Identification of the Long, Edited Dsrnaome of LPS-Stimulated Immune Cells
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Final Copy 2018 09 25 Gaunt
This electronic thesis or dissertation has been downloaded from Explore Bristol Research, http://research-information.bristol.ac.uk Author: Gaunt, Jess Title: A Viral Approach to Translatome Profiling of CA1 Neurons During Associative Recognition Memory Formation General rights Access to the thesis is subject to the Creative Commons Attribution - NonCommercial-No Derivatives 4.0 International Public License. A copy of this may be found at https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode This license sets out your rights and the restrictions that apply to your access to the thesis so it is important you read this before proceeding. Take down policy Some pages of this thesis may have been removed for copyright restrictions prior to having it been deposited in Explore Bristol Research. However, if you have discovered material within the thesis that you consider to be unlawful e.g. breaches of copyright (either yours or that of a third party) or any other law, including but not limited to those relating to patent, trademark, confidentiality, data protection, obscenity, defamation, libel, then please contact [email protected] and include the following information in your message: •Your contact details •Bibliographic details for the item, including a URL •An outline nature of the complaint Your claim will be investigated and, where appropriate, the item in question will be removed from public view as soon as possible. A Viral Approach to Translatome Profiling of CA1 Neurons During Associative Recognition Memory Formation Jessica Ruth Gaunt A dissertation submitted to the University of Bristol in accordance with the requirements for award of the degree of Doctor of Philosophy in the Faculty of Health Sciences, Bristol Medical School. -
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. -
Supplementary Table 3 Complete List of RNA-Sequencing Analysis of Gene Expression Changed by ≥ Tenfold Between Xenograft and Cells Cultured in 10%O2
Supplementary Table 3 Complete list of RNA-Sequencing analysis of gene expression changed by ≥ tenfold between xenograft and cells cultured in 10%O2 Expr Log2 Ratio Symbol Entrez Gene Name (culture/xenograft) -7.182 PGM5 phosphoglucomutase 5 -6.883 GPBAR1 G protein-coupled bile acid receptor 1 -6.683 CPVL carboxypeptidase, vitellogenic like -6.398 MTMR9LP myotubularin related protein 9-like, pseudogene -6.131 SCN7A sodium voltage-gated channel alpha subunit 7 -6.115 POPDC2 popeye domain containing 2 -6.014 LGI1 leucine rich glioma inactivated 1 -5.86 SCN1A sodium voltage-gated channel alpha subunit 1 -5.713 C6 complement C6 -5.365 ANGPTL1 angiopoietin like 1 -5.327 TNN tenascin N -5.228 DHRS2 dehydrogenase/reductase 2 leucine rich repeat and fibronectin type III domain -5.115 LRFN2 containing 2 -5.076 FOXO6 forkhead box O6 -5.035 ETNPPL ethanolamine-phosphate phospho-lyase -4.993 MYO15A myosin XVA -4.972 IGF1 insulin like growth factor 1 -4.956 DLG2 discs large MAGUK scaffold protein 2 -4.86 SCML4 sex comb on midleg like 4 (Drosophila) Src homology 2 domain containing transforming -4.816 SHD protein D -4.764 PLP1 proteolipid protein 1 -4.764 TSPAN32 tetraspanin 32 -4.713 N4BP3 NEDD4 binding protein 3 -4.705 MYOC myocilin -4.646 CLEC3B C-type lectin domain family 3 member B -4.646 C7 complement C7 -4.62 TGM2 transglutaminase 2 -4.562 COL9A1 collagen type IX alpha 1 chain -4.55 SOSTDC1 sclerostin domain containing 1 -4.55 OGN osteoglycin -4.505 DAPL1 death associated protein like 1 -4.491 C10orf105 chromosome 10 open reading frame 105 -4.491 -
Noelia Díaz Blanco
Effects of environmental factors on the gonadal transcriptome of European sea bass (Dicentrarchus labrax), juvenile growth and sex ratios Noelia Díaz Blanco Ph.D. thesis 2014 Submitted in partial fulfillment of the requirements for the Ph.D. degree from the Universitat Pompeu Fabra (UPF). This work has been carried out at the Group of Biology of Reproduction (GBR), at the Department of Renewable Marine Resources of the Institute of Marine Sciences (ICM-CSIC). Thesis supervisor: Dr. Francesc Piferrer Professor d’Investigació Institut de Ciències del Mar (ICM-CSIC) i ii A mis padres A Xavi iii iv Acknowledgements This thesis has been made possible by