The Human LARGE Gene from 22Q12.3-Q13.1 Is a New, Distinct Member of the Glycosyltransferase Gene Family

Total Page:16

File Type:pdf, Size:1020Kb

The Human LARGE Gene from 22Q12.3-Q13.1 Is a New, Distinct Member of the Glycosyltransferase Gene Family Proc. Natl. Acad. Sci. USA Vol. 96, pp. 598–603, January 1999 Genetics The human LARGE gene from 22q12.3-q13.1 is a new, distinct member of the glycosyltransferase gene family MYRIAM PEYRARD*, EYAL SEROUSSI*, ANN-CHRISTIN SANDBERG-NORDQVIST*, YA-GANG XIE*, FEI-YU HAN*, INGEGERD FRANSSON*, JOHN COLLINS†,IAN DUNHAM†,MARIA KOST-ALIMOVA‡§,STEPHAN IMREH‡, AND JAN P. DUMANSKI*¶ *Department of Molecular Medicine, Karolinska Hospital, S-171 76 Stockholm, Sweden; †Sanger Centre, Wellcome Trust Genome Campus, Hinxton, Cambridgeshire CB10 1SA, United Kingdom; ‡Microbiology and Tumor Biology Center, Karolinska Institutet, S-171 77 Stockholm, Sweden; and §Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, Vavilov Street 32, 117984 Moscow, Russia Communicated by Rolf Luft, Karolinska Hospital, Stockholm, Sweden, November 20, 1998 (received for review September 15, 1998) ABSTRACT Meningioma, a tumor of the meninges cov- glycosphingolipid sugar chains within different compartments ering the central nervous system, shows frequent loss of of the Golgi network (5). Analysis of sequences from mam- material from human chromosome 22. Homozygous and malian GTs cloned so far indicates a family with low sequence heterozygous deletions in meningiomas defined a candidate conservation but with similar protein structure. They all are region of >1 Mbp in 22q12.3-q13.1 and directed us to gene between 330–560 amino acids long and share the same type II y transmembrane protein structure (Nin Cout) with four main cloning in this segment. We characterized a new member of the y N-acetylglucosaminyltransferase gene family, the LARGE domains: a short cytoplasmic domain, a targeting membrane- gene. It occupies >664 kilobases and is one of the largest anchoring domain, a stem region, and a catalytic domain. The human genes. The predicted 756-aa N-acetylglucosaminyl- latter two are located within the Golgi cisternae (5). Glycosphingolipids are composed of sphingosine, fatty acid transferase encoded by LARGE displays features that are chain, and oligosaccharide head, which constitutes the basis for absent in other glycosyltransferases. The human like- their diversity. Gangliosides are complex glycosphingolipids acetylglucosaminyltransferase polypeptide is much longer containing sialic acid residues in their oligosaccharide head. and contains putative coiled-coil domains. We characterized Gangliosides participate in various cellular processes, and the mouse LARGE ortholog, which encodes a protein 97.75% there is evidence for their role in tumorigenesis: e.g., the identical with the human counterpart. Both genes reveal composition of gangliosides has been shown to change on ubiquitous expression as assessed by Northern blot analysis cellular transformation (6, 7). This process is believed to and in situ histochemistry. Chromosomal mapping of the increase tumorigenicity andyor to affect the metastatic capac- mouse gene reveals that mouse chromosome 8C1 corresponds ity of tumor cells. Some growth factor receptors appears to be to human 22q12.3-q13.1. Abnormal glycosylation of proteins regulated by gangliosides, among them ganglioside GD3. and glycosphingolipids has been shown as a mechanism Gangliosides may inhibit dimerization of growth factor recep- behind an increased potential of tumor formation andyor tors and thus may modify their actions (8). Melanoma was progression. Human tumors overexpress ganglioside GD3 shown to overexpress gangliosides GD3 and GD2, and clinical (NeuAca2,8NeuAca2,3Galb1,4Glc-Cer), which in meningio- trials using antibodies mimicking GD3 or GD2 resulted in mas correlates with deletions on chromosome 22. It is the first inhibition of tumor growth in a number of patients (9, 10). time that a glycosyltransferase gene is involved in tumor- Meningioma also has been studied for its content of ganglio- specific genomic rearrangements. An abnormal function of sides and has been divided into ganglioside GM3 (NeuAca2,3Galb1,4Glc-Cer)- and GD3-rich groups (11). It the human like-acetylglucosaminyltransferase protein may be also has been shown that monosomy 22 in meningiomas linked to the developmentyprogression of meningioma by y correlates with a high GD3 content (12). Moreover, there is a altering the composition of gangliosides and or by effect(s) on connection between monosomy 22 and an increased aggres- other glycosylated molecules in tumor cells. siveness of meningioma because deletions on chromosome 22 correlate with signs of tumor recurrence (13). Human chromosome 22 is the second smallest autosome and We report here the cloning of a novel, distinct member of the is rich in genes of medical interest. A considerable number of N-acetylglucosaminyltransferase gene