutations.
    [Show full text]
  • A Multistep Bioinformatic Approach Detects Putative Regulatory
    BMC Bioinformatics BioMed Central Research article Open Access A multistep bioinformatic approach detects putative regulatory elements in gene promoters Stefania Bortoluzzi1, Alessandro Coppe1, Andrea Bisognin1, Cinzia Pizzi2 and Gian Antonio Danieli*1 Address: 1Department of Biology, University of Padova – Via Bassi 58/B, 35131, Padova, Italy and 2Department of Information Engineering, University of Padova – Via Gradenigo 6/B, 35131, Padova, Italy Email: Stefania Bortoluzzi - [email protected]; Alessandro Coppe - [email protected]; Andrea Bisognin - [email protected]; Cinzia Pizzi - [email protected]; Gian Antonio Danieli* - [email protected] * Corresponding author Published: 18 May 2005 Received: 12 November 2004 Accepted: 18 May 2005 BMC Bioinformatics 2005, 6:121 doi:10.1186/1471-2105-6-121 This article is available from: http://www.biomedcentral.com/1471-2105/6/121 © 2005 Bortoluzzi 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 Background: Searching for approximate patterns in large promoter sequences frequently produces an exceedingly high numbers of results. Our aim was to exploit biological knowledge for definition of a sheltered search space and of appropriate search parameters, in order to develop a method for identification of a tractable number of sequence motifs. Results: Novel software (COOP) was developed for extraction of sequence motifs, based on clustering of exact or approximate patterns according to the frequency of their overlapping occurrences.
    [Show full text]
  • 1 Supporting Information for a Microrna Network Regulates
    Supporting Information for A microRNA Network Regulates Expression and Biosynthesis of CFTR and CFTR-ΔF508 Shyam Ramachandrana,b, Philip H. Karpc, Peng Jiangc, Lynda S. Ostedgaardc, Amy E. Walza, John T. Fishere, Shaf Keshavjeeh, Kim A. Lennoxi, Ashley M. Jacobii, Scott D. Rosei, Mark A. Behlkei, Michael J. Welshb,c,d,g, Yi Xingb,c,f, Paul B. McCray Jr.a,b,c Author Affiliations: Department of Pediatricsa, Interdisciplinary Program in Geneticsb, Departments of Internal Medicinec, Molecular Physiology and Biophysicsd, Anatomy and Cell Biologye, Biomedical Engineeringf, Howard Hughes Medical Instituteg, Carver College of Medicine, University of Iowa, Iowa City, IA-52242 Division of Thoracic Surgeryh, Toronto General Hospital, University Health Network, University of Toronto, Toronto, Canada-M5G 2C4 Integrated DNA Technologiesi, Coralville, IA-52241 To whom correspondence should be addressed: Email: [email protected] (M.J.W.); yi- [email protected] (Y.X.); Email: [email protected] (P.B.M.) This PDF file includes: Materials and Methods References Fig. S1. miR-138 regulates SIN3A in a dose-dependent and site-specific manner. Fig. S2. miR-138 regulates endogenous SIN3A protein expression. Fig. S3. miR-138 regulates endogenous CFTR protein expression in Calu-3 cells. Fig. S4. miR-138 regulates endogenous CFTR protein expression in primary human airway epithelia. Fig. S5. miR-138 regulates CFTR expression in HeLa cells. Fig. S6. miR-138 regulates CFTR expression in HEK293T cells. Fig. S7. HeLa cells exhibit CFTR channel activity. Fig. S8. miR-138 improves CFTR processing. Fig. S9. miR-138 improves CFTR-ΔF508 processing. Fig. S10. SIN3A inhibition yields partial rescue of Cl- transport in CF epithelia.
