Defining Human ERAD Networks Through an Integrative Mapping Strategy
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CD29 Identifies IFN-Γ–Producing Human CD8+ T Cells With
+ CD29 identifies IFN-γ–producing human CD8 T cells with an increased cytotoxic potential Benoît P. Nicoleta,b, Aurélie Guislaina,b, Floris P. J. van Alphenc, Raquel Gomez-Eerlandd, Ton N. M. Schumacherd, Maartje van den Biggelaarc,e, and Monika C. Wolkersa,b,1 aDepartment of Hematopoiesis, Sanquin Research, 1066 CX Amsterdam, The Netherlands; bLandsteiner Laboratory, Oncode Institute, Amsterdam University Medical Center, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands; cDepartment of Research Facilities, Sanquin Research, 1066 CX Amsterdam, The Netherlands; dDivision of Molecular Oncology and Immunology, Oncode Institute, The Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands; and eDepartment of Molecular and Cellular Haemostasis, Sanquin Research, 1066 CX Amsterdam, The Netherlands Edited by Anjana Rao, La Jolla Institute for Allergy and Immunology, La Jolla, CA, and approved February 12, 2020 (received for review August 12, 2019) Cytotoxic CD8+ T cells can effectively kill target cells by producing therefore developed a protocol that allowed for efficient iso- cytokines, chemokines, and granzymes. Expression of these effector lation of RNA and protein from fluorescence-activated cell molecules is however highly divergent, and tools that identify and sorting (FACS)-sorted fixed T cells after intracellular cytokine + preselect CD8 T cells with a cytotoxic expression profile are lacking. staining. With this top-down approach, we performed an un- + Human CD8 T cells can be divided into IFN-γ– and IL-2–producing biased RNA-sequencing (RNA-seq) and mass spectrometry cells. Unbiased transcriptomics and proteomics analysis on cytokine- γ– – + + (MS) analyses on IFN- and IL-2 producing primary human producing fixed CD8 T cells revealed that IL-2 cells produce helper + + + CD8 Tcells. -
Physical and Linkage Mapping of Mammary-Derived Expressed Sequence Tags in Cattle
Genomics 83 (2004) 148–152 www.elsevier.com/locate/ygeno Physical and linkage mapping of mammary-derived expressed sequence tags in cattle E.E. Connor,a,* T.S. Sonstegard,a J.W. Keele,b G.L. Bennett,b J.L. Williams,c R. Papworth,c C.P. Van Tassell,a and M.S. Ashwella a U.S. Beltsville Agricultural Research Center, ARS, U.S. Department of Agriculture, 10300 Baltimore Avenue, Beltsville, MD 20705, USA b U.S. Meat Animal Research Center, ARS, U.S. Department of Agriculture, P.O. Box 166, Clay Center, NE 68933-0166, USA c Roslin Institute (Edinburgh), Roslin, Midlothian EH25 9PS, Scotland, United Kingdom Received 2 June 2003; accepted 5 July 2003 Abstract This study describes the physical and linkage mapping of 42 gene-associated markers developed from mammary gland-derived expressed sequence tags to the cattle genome. Of the markers, 25 were placed on the USDA reference linkage map and 37 were positioned on the Roslin 3000-rad radiation hybrid (RH) map, with 20 assignments shared between the maps. Although no novel regions of conserved synteny between the cattle and the human genomes were identified, the coverage was extended for bovine chromosomes 3, 7, 15, and 29 compared with previously published comparative maps between human and bovine genomes. Overall, these data improve the resolution of the human–bovine comparative maps and will assist future efforts to integrate bovine RH and linkage map data. Crown Copyright D 2003 Published by Elsevier Inc. All rights reserved. Keywords: RH mapping; Linkage mapping; SNP; Cattle; EST Selection of positional candidate genes controlling eco- pig [4,5], and cattle [6], and serve as a resource for nomically important traits in cattle requires a detailed candidate gene identification. -