family, the LARGE tumors exhibit deletions on this chromosome, suggesting that gene, from a region on human chromosome 22 that previously it contains several cancer-related genes that have not yet been was shown to be affected by interstitial tumor deletions. An abnormal function of the human like-acetylglucosaminyltrans- characterized (1). Meningioma is one of the tumors that y frequently display total or partial deletions on chromosome 22 ferase (LARGE) protein may be linked to the development progression of meningioma by altering the composition of (2–4). Previous studies revealed several regions on 22q that y were targeted by interstitial homozygous andyor heterozygous gangliosides and or by effect(s) on other glycosylated mole- cules in tumor cells. tumor-specific deletions, and these regions may therefore harbor tumor suppressor genes. One of the regions was defined by a combination of two interstitial deletions—a homozygous MATERIALS AND METHODS deletion in one tumor and a heterozygous deletion in another . Physical Mapping, Analysis of Genomic Sequence, and (4)—and delineated a segment of 1 Mbp in 22q12.3-q13.1. cDNA Screening. The contig was constructed and exon am- These findings prompted us to investigate the gene content of this chromosomal region. Abbreviations: LARGE, human like-acetylglucosaminyltransferase; Glycosyltransferases (GTs) constitute a heterogeneous FISH, fluorescent in situ hybridization; acc., European Molecular group of enzymes that carry out synthesis of glycoprotein and Biology LaboratoryyGenBank accession number; GT, glycosyltrans- ferase; kb, kilobase; PAC, P1-derived artificial chromosome. The publication costs of this article were defrayed in part by page charge Data deposition: The sequences reported in this paper have been deposited in the GenBank database [accession nos. AJ007583 payment. This article must therefore be hereby marked ‘‘advertisement’’ in (LARGE cDNA sequence) and AJ006278 (Large cDNA sequence)]. accordance with 18 U.S.C. §1734 solely to indicate this fact. ¶To whom reprint request should be addressed. e-mail: Jan.Dumanski@ PNAS is available online at www.pnas.org. cmm.ki.se. 598 Downloaded by guest on October 3, 2021 Genetics: Peyrard et al. Proc. Natl. Acad. Sci. USA 96 (1999) 599 plification was applied to 24 cosmids from the region as a fluorescence microscope (LEITZ-DMRB, Leica, Heidel- described (14–16). Analysis of sequences was performed by berg). using the XGRAIL2 program (17). Predicted exons were tested by PCR in the following cDNA libraries: fetal brain, fetal RESULTS muscle, adult muscle, fetal spleen, pancreatic adenocarcinoma, and testis (Stratagene, catalog nos. 936206, 836201, 937209, Mapping of the Region Deleted in Tumors 11 and 119A and 937205, 937208, and 939202, respectively) and fetal brain and Construction of a Genomic Contig. Previous deletion mapping thyroid (CLONTECH, catalog nos. HL3003a and HL3019a, of 170 sporadic meningiomas revealed two cases (11 and 119) respectively). DNA fragments were labeled radioactively by with interstitial deletions centered around marker KI-844 (4). PCR (18) or by random priming (19). cDNA screening of We refined here the breakpoint location of the deletions by human fetal brain (Stratagene, catalog no. 936206), mouse using the following eight markers: KI-1186, KI-844, KI-106, early embryo, and mouse brain (CLONTECH, catalog no. KI-117, KI-711, W23C, KI-261, and the MB (myoglobin) gene ML3000a) libraries was performed as described (20). (Fig. 1). Loss of heterozygosity in tumor 11, defining the extent Sequencing and Bioinformatics. cDNA sequencing was of heterozygous deletion, was observed for the above markers, performed by using BigDye-Terminators (Applied Biosys- except KI-1186 at the centromeric side and W23C, KI-261, and tems) (21). Sequencing products were separated by using MB at the telomeric side of the deletion. The tumor 119 LongRanger (FMC) on ABI377 (Applied Biosystems). Se- originally was divided into multiple sections, and three of them quences were assembled by using the GAP4 program (22). were analyzed molecularly. On refined analysis, section 119A cDNAs were sequenced with a minimal redundancy of 8.7 displayed a homozygous deletion for all above-mentioned reading character per consensus character and at least one markers except for KI-1186 and MB. The overlap between sequencing read on each strand. Repeats were filtered out by yy these deletions can be estimated to 1.5 Mbp between markers using REPEAT MASKER (http: www.ftp.genome.washing- KI-844 and KI-711 (30). Using the probes previously mapped ton.edu). The BLAST programs were used on the National y to this part of chromosome 22 (31, 32), we constructed and Center for Biotechnology Information National Institutes of present here a physical map over the deleted area, based on a Health
Recommended publications
  • Analysis of Gene Expression Data for Gene Ontology
    ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins.