the support of many people who in one way or another, many times unknowingly, gave me the strength to overcome this "long and winding road". First of all, I would like to thank my supervisor, Dr. Francesc Piferrer, for his patience, guidance and wise advice throughout all this Ph.D. experience. But above all, for the trust he placed on me almost seven years ago when he offered me the opportunity to be part of his team. Thanks also for teaching me how to question always everything, for sharing with me your enthusiasm for science and for giving me the opportunity of learning from you by participating in many projects, collaborations and scientific meetings. I am also thankful to my colleagues (former and present Group of Biology of Reproduction members) for your support and encouragement throughout this journey. To the “exGBRs”, thanks for helping me with my first steps into this world. Working as an undergrad with you Dr. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
And SPP-Like Proteases☆
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Elsevier - Publisher Connector Biochimica et Biophysica Acta 1828 (2013) 2828–2839 Contents lists available at ScienceDirect Biochimica et Biophysica Acta journal homepage: www.elsevier.com/locate/bbamem Review Mechanism, specificity, and physiology of signal peptide peptidase (SPP) and SPP-like proteases☆ Matthias Voss a, Bernd Schröder c, Regina Fluhrer a,b,⁎ a Adolf Butenandt Institute for Biochemistry, Ludwig-Maximilians University Munich, Schillerstr. 44, 80336 Munich, Germany b DZNE — German Center for Neurodegenerative Diseases, Munich, Schillerstr. 44, 80336 Munich, Germany c Biochemical Institute, Christian-Albrechts-University Kiel, Olshausenstrasse 40, 24118 Kiel, Germany article info abstract Article history: Signal peptide peptidase (SPP) and the homologous SPP-like (SPPL) proteases SPPL2a, SPPL2b, SPPL2c and Received 27 December 2012 SPPL3 belong to the family of GxGD intramembrane proteases. SPP/SPPLs selectively cleave transmembrane Received in revised form 25 March 2013 domains in type II orientation and do not require additional co-factors for proteolytic activity. Orthologues of Accepted 29 March 2013 SPP and SPPLs have been identified in other vertebrates, plants, and eukaryotes. In line with their diverse subcellular localisations ranging from the ER (SPP, SPPL2c), the Golgi (SPPL3), the plasma membrane Keywords: (SPPL2b) to lysosomes/late endosomes (SPPL2a), the different members of the SPP/SPPL family seem to Regulated intramembrane proteolysis fi Intramembrane-cleaving proteases exhibit distinct functions. Here, we review the substrates of these proteases identi ed to date as well as GxGD proteases the current state of knowledge about the physiological implications of these proteolytic events as deduced Signal peptide peptidase from in vivo studies. -
Supplemental Material 1
SUP. FIGURE S1 DAPI NFAT Merge DMSO Ac5SGlcNAc Figure S1. Inhibition of OGT does not prevent nuclear translocation of NFAT. Jurkat cells !"#$%&'()*+(!!,-.'/012"#..(3'4056'7(+('"+(#"(3'7,"8'9:';<'5=29>/%=45='?+'@<>A'B?+'CD' 8+!E''F(%%!'7(+('"8(-'*%#"(3'?-'#-",2F@GHF@ID2=?#"(3'=?J(+!%,*!'B?+'G:'K,-!E''5B"(+'B,)#",?-L' =(%%!'7(+('#-#%&M(3'$&'=?-B?=#%'K,=+?!=?*&E SUP. FIGURE S2 Labeled Unlabeled Labeled Unlabeled 1h 18h Az PEG 1h 19h Az PEG !"#$%"#&'( + + + + !"#$%"#&'( + + + + 110 EWSR1 160 *34+&5 80 &,/ 160 )*+-2$ 160 110 )*+,& 80 60 &,/ 160 110 80 0"1"- RUNX1 110 80 60 60 50 160 SP1 160 110 ELF1 110 80 160 NUP98 110 80 )*+&-. &,/ Figure S2. PEG mass tags allow visualization of OGlcNAc stoichiometry. 5K PEG mass tags were affixed to OGlcNAc groups on proteins from control or activated T cells via enzy matic labeling with azide and copperfree click chemistry. Proteins were then analyzed for shifts in electrophoretic mobility by immunoblot. For the unlabeled control samples, either the azide (Az) or PEG (PEG) reagent was omitted during the labeling procedure. Note that HCFC1 appears as multiple bands because the protein is expressed as a single polypeptide that under goes proteolytic processing. UBAP2L appears as two bands in the unlabeled control samples due to alternative splicing. Table S1. Details of 133 higher confidence and 81 lower confidence O-GlcNAc glycoproteins1. Confidence Uniprot ID Symbol Specificity Chi Higher P55265 ADAR 100% 9.11E-04 Higher Q09666 AHNAK 92% 2.36E-16 Higher Q8IWZ3 ANKHD1 100% 1.19E-03 Higher -