    [Show full text]
  • Subterranean Mammals Show Convergent Regression in Ocular Genes and Enhancers, Along with Adaptation to Tunneling
    RESEARCH ARTICLE Subterranean mammals show convergent regression in ocular genes and enhancers, along with adaptation to tunneling Raghavendran Partha1, Bharesh K Chauhan2,3, Zelia Ferreira1, Joseph D Robinson4, Kira Lathrop2,3, Ken K Nischal2,3, Maria Chikina1*, Nathan L Clark1* 1Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, United States; 2UPMC Eye Center, Children’s Hospital of Pittsburgh, Pittsburgh, United States; 3Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, United States; 4Department of Molecular and Cell Biology, University of California, Berkeley, United States Abstract The underground environment imposes unique demands on life that have led subterranean species to evolve specialized traits, many of which evolved convergently. We studied convergence in evolutionary rate in subterranean mammals in order to associate phenotypic evolution with specific genetic regions. We identified a strong excess of vision- and skin-related genes that changed at accelerated rates in the subterranean environment due to relaxed constraint and adaptive evolution. We also demonstrate that ocular-specific transcriptional enhancers were convergently accelerated, whereas enhancers active outside the eye were not. Furthermore, several uncharacterized genes and regulatory sequences demonstrated convergence and thus constitute novel candidate sequences for congenital ocular disorders. The strong evidence of convergence in these species indicates that evolution in this environment is recurrent and predictable and can be used to gain insights into phenotype–genotype relationships. DOI: https://doi.org/10.7554/eLife.25884.001 *For correspondence: [email protected] (MC); [email protected] (NLC) Competing interests: The Introduction authors declare that no The subterranean habitat has been colonized by numerous animal species for its shelter and unique competing interests exist.
    [Show full text]
  • Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights Froma Highly Derived Visual Phenotype Rui Borges Universidade Do Porto - Portugal
    Nova Southeastern University NSUWorks Biology Faculty Articles Department of Biological Sciences 8-22-2019 Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights froma Highly Derived Visual Phenotype Rui Borges Universidade do Porto - Portugal Joao Fonseca Universidade do Porto - Portugal Cidalia Gomes Universidade do Porto - Portugal Warren E. Johnson Smithsonian Institution Stephen James O'Brien St. Petersburg State University - Russia; Nova Southeastern University, [email protected] See next page for additional authors Follow this and additional works at: https://nsuworks.nova.edu/cnso_bio_facarticles Part of the Biology Commons NSUWorks Citation Borges, Rui; Joao Fonseca; Cidalia Gomes; Warren E. Johnson; Stephen James O'Brien; Guojie Zhang; M. Thomas P. Gilbert; Erich D. Jarvis; and Agostinho Antunes. 2019. "Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights froma Highly Derived Visual Phenotype." Genome Biology and Evolution 11, (8): 2244-2255. doi:10.1093/gbe/evz111. This Article is brought to you for free and open access by the Department of Biological Sciences at NSUWorks. It has been accepted for inclusion in Biology Faculty Articles by an authorized administrator of NSUWorks. For more information, please contact [email protected]. Authors Rui Borges, Joao Fonseca, Cidalia Gomes, Warren E. Johnson, Stephen James O'Brien, Guojie Zhang, M. Thomas P. Gilbert, Erich D. Jarvis, and Agostinho Antunes This article is available at NSUWorks: https://nsuworks.nova.edu/cnso_bio_facarticles/982 GBE Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights from a Highly Derived Visual Downloaded from https://academic.oup.com/gbe/article-abstract/11/8/2244/5544263 by Nova Southeastern University/HPD Library user on 16 September 2019 Phenotype Rui Borges1,2,Joao~ Fonseca1,Cidalia Gomes1, Warren E.
    [Show full text]
  • Genome Sequence of the Basal Haplorrhine Primate Tarsius Syrichta Reveals Unusual Insertions
    ARTICLE Received 29 Oct 2015 | Accepted 17 Aug 2016 | Published 6 Oct 2016 DOI: 10.1038/ncomms12997 OPEN Genome sequence of the basal haplorrhine primate Tarsius syrichta reveals unusual insertions Ju¨rgen Schmitz1,2, Angela Noll1,2,3, Carsten A. Raabe1,4, Gennady Churakov1,5, Reinhard Voss6, Martin Kiefmann1, Timofey Rozhdestvensky1,7,Ju¨rgen Brosius1,4, Robert Baertsch8, Hiram Clawson8, Christian Roos3, Aleksey Zimin9, Patrick Minx10, Michael J. Montague10, Richard K. Wilson10 & Wesley C. Warren10 Tarsiers are phylogenetically located between the most basal strepsirrhines and the most derived anthropoid primates. While they share morphological features with both groups, they also possess uncommon primate characteristics, rendering their evolutionary history somewhat obscure. To investigate the molecular basis of such attributes, we present here a new genome assembly of the Philippine tarsier (Tarsius syrichta), and provide extended analyses of the genome and detailed history of transposable element insertion events. We describe the silencing of Alu monomers on the lineage leading to anthropoids, and recognize an unexpected abundance of long terminal repeat-derived and LINE1-mobilized transposed elements (Tarsius interspersed elements; TINEs). For the first time in mammals, we identify a complete mitochondrial genome insertion within the nuclear genome, then reveal tarsier-specific, positive gene selection and posit population size changes over time. The genomic resources and analyses presented here will aid efforts to more fully understand the ancient characteristics of primate genomes. 1 Institute of Experimental Pathology, University of Mu¨nster, 48149 Mu¨nster, Germany. 2 Mu¨nster Graduate School of Evolution, University of Mu¨nster, 48149 Mu¨nster, Germany. 3 Primate Genetics Laboratory, German Primate Center, Leibniz Institute for Primate Research, 37077 Go¨ttingen, Germany.