(P -Value<0.05, Fold Change≥1.4), 4 Vs. 0 Gy Irradiation
Table S1: Significant differentially expressed genes (P -Value<0.05, Fold Change≥1.4), 4 vs. 0 Gy irradiation Genbank Fold Change P -Value Gene Symbol Description Accession Q9F8M7_CARHY (Q9F8M7) DTDP-glucose 4,6-dehydratase (Fragment), partial (9%) 6.70 0.017399678 THC2699065 [THC2719287] 5.53 0.003379195 BC013657 BC013657 Homo sapiens cDNA clone IMAGE:4152983, partial cds. [BC013657] 5.10 0.024641735 THC2750781 Ciliary dynein heavy chain 5 (Axonemal beta dynein heavy chain 5) (HL1). 4.07 0.04353262 DNAH5 [Source:Uniprot/SWISSPROT;Acc:Q8TE73] [ENST00000382416] 3.81 0.002855909 NM_145263 SPATA18 Homo sapiens spermatogenesis associated 18 homolog (rat) (SPATA18), mRNA [NM_145263] AA418814 zw01a02.s1 Soares_NhHMPu_S1 Homo sapiens cDNA clone IMAGE:767978 3', 3.69 0.03203913 AA418814 AA418814 mRNA sequence [AA418814] AL356953 leucine-rich repeat-containing G protein-coupled receptor 6 {Homo sapiens} (exp=0; 3.63 0.0277936 THC2705989 wgp=1; cg=0), partial (4%) [THC2752981] AA484677 ne64a07.s1 NCI_CGAP_Alv1 Homo sapiens cDNA clone IMAGE:909012, mRNA 3.63 0.027098073 AA484677 AA484677 sequence [AA484677] oe06h09.s1 NCI_CGAP_Ov2 Homo sapiens cDNA clone IMAGE:1385153, mRNA sequence 3.48 0.04468495 AA837799 AA837799 [AA837799] Homo sapiens hypothetical protein LOC340109, mRNA (cDNA clone IMAGE:5578073), partial 3.27 0.031178378 BC039509 LOC643401 cds. [BC039509] Homo sapiens Fas (TNF receptor superfamily, member 6) (FAS), transcript variant 1, mRNA 3.24 0.022156298 NM_000043 FAS [NM_000043] 3.20 0.021043295 A_32_P125056 BF803942 CM2-CI0135-021100-477-g08 CI0135 Homo sapiens cDNA, mRNA sequence 3.04 0.043389246 BF803942 BF803942 [BF803942] 3.03 0.002430239 NM_015920 RPS27L Homo sapiens ribosomal protein S27-like (RPS27L), mRNA [NM_015920] Homo sapiens tumor necrosis factor receptor superfamily, member 10c, decoy without an 2.98 0.021202829 NM_003841 TNFRSF10C intracellular domain (TNFRSF10C), mRNA [NM_003841] 2.97 0.03243901 AB002384 C6orf32 Homo sapiens mRNA for KIAA0386 gene, partial cds. -
Inaugural-Dissertation Zur Erlangung Der Doktorwürde Der Naturwissenschaftlich-Mathematischen Gesamtfakultät Der Ruprecht-Kar
Inaugural-Dissertation zur Erlangung der Doktorwürde der Naturwissenschaftlich-Mathematischen Gesamtfakultät der Ruprecht-Karls-Universität Heidelberg vorgelegt von Diplom-Biochemiker Stefan Knoth Tag der mündlichen Prüfung: 25.07.2006 Titel der Arbeit: Regulation der Genexpression bei der Erythroiden Differenzierung Gutachter: Prof. Dr. Stefan Wölfl, Universität Heidelberg Prof. Dr. Katharina Pachmann, Universität Jena Prof. Dr. Jürgen Reichling Prof. Dr. Ulrich Hilgenfeldt Zusammenfassung Viele Erkrankungen des blutbildenden Systems, insbesondere Leukämien, haben ihre Ursache in einer Störung der Differenzierungvorgänge, die ausgehend von undifferenzierten Stammzellen des Knochenmarks zu allen Arten von hochspezialisierten Blutzellen führen. Bei der Chronischen Myeloischen Leukämie (CML) im Stadium der Blastenkrise kommt es zu einer unkontrollierten Vermehrung unreifer Blasten. Alle Chronischen Myeloischen Leukämien exprimieren dass Fusionsprotein BCR-ABL welches aus der Translokation t(9;22)(q34;q11) resultiert. BCR-ABL ist eine konstitutiv aktive Proteinkinase und stimuliert die Zellen zu unkontrolliertem Wachstum. Es ist bekannt, dass sich bei transformierten Zellen mit verschiedenen Substanzen wie AraC oder Butyrat die Proliferation unterdrücken und eine weitere Differenzierung induzieren lässt. Daher werden diese