    [Show full text]
  • 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.
    [Show full text]
  • Attenuation of Ganglioside GM1 Accumulation in the Brain of GM1 Gangliosidosis Mice by Neonatal Intravenous Gene Transfer
    Gene Therapy (2003) 10, 1487–1493 & 2003 Nature Publishing Group All rights reserved 0969-7128/03 $25.00 www.nature.com/gt RESEARCH ARTICLE Attenuation of ganglioside GM1 accumulation in the brain of GM1 gangliosidosis mice by neonatal intravenous gene transfer N Takaura1, T Yagi2, M Maeda2, E Nanba3, A Oshima4, Y Suzuki5, T Yamano1 and A Tanaka1 1Department of Pediatrics, Osaka City University Graduate School of Medicine, Osaka, Japan; 2Department of Neurobiology and Anatomy, Osaka City University Graduate School of Medicine, Osaka, Japan; 3Gene Research Center, Tottori University, Yonago, Japan; 4Department of Pediatrics, Takagi Hospital, Saitama, Japan; and 5Pediatrics, Clinical Research Center, Nasu Institute for Developmental Disabilities, International University of Health and Welfare, Ohtawara, Japan A single intravenous injection with 4 Â 107 PFU of recombi- ganglioside GM1 was above the normal range in all treated nant adenovirus encoding mouse b-galactosidase cDNA to mice, which was speculated to be the result of reaccumula- newborn mice provided widespread increases of b-galacto- tion. However, the values were still definitely lower in most of sidase activity, and attenuated the development of the the treated mice than those in untreated mice. In the disease including the brain at least for 60 days. The b- histopathological study, X-gal-positive cells, which showed galactosidase activity showed 2–4 times as high a normal the expression of exogenous b-galactosidase gene, were activity in the liver and lung, and 50 times in the heart. In the observed in the brain. It is noteworthy that neonatal brain, while the activity was only 10–20% of normal, the administration via blood vessels provided access to the efficacy of the treatment was distinct.
    [Show full text]
  • Improvement of Spontaneous Alternation Behavior Deficit by Activation Ofα4β2 Nicotinic Acetylcholine Receptor Signaling in the Ganglioside GM3-Deficient Mice
    Biomedical Research 34 (4) 189-195, 2013 Improvement of spontaneous alternation behavior deficit by activation of α4β2 nicotinic acetylcholine receptor signaling in the ganglioside GM3- deficient mice 1 1 2 1 2 1 Kimie NIIMI , Chieko NISHIOKA , Tomomi MIYAMOTO , Eiki TAKAHASHI , Ichiro MIYOSHI , Chitoshi ITAKURA , 3, 4 and Tadashi YAMASHITA 1 Riken Brain Science Institute, Saitama 351-0198, Japan; 2 Graduate School of Medical Sciences, Nagoya City University, Nagoya 467- 8601, Japan; 3 Graduate School of Veterinary Medicine, Azabu University, Sagamihara 252-5201, Japan; and 4 World Class University Program, Kyungpook National University School of Medicine, Daegu, South Korea (Received 13 May 2013; and accepted 17 June 2013) ABSTRACT We have reported that in ganglioside GM3-deficient (GM3−/−) mice, spontaneous alternation be- havior assessed by a Y-maze task was significantly lower, and total arm entries were significantly higher than in wild-type mice. The objective of the present study was to examine the role of nico- tinic acetylcholine receptor (nAChR) signaling in impairment of spontaneous alternation behavior of GM3−/− mice. Nicotine treatment (0.3, 1.0 mg/kg, s.c.) dose dependently improved the sponta- neous alternation deficit without affecting total arm entries in GM3−/− mice. The nicotine-induced (1.0 mg/kg, s.c.) improvement was significantly abolished by the nAChR antagonist mecamyla- mine (1.0 mg/kg, i.p.). The α4β2 nAChR antagonist dihydro-β-erythroidine (2.5, 10.0 mg/kg, i.p.) dose dependently counteracted the nicotine-induced improvement of spontaneous alternation in GM3−/− mice, whereas the α7 nAChR antagonist methyllycaconitine (2.5, 10.0 mg/kg, i.p.) did not.