    [Show full text]
  • A Draft Map of the Human Proteome
    ARTICLE doi:10.1038/nature13302 A draft map of the human proteome Min-Sik Kim1,2, Sneha M. Pinto3, Derese Getnet1,4, Raja Sekhar Nirujogi3, Srikanth S. Manda3, Raghothama Chaerkady1,2, Anil K. Madugundu3, Dhanashree S. Kelkar3, Ruth Isserlin5, Shobhit Jain5, Joji K. Thomas3, Babylakshmi Muthusamy3, Pamela Leal-Rojas1,6, Praveen Kumar3, Nandini A. Sahasrabuddhe3, Lavanya Balakrishnan3, Jayshree Advani3, Bijesh George3, Santosh Renuse3, Lakshmi Dhevi N. Selvan3, Arun H. Patil3, Vishalakshi Nanjappa3, Aneesha Radhakrishnan3, Samarjeet Prasad1, Tejaswini Subbannayya3, Rajesh Raju3, Manish Kumar3, Sreelakshmi K. Sreenivasamurthy3, Arivusudar Marimuthu3, Gajanan J. Sathe3, Sandip Chavan3, Keshava K. Datta3, Yashwanth Subbannayya3, Apeksha Sahu3, Soujanya D. Yelamanchi3, Savita Jayaram3, Pavithra Rajagopalan3, Jyoti Sharma3, Krishna R. Murthy3, Nazia Syed3, Renu Goel3, Aafaque A. Khan3, Sartaj Ahmad3, Gourav Dey3, Keshav Mudgal7, Aditi Chatterjee3, Tai-Chung Huang1, Jun Zhong1, Xinyan Wu1,2, Patrick G. Shaw1, Donald Freed1, Muhammad S. Zahari2, Kanchan K. Mukherjee8, Subramanian Shankar9, Anita Mahadevan10,11, Henry Lam12, Christopher J. Mitchell1, Susarla Krishna Shankar10,11, Parthasarathy Satishchandra13, John T. Schroeder14, Ravi Sirdeshmukh3, Anirban Maitra15,16, Steven D. Leach1,17, Charles G. Drake16,18, Marc K. Halushka15, T. S. Keshava Prasad3, Ralph H. Hruban15,16, Candace L. Kerr19{, Gary D. Bader5, Christine A. Iacobuzio-Donahue15,16,17, Harsha Gowda3 & Akhilesh Pandey1,2,3,4,15,16,20 The availability of human genome sequence has transformed biomedical research over the past decade. However, an equiv- alent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here we present a draft map of the human proteome using high-resolution Fourier-transform mass spectrometry.
    [Show full text]
  • Mechanisms Underlying Phenotypic Heterogeneity in Simplex Autism Spectrum Disorders
    Mechanisms Underlying Phenotypic Heterogeneity in Simplex Autism Spectrum Disorders Andrew H. Chiang Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy under the Executive Committee of the Graduate School of Arts and Sciences COLUMBIA UNIVERSITY 2021 © 2021 Andrew H. Chiang All Rights Reserved Abstract Mechanisms Underlying Phenotypic Heterogeneity in Simplex Autism Spectrum Disorders Andrew H. Chiang Autism spectrum disorders (ASD) are a group of related neurodevelopmental diseases displaying significant genetic and phenotypic heterogeneity. Despite recent progress in ASD genetics, the nature of phenotypic heterogeneity across probands is not well understood. Notably, likely gene- disrupting (LGD) de novo mutations affecting the same gene often result in substantially different ASD phenotypes. We find that truncating mutations in a gene can result in a range of relatively mild decreases (15-30%) in gene expression due to nonsense-mediated decay (NMD), and show that more severe autism phenotypes are associated with greater decreases in expression. We also find that each gene with recurrent ASD mutations can be described by a parameter, phenotype dosage sensitivity (PDS), which characteriZes the relationship between changes in a gene’s dosage and changes in a given phenotype. Using simple linear models, we show that changes in gene dosage account for a substantial fraction of phenotypic variability in ASD. We further observe that LGD mutations affecting the same exon frequently lead to strikingly similar phenotypes in unrelated ASD probands. These patterns are observed for two independent proband cohorts and multiple important ASD-associated phenotypes. The observed phenotypic similarities are likely mediated by similar changes in gene dosage and similar perturbations to the relative expression of splicing isoforms.