Substanzen oder ihre Derivate als Therapeutika eingesetzt bzw. als solche erprobt. Bei CML-Zellen geht man davon aus, dass durch die genannten Chemikalien die Differenzierung in Richtung der erythroiden Reihe stimuliert wird, da verstärkt Hämoglobine synthetisiert werden. Wegen ihrer einfachen Handhabung in Kultur wurden diese Zellsysteme in der Vergangenheit häufig als Modelle zur Untersuchung der erythroiden Differenzierung verwendet. Die therapeutikastimulierte erythroide Differenzierung von CML-Zellen ist also in zweierlei Hinsicht interessant, einerseits aus medizinischer Sicht zur Bewertung der Vorgänge im behandelten Patienten und andererseits hinsichtlich der Eignung dieser Systeme als Modelle zur Erforschung der Erythropoese. -
Ubiquitin-Dependent Regulation of the WNT Cargo Protein EVI/WLS Handelt Es Sich Um Meine Eigenständig Erbrachte Leistung
DISSERTATION submitted to the Combined Faculty of Natural Sciences and Mathematics of the Ruperto-Carola University of Heidelberg, Germany for the degree of Doctor of Natural Sciences presented by Lucie Magdalena Wolf, M.Sc. born in Nuremberg, Germany Date of oral examination: 2nd February 2021 Ubiquitin-dependent regulation of the WNT cargo protein EVI/WLS Referees: Prof. Dr. Michael Boutros apl. Prof. Dr. Viktor Umansky If you don’t think you might, you won’t. Terry Pratchett This work was accomplished from August 2015 to November 2020 under the supervision of Prof. Dr. Michael Boutros in the Division of Signalling and Functional Genomics at the German Cancer Research Center (DKFZ), Heidelberg, Germany. Contents Contents ......................................................................................................................... ix 1 Abstract ....................................................................................................................xiii 1 Zusammenfassung .................................................................................................... xv 2 Introduction ................................................................................................................ 1 2.1 The WNT signalling pathways and cancer ........................................................................ 1 2.1.1 Intercellular communication ........................................................................................ 1 2.1.2 WNT ligands are conserved morphogens ................................................................. -
Supplementary Materials and Tables a and B
SUPPLEMENTARY MATERIAL 1 Table A. Main characteristics of the subset of 23 AML patients studied by high-density arrays (subset A) WBC BM blasts MYST3- MLL Age/Gender WHO / FAB subtype Karyotype FLT3-ITD NPM status (x109/L) (%) CREBBP status 1 51 / F M4 NA 21 78 + - G A 2 28 / M M4 t(8;16)(p11;p13) 8 92 + - G G 3 53 / F M4 t(8;16)(p11;p13) 27 96 + NA G NA 4 24 / M PML-RARα / M3 t(15;17) 5 90 - - G G 5 52 / M PML-RARα / M3 t(15;17) 1.5 75 - - G G 6 31 / F PML-RARα / M3 t(15;17) 3.2 89 - - G G 7 23 / M RUNX1-RUNX1T1 / M2 t(8;21) 38 34 - + ND G 8 52 / M RUNX1-RUNX1T1 / M2 t(8;21) 8 68 - - ND G 9 40 / M RUNX1-RUNX1T1 / M2 t(8;21) 5.1 54 - - ND G 10 63 / M CBFβ-MYH11 / M4 inv(16) 297 80 - - ND G 11 63 / M CBFβ-MYH11 / M4 inv(16) 7 74 - - ND G 12 59 / M CBFβ-MYH11 / M0 t(16;16) 108 94 - - ND G 13 41 / F MLLT3-MLL / M5 t(9;11) 51 90 - + G R 14 38 / F M5 46, XX 36 79 - + G G 15 76 / M M4 46 XY, der(10) 21 90 - - G NA 16 59 / M M4 NA 29 59 - - M G 17 26 / M M5 46, XY 295 92 - + G G 18 62 / F M5 NA 67 88 - + M A 19 47 / F M5 del(11q23) 17 78 - + M G 20 50 / F M5 46, XX 61 59 - + M G 21 28 / F M5 46, XX 132 90 - + G G 22 30 / F AML-MD / M5 46, XX 6 79 - + M G 23 64 / M AML-MD / M1 46, XY 17 83 - + M G WBC: white blood cell. -