High-Throughput Behavioral Phenotyping in the Expanded Panel of BXD Recombinant Inbred Strains
Genes, Brain and Behavior (2010) 9: 129–159 © 2009 The Authors Journal compilation © 2009 Blackwell Publishing Ltd/International Behavioural and Neural Genetics Society High-throughput behavioral phenotyping in the expanded panel of BXD recombinant inbred strains V. M. Philip†,S.Duvvuru†,B.Gomero†, despair and related neurological phenomena; pain T. A. Ansah‡,C.D.Blaha§,M.N.Cook§, sensitivity; stress sensitivity; anxiety; hyperactivity and K. M. Hamre¶, W. R. Lariviere∗∗, sleep/wake cycles. All traits have been measured in D. B. Matthews††,‡‡,G.Mittleman§, both sexes in approximately 70 strains of the recently D. Goldowitz§§ andE.J.Chesler†,∗ expanded panel of BXD RI strains. Sex differences and heritability estimates were obtained for each trait, and a comparison of early (N = 32) and recent (N = 37) † Systems Genetics Group, Biosciences Division, Oak Ridge BXD RI lines was performed. Primary data are publicly ‡ National Laboratory, Oak Ridge TN, Department of available for heritability, sex difference and genetic Neurobiology and Neurotoxicology, Meharry Medical College, analyses using the MouseTrack database, and are also § Nashville, TN, Department of Psychology, The University of available in GeneNetwork.org for quantitative trait locus ¶ Memphis, Memphis, TN, Departments of Anatomy and (QTL) detection and genetic analysis of gene expression. Neurobiology, University of Tennessee Health Science Center, Together with the results of related studies, these data ** Memphis, TN, Departments of Anesthesiology and form a public resource -
Structure and Expression Analyses of SVA Elements in Relation to Functional Genes
pISSN 1598-866X eISSN 2234-0742 Genomics Inform 2013;11(3):142-148 G&I Genomics & Informatics http://dx.doi.org/10.5808/GI.2013.11.3.142 ORIGINAL ARTICLE Structure and Expression Analyses of SVA Elements in Relation to Functional Genes Yun-Jeong Kwon, Yuri Choi, Jungwoo Eo, Yu-Na Noh, Jeong-An Gim, Yi-Deun Jung, Ja-Rang Lee, Heui-Soo Kim* Department of Biological Sciences, College of Natural Sciences, Pusan National University, Busan 609-735, Korea SINE-VNTR-Alu (SVA) elements are present in hominoid primates and are divided into 6 subfamilies (SVA-A to SVA-F) and active in the human population. Using a bioinformatic tool, 22 SVA element-associated genes are identified in the human genome. In an analysis of genomic structure, SVA elements are detected in the 5′ untranslated region (UTR) of HGSNAT (SVA-B), MRGPRX3 (SVA-D), HYAL1 (SVA-F), TCHH (SVA-F), and ATXN2L (SVA-F) genes, while some elements are observed in the 3′UTR of SPICE1 (SVA-B), TDRKH (SVA-C), GOSR1 (SVA-D), BBS5 (SVA-D), NEK5 (SVA-D), ABHD2 (SVA-F), C1QTNF7 (SVA-F), ORC6L (SVA-F), TMEM69 (SVA-F), and CCDC137 (SVA-F) genes. They could contribute to exon extension or supplying poly A signals. LEPR (SVA-C), ALOX5 (SVA-D), PDS5B (SVA-D), and ABCA10 (SVA-F) genes also showed alternative transcripts by SVA exonization events. Dominant expression of HYAL1_SVA appeared in lung tissues, while HYAL1_noSVA showed ubiquitous expression in various human tissues. Expression of both transcripts (TDRKH_SVA and TDRKH_noSVA) of the TDRKH gene appeared to be ubiquitous. -
Genome-Wide Association Study Identifies 44 Independent Genomic Loci for Self-Reported Adult Hearing Difficulty in the UK Biobank Cohort
bioRxiv preprint doi: https://doi.org/10.1101/549071; this version posted February 14, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Genome-wide association study identifies 44 independent genomic loci for self-reported adult hearing difficulty in the UK Biobank cohort Helena RR. Wells1,2, Maxim B. Freidin1, Fatin N. Zainul Abidin2, Antony Payton3, Piers Dawes4, Kevin J. Munro4,5, Cynthia C. Morton4,5,6, David R. Moore4,7, #*Sally J Dawson2, #*Frances MK. Williams1 1Department of Twin Research and Genetic Epidemiology, School of Life Course Sciences, King's College London 2UCL Ear Institute, University College London 3Division of Informatics, Imaging & Data Sciences, The University of Manchester 4Manchester Centre for Audiology and Deafness, The University of Manchester 5Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre 6Departments of Obstetrics and Gynecology and of Pathology, Brigham and Women’s Hospital, Harvard Medical School 7Cincinnati Children's Hospital Medical Centre, Department of Otolaryngology, University of Cincinnati College of Medicine #Joint senior authors *Corresponding authors 1 bioRxiv preprint doi: https://doi.org/10.1101/549071; this version posted February 14, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Age-related hearing impairment (ARHI) is the most common sensory impairment in the aging population; a third of individuals are affected by disabling hearing loss by the age of 651. -