    [Show full text]
  • Association of Gene Ontology Categories with Decay Rate for Hepg2 Experiments These Tables Show Details for All Gene Ontology Categories
    Supplementary Table 1: Association of Gene Ontology Categories with Decay Rate for HepG2 Experiments These tables show details for all Gene Ontology categories. Inferences for manual classification scheme shown at the bottom. Those categories used in Figure 1A are highlighted in bold. Standard Deviations are shown in parentheses. P-values less than 1E-20 are indicated with a "0". Rate r (hour^-1) Half-life < 2hr. Decay % GO Number Category Name Probe Sets Group Non-Group Distribution p-value In-Group Non-Group Representation p-value GO:0006350 transcription 1523 0.221 (0.009) 0.127 (0.002) FASTER 0 13.1 (0.4) 4.5 (0.1) OVER 0 GO:0006351 transcription, DNA-dependent 1498 0.220 (0.009) 0.127 (0.002) FASTER 0 13.0 (0.4) 4.5 (0.1) OVER 0 GO:0006355 regulation of transcription, DNA-dependent 1163 0.230 (0.011) 0.128 (0.002) FASTER 5.00E-21 14.2 (0.5) 4.6 (0.1) OVER 0 GO:0006366 transcription from Pol II promoter 845 0.225 (0.012) 0.130 (0.002) FASTER 1.88E-14 13.0 (0.5) 4.8 (0.1) OVER 0 GO:0006139 nucleobase, nucleoside, nucleotide and nucleic acid metabolism3004 0.173 (0.006) 0.127 (0.002) FASTER 1.28E-12 8.4 (0.2) 4.5 (0.1) OVER 0 GO:0006357 regulation of transcription from Pol II promoter 487 0.231 (0.016) 0.132 (0.002) FASTER 6.05E-10 13.5 (0.6) 4.9 (0.1) OVER 0 GO:0008283 cell proliferation 625 0.189 (0.014) 0.132 (0.002) FASTER 1.95E-05 10.1 (0.6) 5.0 (0.1) OVER 1.50E-20 GO:0006513 monoubiquitination 36 0.305 (0.049) 0.134 (0.002) FASTER 2.69E-04 25.4 (4.4) 5.1 (0.1) OVER 2.04E-06 GO:0007050 cell cycle arrest 57 0.311 (0.054) 0.133 (0.002)
    [Show full text]
  • Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
    Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement.
    [Show full text]
  • Nicotinic Acetylcholine Receptor Signaling in Neuroprotection
    Akinori Akaike · Shun Shimohama Yoshimi Misu Editors Nicotinic Acetylcholine Receptor Signaling in Neuroprotection Nicotinic Acetylcholine Receptor Signaling in Neuroprotection Akinori Akaike • Shun Shimohama Yoshimi Misu Editors Nicotinic Acetylcholine Receptor Signaling in Neuroprotection Editors Akinori Akaike Shun Shimohama Department of Pharmacology, Graduate Department of Neurology, School of School of Pharmaceutical Sciences Medicine Kyoto University Sapporo Medical University Kyoto, Japan Sapporo, Hokkaido, Japan Wakayama Medical University Wakayama, Japan Yoshimi Misu Graduate School of Medicine Yokohama City University Yokohama, Kanagawa, Japan ISBN 978-981-10-8487-4 ISBN 978-981-10-8488-1 (eBook) https://doi.org/10.1007/978-981-10-8488-1 Library of Congress Control Number: 2018936753 © The Editor(s) (if applicable) and The Author(s) 2018. This book is an open access publication. Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. The use of general descriptive names, registered names, trademarks, service marks, etc.