Mclean, Chelsea.Pdf
COMPUTATIONAL PREDICTION AND EXPERIMENTAL VALIDATION OF NOVEL MOUSE IMPRINTED GENES A Dissertation Presented to the Faculty of the Graduate School of Cornell University In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy by Chelsea Marie McLean August 2009 © 2009 Chelsea Marie McLean COMPUTATIONAL PREDICTION AND EXPERIMENTAL VALIDATION OF NOVEL MOUSE IMPRINTED GENES Chelsea Marie McLean, Ph.D. Cornell University 2009 Epigenetic modifications, including DNA methylation and covalent modifications to histone tails, are major contributors to the regulation of gene expression. These changes are reversible, yet can be stably inherited, and may last for multiple generations without change to the underlying DNA sequence. Genomic imprinting results in expression from one of the two parental alleles and is one example of epigenetic control of gene expression. So far, 60 to 100 imprinted genes have been identified in the human and mouse genomes, respectively. Identification of additional imprinted genes has become increasingly important with the realization that imprinting defects are associated with complex disorders ranging from obesity to diabetes and behavioral disorders. Despite the importance imprinted genes play in human health, few studies have undertaken genome-wide searches for new imprinted genes. These have used empirical approaches, with some success. However, computational prediction of novel imprinted genes has recently come to the forefront. I have developed generalized linear models using data on a variety of sequence and epigenetic features within a training set of known imprinted genes. The resulting models were used to predict novel imprinted genes in the mouse genome. After imposing a stringency threshold, I compiled an initial candidate list of 155 genes. -
Proteomic Analysis of Monolayer-Integrated Proteins on Lipid Droplets Identifies Amphipathic Interfacial Α-Helical Membrane Anchors
Proteomic analysis of monolayer-integrated proteins on lipid droplets identifies amphipathic interfacial α-helical membrane anchors Camille I. Patakia, João Rodriguesb, Lichao Zhangc, Junyang Qiand, Bradley Efrond, Trevor Hastied, Joshua E. Eliasc, Michael Levittb, and Ron R. Kopitoe,1 aDepartment of Biochemistry, Stanford University, Stanford, CA 94305; bDepartment of Structural Biology, Stanford University, Stanford, CA 94305; cDepartment of Chemical and Systems Biology, Stanford University, Stanford, CA 94305; dDepartment of Statistics, Stanford University, Stanford, CA 94305; and eDepartment of Biology, Stanford University, Stanford, CA 94305 Edited by Jennifer Lippincott-Schwartz, Howard Hughes Medical Institute, Ashburn, VA, and approved July 23, 2018 (received for review May 9, 2018) Despite not spanning phospholipid bilayers, monotopic integral The first step in understanding the structural diversity of proteins (MIPs) play critical roles in organizing biochemical reac- monotopic HMDs is to identify a sufficiently large set of proteins tions on membrane surfaces. Defining the structural basis by with unequivocal monotopic topology. In this study, we exploited which these proteins are anchored to membranes has been the fact that lipid droplets (LDs) are enveloped by phospholipid hampered by the paucity of unambiguously identified MIPs and a monolayers that separate a highly hydrophobic lipid core from lack of computational tools that accurately distinguish monolayer- the aqueous cytoplasm (8). Because TMDs are flanked on both integrating motifs from bilayer-spanning transmembrane domains ends by soluble, hydrophilic domains, bilayer-spanning proteins (TMDs). We used quantitative proteomics and statistical modeling are strongly disfavored from integrating into the monolayer to identify 87 high-confidence candidate MIPs in lipid droplets, membranes of LDs. -