Genome-Wide Insights on Gastrointestinal Nematode
www.nature.com/scientificreports OPEN Genome‑wide insights on gastrointestinal nematode resistance in autochthonous Tunisian sheep A. M. Ahbara1,2, M. Rouatbi3,4, M. Gharbi3,4, M. Rekik1, A. Haile1, B. Rischkowsky1 & J. M. Mwacharo1,5* Gastrointestinal nematode (GIN) infections have negative impacts on animal health, welfare and production. Information from molecular studies can highlight the underlying genetic mechanisms that enhance host resistance to GIN. However, such information often lacks for traditionally managed indigenous livestock. Here, we analysed 600 K single nucleotide polymorphism genotypes of GIN infected and non‑infected traditionally managed autochthonous Tunisian sheep grazing communal natural pastures. Population structure analysis did not fnd genetic diferentiation that is consistent with infection status. However, by contrasting the infected versus non‑infected cohorts using ROH, LR‑GWAS, FST and XP‑EHH, we identifed 35 candidate regions that overlapped between at least two methods. Nineteen regions harboured QTLs for parasite resistance, immune capacity and disease susceptibility and, ten regions harboured QTLs for production (growth) and meat and carcass (fatness and anatomy) traits. The analysis also revealed candidate regions spanning genes enhancing innate immune defence (SLC22A4, SLC22A5, IL‑4, IL‑13), intestinal wound healing/repair (IL‑4, VIL1, CXCR1, CXCR2) and GIN expulsion (IL‑4, IL‑13). Our results suggest that traditionally managed indigenous sheep have evolved multiple strategies that evoke and enhance GIN resistance and developmental stability. They confrm the importance of obtaining information from indigenous sheep to investigate genomic regions of functional signifcance in understanding the architecture of GIN resistance. Small ruminants (sheep and goats) make immense socio-economic and cultural contributions across the globe. -
Identification of the Long, Edited Dsrnaome of LPS-Stimulated Immune Cells
Downloaded from genome.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press Identification of the long, edited dsRNAome of LPS-stimulated immune cells Matthew G. Blango and Brenda L. Bass* Department of Biochemistry, University of Utah, Salt Lake City, Utah 84112, USA * Correspondence: [email protected] Phone: 801-581-4884 Running title: dsRNAome of mammalian immune cells Keywords: dsRNA, RNA binding protein, ADAR, Inosine, RNA editing, LPS 1 Downloaded from genome.cshlp.org on October 1, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract Endogenous double-stranded RNA (dsRNA) must be intricately regulated in mammals to prevent aberrant activation of host inflammatory pathways by cytosolic dsRNA binding proteins. Here we define the long, endogenous dsRNA repertoire in mammalian macrophages and monocytes during the inflammatory response to bacterial lipopolysaccharide. Hyperediting by adenosine deaminases that act on RNA (ADAR) enzymes was quantified over time using RNA-seq data from activated mouse macrophages to identify 342 Editing Enriched Regions (EERs), indicative of highly structured dsRNA. Analysis of publicly available datasets for samples of human peripheral blood monocytes resulted in discovery of 3,438 EERs in the human transcriptome. Human EERs had predicted secondary structures that were significantly more stable than those of mouse EERs and were located primarily in introns, whereas nearly all mouse EERs were in 3’UTRs. Seventy-four mouse EER-associated genes contained an EER in the orthologous human gene, although nucleotide sequence and position were only rarely conserved. Among these conserved EER-associated genes were several TNFα-signaling genes, including Sppl2a and Tnfrsf1b, important for processing and recognition of TNFα, respectively.