    [Show full text]
  • Towards the Identification of Causal Genes for Age-Related Macular
    bioRxiv preprint doi: https://doi.org/10.1101/778613; this version posted September 23, 2019. 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 Towards the identification of causal genes for age-related macular degeneration 2 3 Fei-Fei Cheng1,2,3,5, You-Yuan Zhuang1,2,5, Xin-Ran Wen1,2, Angli Xue4, Jian Yang3,4,6,*, Zi-Bing 4 Jin1,2,6,* 5 6 1Division of Ophthalmic Genetics, The Eye Hospital, Wenzhou Medical University, Wenzhou 325027, 7 China; 8 2National Center for International Research in Regenerative Medicine and Neurogenetics, National 9 Clinical Research Center for Ophthalmology, State Key Laboratory of Ophthalmology, Optometry and 10 Visual Science, Wenzhou, 325027 China; 11 3Institute for Advanced Research, Wenzhou Medical University, Wenzhou 325035, China; 12 4Institute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, 13 Australia; 14 5These authors contributed equally. 15 6These authors jointly supervised this work. 16 *Correspondence: Zi-Bing Jin <[email protected]> or Jian Yang <[email protected]>. 17 18 Abstract 19 Age-related macular degeneration (AMD) is a leading cause of visual impairment in ageing 20 populations and has no radical treatment or prevention. Although genome-wide association studies 21 (GWAS) have identified many susceptibility loci for AMD, the underlying causal genes remain 22 elusive. Here, we prioritized nine putative causal genes by integrating expression quantitative trait 23 locus (eQTL) data from blood (푛 = 2,765) with AMD GWAS data (16,144 cases vs.
    [Show full text]
  • HHS Public Access Author Manuscript
    HHS Public Access Author manuscript Author Manuscript Author ManuscriptJAMA Psychiatry Author Manuscript. Author Author Manuscript manuscript; available in PMC 2015 August 03. Published in final edited form as: JAMA Psychiatry. 2014 June ; 71(6): 657–664. doi:10.1001/jamapsychiatry.2014.176. Identification of Pathways for Bipolar Disorder A Meta-analysis John I. Nurnberger Jr, MD, PhD, Daniel L. Koller, PhD, Jeesun Jung, PhD, Howard J. Edenberg, PhD, Tatiana Foroud, PhD, Ilaria Guella, PhD, Marquis P. Vawter, PhD, and John R. Kelsoe, MD for the Psychiatric Genomics Consortium Bipolar Group Department of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis (Nurnberger, Koller, Edenberg, Foroud); Institute of Psychiatric Research, Department of Psychiatry, Indiana University School of Medicine, Indianapolis (Nurnberger, Foroud); Laboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism Intramural Research Program, Bethesda, Maryland (Jung); Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis (Edenberg); Functional Genomics Laboratory, Department of Psychiatry and Human Behavior, School of Medicine, University of California, Irvine (Guella, Vawter); Department of Psychiatry, School of Medicine, Corresponding Author: John I. Nurnberger Jr, MD, PhD, Institute of Psychiatric Research, Department of Psychiatry, Indiana University School of Medicine, 791 Union Dr, Indianapolis, IN 46202 ([email protected]). Author Contributions: Drs Koller and Vawter had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis. Study concept and design: Nurnberger, Koller, Edenberg, Vawter. Acquisition, analysis, or interpretation of data: All authors. Drafting of the manuscript: Nurnberger, Koller, Jung, Vawter.