Murine Surf4 Is Essential for Early Embryonic Development
Washington University School of Medicine Digital Commons@Becker Open Access Publications 1-1-2020 Murine Surf4 is essential for early embryonic development Brian T. Emmer Paul J. Lascuna Vi T. Tang Emilee N. Kotnik Thomas L. Saunders See next page for additional authors Follow this and additional works at: https://digitalcommons.wustl.edu/open_access_pubs Authors Brian T. Emmer, Paul J. Lascuna, Vi T. Tang, Emilee N. Kotnik, Thomas L. Saunders, Rami Khoriaty, and David Ginsburg RESEARCH ARTICLE Murine Surf4 is essential for early embryonic development 1,2 2 2,3 2¤ Brian T. EmmerID , Paul J. Lascuna , Vi T. Tang , Emilee N. KotnikID , Thomas 1,4,5 1,5,6,7 1,2,5,6,8,9,10 L. SaundersID , Rami Khoriaty , David Ginsburg * 1 Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan, 2 Life Sciences Institute, University of Michigan, Ann Arbor, Michigan, 3 Department of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan, 4 Transgenic Animal Model Core Laboratory, University of Michigan, Ann Arbor, Michigan, 5 University of Michigan Rogel Cancer Center, Ann Arbor, Michigan, a1111111111 6 Cellular and Molecular Biology Program, University of Michigan, Ann Arbor, Michigan, 7 Department of Cell a1111111111 and Developmental Biology, University of Michigan, Ann Arbor, Michigan, 8 Department of Human Genetics, University of Michigan, Ann Arbor, Michigan, 9 Department of Pediatrics, University of Michigan, Ann Arbor, a1111111111 Michigan, 10 Howard Hughes Medical Institute, University of Michigan, Ann Arbor, Michigan a1111111111 a1111111111 ¤ Current address: Molecular Genetics and Genomics Program, Washington University in St. Louis, St. Louis, Missouri * [email protected] OPEN ACCESS Abstract Citation: Emmer BT, Lascuna PJ, Tang VT, Kotnik EN, Saunders TL, Khoriaty R, et al. -
1 Novel Expression Signatures Identified by Transcriptional Analysis
ARD Online First, published on October 7, 2009 as 10.1136/ard.2009.108043 Ann Rheum Dis: first published as 10.1136/ard.2009.108043 on 7 October 2009. Downloaded from Novel expression signatures identified by transcriptional analysis of separated leukocyte subsets in SLE and vasculitis 1Paul A Lyons, 1Eoin F McKinney, 1Tim F Rayner, 1Alexander Hatton, 1Hayley B Woffendin, 1Maria Koukoulaki, 2Thomas C Freeman, 1David RW Jayne, 1Afzal N Chaudhry, and 1Kenneth GC Smith. 1Cambridge Institute for Medical Research and Department of Medicine, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 0XY, UK 2Roslin Institute, University of Edinburgh, Roslin, Midlothian, EH25 9PS, UK Correspondence should be addressed to Dr Paul Lyons or Prof Kenneth Smith, Department of Medicine, Cambridge Institute for Medical Research, Addenbrooke’s Hospital, Hills Road, Cambridge, CB2 0XY, UK. Telephone: +44 1223 762642, Fax: +44 1223 762640, E-mail: [email protected] or [email protected] Key words: Gene expression, autoimmune disease, SLE, vasculitis Word count: 2,906 The Corresponding Author has the right to grant on behalf of all authors and does grant on behalf of all authors, an exclusive licence (or non-exclusive for government employees) on a worldwide basis to the BMJ Publishing Group Ltd and its Licensees to permit this article (if accepted) to be published in Annals of the Rheumatic Diseases and any other BMJPGL products to exploit all subsidiary rights, as set out in their licence (http://ard.bmj.com/ifora/licence.pdf). http://ard.bmj.com/ on September 29, 2021 by guest. Protected copyright. 1 Copyright Article author (or their employer) 2009. -