    [Show full text]
  • Supplementary Material and Methods
    Supplementary material and methods Generation of cultured human epidermal sheets Normal human epidermal keratinocytes were isolated from human breast skin. Keratinocytes were grown on a feeder layer of irradiated human fibroblasts pre-seeded at 4000 cells /cm² in keratinocyte culture medium (KCM) containing a mix of 3:1 DMEM and HAM’s F12 (Invitrogen, Carlsbad, USA), supplemented with 10% FCS, 10ng/ml epidermal growth factor (EGF; R&D systems, Minneapolis, MN, USA), 0.12 IU/ml insulin (Lilly, Saint- Cloud, France), 0.4 mg/ml hydrocortisone (UpJohn, St Quentin en Yvelelines, France) , 5 mg/ml triiodo-L- thyronine (Sigma, St Quentin Fallavier, France), 24.3 mg/ml adenine (Sigma), isoproterenol (Isuprel, Hospira France, Meudon, France) and antibiotics (20 mg/ml gentamicin (Phanpharma, Fougères, France), 100 IU/ml penicillin (Phanpharma), and 1 mg/ml amphotericin B (Phanpharma)). The medium was changed every two days. NHEK were then cultured over a period of 13 days according to the protocol currently used at the Bank of Tissues and Cells for the generation of clinical grade epidermal sheets used for the treatment of severe extended burns (Ref). When needed, cells were harvested with trypsin-EDTA 0.05% (Thermo Fisher Scientific, Waltham, MA, USA) and collected for analysis. Clonogenic assay Keratinocytes were seeded on a feeder layer of irradiated fibroblasts, at a clonal density of 10-20 cells/cm² and cultivated for 10 to 14 days. Three flasks per tested condition were fixed and colored in a single 30 mns step using rhodamine B (Sigma) diluted at 0.01 g/ml in 4% paraformaldehyde. In each tested condition, cells from 3 other flasks were numerated after detachment by trypsin treatment.
    [Show full text]
  • Framework for the Development of Structured Cancer Pathology Reporting Protocols
    Standards for Pathology Informatics in Australia (SPIA) Reporting Terminology and Codes Immunopathology (v3.0) Superseding and incorporating the Australian Pathology Units and Terminology Standards and Guidelines (APUTS) ISBN: Pending State Health Publication Number (SHPN): Pending Online copyright © RCPA 2017 This work (Standards and Guidelines) is copyright. You may download, display, print and reproduce the Standards and Guidelines for your personal, non- commercial use or use within your organisation subject to the following terms and conditions: 1. The Standards and Guidelines may not be copied, reproduced, communicated or displayed, in whole or in part, for profit or commercial gain. 2. Any copy, reproduction or communication must include this RCPA copyright notice in full. 3. No changes may be made to the wording of the Standards and Guidelines including commentary, tables or diagrams. Excerpts from the Standards and Guidelines may be used. References and acknowledgments must be maintained in any reproduction or copy in full or part of the Standards and Guidelines. Apart from any use as permitted under the Copyright Act 1968 or as set out above, all other rights are reserved. Requests and inquiries concerning reproduction and rights should be addressed to RCPA, 207 Albion St, Surry Hills, NSW 2010, Australia. This material contains content from LOINC® (http://loinc.org). The LOINC table, LOINC codes, LOINC panels and forms file, LOINC linguistic variants file, LOINC/RSNA Radiology Playbook, and LOINC/IEEE Medical Device Code Mapping Table are copyright © 1995-2016, Regenstrief Institute, Inc. and the Logical Observation Identifiers Names and Codes (LOINC) Committee and is available at no cost under the license at http://loinc.org/terms-of-use.” This material includes SNOMED Clinical Terms® (SNOMED CT®) which is used by permission of the International Health Terminology Standards Development Organisation (IHTSDO®).