    [Show full text]
  • Genetic Analyses of Human Fetal Retinal Pigment Epithelium Gene Expression Suggest Ocular Disease Mechanisms
    ARTICLE https://doi.org/10.1038/s42003-019-0430-6 OPEN Genetic analyses of human fetal retinal pigment epithelium gene expression suggest ocular disease mechanisms Boxiang Liu 1,6, Melissa A. Calton2,6, Nathan S. Abell2, Gillie Benchorin2, Michael J. Gloudemans 3, 1234567890():,; Ming Chen2, Jane Hu4, Xin Li 5, Brunilda Balliu5, Dean Bok4, Stephen B. Montgomery 2,5 & Douglas Vollrath2 The retinal pigment epithelium (RPE) serves vital roles in ocular development and retinal homeostasis but has limited representation in large-scale functional genomics datasets. Understanding how common human genetic variants affect RPE gene expression could elu- cidate the sources of phenotypic variability in selected monogenic ocular diseases and pin- point causal genes at genome-wide association study (GWAS) loci. We interrogated the genetics of gene expression of cultured human fetal RPE (fRPE) cells under two metabolic conditions and discovered hundreds of shared or condition-specific expression or splice quantitative trait loci (e/sQTLs). Co-localizations of fRPE e/sQTLs with age-related macular degeneration (AMD) and myopia GWAS data suggest new candidate genes, and mechan- isms by which a common RDH5 allele contributes to both increased AMD risk and decreased myopia risk. Our study highlights the unique transcriptomic characteristics of fRPE and provides a resource to connect e/sQTLs in a critical ocular cell type to monogenic and complex eye disorders. 1 Department of Biology, Stanford University, Stanford, CA 94305, USA. 2 Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA. 3 Program in Biomedical Informatics, Stanford University School of Medicine, Stanford 94305 CA, USA. 4 Department of Ophthalmology, Jules Stein Eye Institute, UCLA, Los Angeles 90095 CA, USA.
    [Show full text]
  • Nº Ref Uniprot Proteína Péptidos Identificados Por MS/MS 1 P01024
    Document downloaded from http://www.elsevier.es, day 26/09/2021. This copy is for personal use. Any transmission of this document by any media or format is strictly prohibited. Nº Ref Uniprot Proteína Péptidos identificados 1 P01024 CO3_HUMAN Complement C3 OS=Homo sapiens GN=C3 PE=1 SV=2 por 162MS/MS 2 P02751 FINC_HUMAN Fibronectin OS=Homo sapiens GN=FN1 PE=1 SV=4 131 3 P01023 A2MG_HUMAN Alpha-2-macroglobulin OS=Homo sapiens GN=A2M PE=1 SV=3 128 4 P0C0L4 CO4A_HUMAN Complement C4-A OS=Homo sapiens GN=C4A PE=1 SV=1 95 5 P04275 VWF_HUMAN von Willebrand factor OS=Homo sapiens GN=VWF PE=1 SV=4 81 6 P02675 FIBB_HUMAN Fibrinogen beta chain OS=Homo sapiens GN=FGB PE=1 SV=2 78 7 P01031 CO5_HUMAN Complement C5 OS=Homo sapiens GN=C5 PE=1 SV=4 66 8 P02768 ALBU_HUMAN Serum albumin OS=Homo sapiens GN=ALB PE=1 SV=2 66 9 P00450 CERU_HUMAN Ceruloplasmin OS=Homo sapiens GN=CP PE=1 SV=1 64 10 P02671 FIBA_HUMAN Fibrinogen alpha chain OS=Homo sapiens GN=FGA PE=1 SV=2 58 11 P08603 CFAH_HUMAN Complement factor H OS=Homo sapiens GN=CFH PE=1 SV=4 56 12 P02787 TRFE_HUMAN Serotransferrin OS=Homo sapiens GN=TF PE=1 SV=3 54 13 P00747 PLMN_HUMAN Plasminogen OS=Homo sapiens GN=PLG PE=1 SV=2 48 14 P02679 FIBG_HUMAN Fibrinogen gamma chain OS=Homo sapiens GN=FGG PE=1 SV=3 47 15 P01871 IGHM_HUMAN Ig mu chain C region OS=Homo sapiens GN=IGHM PE=1 SV=3 41 16 P04003 C4BPA_HUMAN C4b-binding protein alpha chain OS=Homo sapiens GN=C4BPA PE=1 SV=2 37 17 Q9Y6R7 FCGBP_HUMAN IgGFc-binding protein OS=Homo sapiens GN=FCGBP PE=1 SV=3 30 18 O43866 CD5L_HUMAN CD5 antigen-like OS=Homo
    [Show full text]