Positive Natural Selection in the Human Lineage REVIEW
REVIEW limited power to detect individual incidents of selection, whereas studies based on human genetic variation have suffered from difficulties Positive Natural Selection in the with assessing statistical significance. The evi- dence for positive selection has traditionally been evaluated by comparison with expecta- Human Lineage tions under standard population genetic models, but the model parameters (especially those re- P. C. Sabeti,1,2* S. F. Schaffner,1*† B. Fry,1 J. Lohmueller,1,3 P. Varilly,1 O. Shamovsky,1 lating to population history) have been poorly A. Palma,1 T. S. Mikkelsen,1 D. Altshuler,1,4,5 E. S. Lander1,6,7,8 constrained by available data, leading to large uncertainties in model predictions. One solution Positive natural selection is the force that drives the increase in prevalence of advantageous traits, would be to assess significance by comparing and it has played a central role in our development as a species. Until recently, the study of natural empirical results from different studies, but selection in humans has largely been restricted to comparing individual candidate genes to this has been challenging because of the varied theoretical expectations. The advent of genome-wide sequence and polymorphism data brings statistical tests, sizes of genomic region, and fundamental new tools to the study of natural selection. It is now possible to identify new population samples used (see table S2 for candidates for selection and to reevaluate previous claims by comparison with empirical examples). distributions of DNA sequence variation across the human genome and among populations. The The advent of whole-genome sequencing flood of data and analytical methods, however, raises many new challenges. -
A General Role for MIA3/TANGO1 in Secretory Pathway Organization and Function
© 2021. Published by The Company of Biologists Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by /4.0), which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. A general role for MIA3/TANGO1 in secretory pathway organization and function Janine McCaughey1†, Nicola L. Stevenson1, Judith M. Mantell2, Chris R. Neal2, Alex Paterson3, Kate Heesom4, and David J. Stephens1* 1Cell Biology Laboratories, School of Biochemistry, Faculty of Life Sciences, University Walk, University of Bristol, Bristol, BS8 1TD, UK. 2Wolfson Bioimaging Facility, Faculty of Life Sciences, University Walk, University of Bristol, Bristol, BS8 1TD, UK. 3 In Silico Consulting, Winchester, UK. 4Proteomics Facility, Faculty of Life Sciences, University Walk, University of Bristol, Bristol, BS8 1TD, UK. *Correspondence to: [email protected]. †Current address: Utrecht University, Kruytgebouw, Padualaan 8, 3584 CH Utrecht, The Netherlands ORCID: JM: 0000-0001-7709-2597 NS: 0000-0001-8967-7277 JMM: 0000-0002-9061-8933 CRN: 0000-0001-6604-280X AP: 0000-0003-3025-8347 KH: 0000-0002-5418-5392 DJS: 0000-0001-5297-3240 Keywords: Secretory pathway, COPII, collagen, Golgi, TANGO1, ERGIC Summary statement: TANGO1 is required to maintain the fundamental organization of the early secretory pathway in mammalian cells to support secretion of a diverse range of newly synthesized cargo proteins. Abstract Complex machinery is required to drive secretory cargo export from the endoplasmic reticulum, an essential process in eukaryotic cells. In vertebrates, the Mia3 gene encodes two major forms of Transport ANd Golgi Organization Protein 1 (TANGO1S and TANGO1L), previously implicated in selective trafficking of procollagen.