    [Show full text]
  • Mechanisms of Up-Regulation of Ubiquitin-Proteasome Activity in The
    bioRxiv preprint doi: https://doi.org/10.1101/2020.03.23.003053; this version posted March 23, 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. Mechanisms of up-regulation of Ubiquitin-Proteasome activity in the absence of NatA dependent N-terminal acetylation Ilia Kats1,2, Marc Kschonsak1,3, Anton Khmelinskii4, Laura Armbruster1,5, Thomas Ruppert1 and Michael Knop1,6,* 1 Zentrum für Molekulare Biologie der Universität Heidelberg (ZMBH), DKFZ-ZMBH Alliance, Im Neuenheimer Feld 282, 69120 Heidelberg, Germany. 2 present address: German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany 3 present address: Department of Structural Biology, Genentech Inc., South San Francisco, CA, USA. 4 Institute of Molecular Biology (IMB), Ackermannweg 4, 55128 Mainz, Germany. 5 present address: Centre for Organismal Studies (COS), Im Neuenheimer Feld 360, 69120 Heidelberg, Germany 6 Deutsches Krebsforschungszentrum (DKFZ), DKFZ-ZMBH Alliance, Im Neuenheimer Feld 280, 69120 Heidelberg, Germany. * corresponding author: [email protected] Abstract N-terminal acetylation is a prominent protein modification and inactivation of N-terminal acetyltransferases (NATs) cause protein homeostasis stress. Using multiplexed protein stability (MPS) profiling with linear ubiquitin fusions as reporters for the activity of the ubiquitin proteasome system (UPS) we observed increased UPS activity in NatA, but not NatB or NatC mutants. We find several mechanisms contributing to this behavior. First, NatA-mediated acetylation of the N-terminal ubiquitin independent degron regulates the abundance of Rpn4, the master regulator of the expression of proteasomal genes.
    [Show full text]
  • The Mouse Genome Database: Integration of and Access to Knowledge About the Laboratory Mouse Judith A
    D810–D817 Nucleic Acids Research, 2014, Vol. 42, Database issue Published online 26 November 2013 doi:10.1093/nar/gkt1225 The Mouse Genome Database: integration of and access to knowledge about the laboratory mouse Judith A. Blake*, Carol J. Bult, Janan T. Eppig, James A. Kadin and Joel E. Richardson The Mouse Genome Database Groupy Bioinformatics and Computational Biology, The Jackson Laboratory, 600 Main Street, Bar Harbor, ME 04609, USA Received October 1, 2013; Revised November 4, 2013; Accepted November 5, 2013 ABSTRACT genes and as a comprehensive data integration site and repository for mouse genetic, genomic and phenotypic The Mouse Genome Database (MGD) (http://www. data derived from primary literature as well as from informatics.jax.org) is the community model major data providers (1,2). organism database resource for the laboratory The central mission of the MGD is to support the trans- mouse, a premier animal model for the study of lation of information from experimental mouse models to genetic and genomic systems relevant to human uncover the genetic basis of human diseases. As a highly biology and disease. MGD maintains a comprehen- curated and comprehensive model organism database, sive catalog of genes, functional RNAs and other MGD provides web and programmatic access to a genome features as well as heritable phenotypes complete catalog of mouse genes and genome features and quantitative trait loci. The genome feature including genomic sequence and variant information. catalog is generated by the integration of computa- MGD curates and maintains the comprehensive listing of functional annotations for mouse genes using Gene tional and manual genome annotations generated Ontology (GO) terms and contributes to the development by NCBI, Ensembl and Vega/HAVANA.
    [Show full text]
  • Population-Haplotype Models for Mapping and Tagging Structural Variation Using Whole Genome Sequencing
    Population-haplotype models for mapping and tagging structural variation using whole genome sequencing Eleni Loizidou Submitted in part fulfilment of the requirements for the degree of Doctor of Philosophy Section of Genomics of Common Disease Department of Medicine Imperial College London, 2018 1 Declaration of originality I hereby declare that the thesis submitted for a Doctor of Philosophy degree is based on my own work. Proper referencing is given to the organisations/cohorts I collaborated with during the project. 2 Copyright Declaration The copyright of this thesis rests with the author and is made available under a Creative Commons Attribution Non-Commercial No Derivatives licence. Researchers are free to copy, distribute or transmit the thesis on the condition that they attribute it, that they do not use it for commercial purposes and that they do not alter, transform or build upon it. For any reuse or redistribution, researchers must make clear to others the licence terms of this work 3 Abstract The scientific interest in copy number variation (CNV) is rapidly increasing, mainly due to the evidence of phenotypic effects and its contribution to disease susceptibility. Single nucleotide polymorphisms (SNPs) which are abundant in the human genome have been widely investigated in genome-wide association studies (GWAS). Despite the notable genomic effects both CNVs and SNPs have, the correlation between them has been relatively understudied. In the past decade, next generation sequencing (NGS) has been the leading high-throughput technology for investigating CNVs and offers mapping at a high-quality resolution. We created a map of NGS-defined CNVs tagged by SNPs using the 1000 Genomes Project phase 3 (1000G) sequencing data to examine patterns between the two types of variation in protein-coding genes.
    [Show full text]