Transcription of human endogenous retroviruses in human brain by RNA-seq analysis

Human endogenous retroviruses (HERV) comprise 8% of the human genome and can be classified into at least 31 families. Increased levels of transcripts from the W and H families of HERV have been observed in association with human diseases, such as multiple sclerosis and schizophrenia. Although HERV t...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2019-01, Vol.14 (1), p.e0207353-e0207353
Hauptverfasser: Li, Fang, Sabunciyan, Sarven, Yolken, Robert H, Lee, Doheon, Kim, Sanghyeon, Karlsson, Håkan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e0207353
container_issue 1
container_start_page e0207353
container_title PloS one
container_volume 14
creator Li, Fang
Sabunciyan, Sarven
Yolken, Robert H
Lee, Doheon
Kim, Sanghyeon
Karlsson, Håkan
description Human endogenous retroviruses (HERV) comprise 8% of the human genome and can be classified into at least 31 families. Increased levels of transcripts from the W and H families of HERV have been observed in association with human diseases, such as multiple sclerosis and schizophrenia. Although HERV transcripts have been detected in many tissues and cell-types based on microarray and PCR studies, the extent of HERV expression in different cell-types and diseases state has been less comprehensively studied. We examined overall transcription of HERV, and particularly of HERV-W and HERV-H elements in human postmortem brain samples obtained from individuals with psychiatric diagnoses (n = 111) and healthy controls (n = 51) by analyzing publicly available RNA sequencing datasets. Sequence reads were aligned to prototypical sequences representing HERV, downloaded from Repbase. We reported a consistent expression (0.1~0.2% of mappable reads) of different HERV families across three regions of human brains. Spearman correlations revealed highly correlated expression levels between three brain regionsacross 475 consensus sequences. By mapping sequences that aligned to the consensus sequences of HERV-W and HERV-H families to individual loci on chromosome 7, more than 60 loci from each family were identified, part of which are being transcribed. The ERVWE1, locus located at chr7q21.2, exhibited high levels of transcription across the three datasets. Notably, we demonstrated a trend of increased expression of overall HERV, as well as HERV-W family in samples from both schizophrenia and bipolar disorder patients. The current analyses indicate that RNA sequencing is a useful approach for investigating global expression of repetitive elements, such as HERV, in the human genome. HERV-W/H with the tendency of transcription up-regulation in patients suggests potential implication of HERV-W/H in psychiatric diseases.
doi_str_mv 10.1371/journal.pone.0207353
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_2163004372</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A568199232</galeid><doaj_id>oai_doaj_org_article_cbea91f5d7a24310a991dfac9bd9472e</doaj_id><sourcerecordid>A568199232</sourcerecordid><originalsourceid>FETCH-LOGICAL-c780t-3ad03a6ec1858da6db0e882a1caf39af5c8fba91158519d9d8d5c5f18b8389093</originalsourceid><addsrcrecordid>eNqNk19v0zAUxSMEYmPwDRBEQkLwkGLHcWK_IFUTfypNTIzBq3VjO61Hand2Mui3x6HpaNCQUB5i3fzOuc6xb5I8xWiGSYXfXLneW2hnG2f1DOWoIpTcS44xJ3lW5ojcP1gfJY9CuEKIElaWD5MjgkpEi6o8Tj5ferBBerPpjLOpa9JVvwabaqvcUlvXh9Trzrsb4_ugQ2rsCNQe4rrephef5lnQ1ynEzWyDCY-TBw20QT8Z3yfJ1_fvLk8_ZmfnHxan87NMVgx1GQGFCJRaYkaZglLVSDOWA5bQEA4NlaypgWNMGcVcccUUlbTBrGaEccTJSfJ857tpXRBjGkHkuCQIFaTKI7HYEcrBldh4swa_FQ6M-F1wfinAd0a2Wshax14NVRXkBcEIOMeqAclrxYsq19Er23mFH3rT1xO3sfQ9rrQoGEEURZ7_k994p_6I9kJMOK8wKwbt2_HP-nqtldS289BOLSZfrFmJpbsRJcFVxYpo8Go08O6616ETaxOkbluwOp7okFGBEc7R0OvFX-jdSY7UEmJYxjYu9pWDqZjTkmHOczJQszuo-Ci9NjJe08bE-kTweiKITKd_dkvoQxCLLxf_z55_m7IvD9iVhrZbBdf2wxUPU7DYgdK7ELxubkPGSAxTtk9DDFMmximLsmeHB3Qr2o8V-QWQ1SPo</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2163004372</pqid></control><display><type>article</type><title>Transcription of human endogenous retroviruses in human brain by RNA-seq analysis</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>SWEPUB Freely available online</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Li, Fang ; Sabunciyan, Sarven ; Yolken, Robert H ; Lee, Doheon ; Kim, Sanghyeon ; Karlsson, Håkan</creator><contributor>Ruprecht, Klemens</contributor><creatorcontrib>Li, Fang ; Sabunciyan, Sarven ; Yolken, Robert H ; Lee, Doheon ; Kim, Sanghyeon ; Karlsson, Håkan ; Ruprecht, Klemens</creatorcontrib><description>Human endogenous retroviruses (HERV) comprise 8% of the human genome and can be classified into at least 31 families. Increased levels of transcripts from the W and H families of HERV have been observed in association with human diseases, such as multiple sclerosis and schizophrenia. Although HERV transcripts have been detected in many tissues and cell-types based on microarray and PCR studies, the extent of HERV expression in different cell-types and diseases state has been less comprehensively studied. We examined overall transcription of HERV, and particularly of HERV-W and HERV-H elements in human postmortem brain samples obtained from individuals with psychiatric diagnoses (n = 111) and healthy controls (n = 51) by analyzing publicly available RNA sequencing datasets. Sequence reads were aligned to prototypical sequences representing HERV, downloaded from Repbase. We reported a consistent expression (0.1~0.2% of mappable reads) of different HERV families across three regions of human brains. Spearman correlations revealed highly correlated expression levels between three brain regionsacross 475 consensus sequences. By mapping sequences that aligned to the consensus sequences of HERV-W and HERV-H families to individual loci on chromosome 7, more than 60 loci from each family were identified, part of which are being transcribed. The ERVWE1, locus located at chr7q21.2, exhibited high levels of transcription across the three datasets. Notably, we demonstrated a trend of increased expression of overall HERV, as well as HERV-W family in samples from both schizophrenia and bipolar disorder patients. The current analyses indicate that RNA sequencing is a useful approach for investigating global expression of repetitive elements, such as HERV, in the human genome. HERV-W/H with the tendency of transcription up-regulation in patients suggests potential implication of HERV-W/H in psychiatric diseases.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0207353</identifier><identifier>PMID: 30605476</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acquired immune deficiency syndrome ; AIDS ; Analysis ; Biology and Life Sciences ; Bipolar disorder ; Bipolar Disorder - genetics ; Bipolar Disorder - virology ; Brain ; Brain - metabolism ; Brain - virology ; Brain mapping ; Brain research ; Chromosome 7 ; Chromosomes, Human, Pair 7 - genetics ; Datasets ; Depression - genetics ; Depression - virology ; Diseases ; DNA microarrays ; Endogenous retroviruses ; Endogenous Retroviruses - genetics ; Gene expression ; Gene Expression Regulation, Viral ; Gene mapping ; Gene regulation ; Gene sequencing ; Genetic Loci ; Genome, Human ; Genomes ; Genomics ; Humans ; Loci ; Mapping ; Medicin och hälsovetenskap ; Medicine and Health Sciences ; Mental disorders ; Multiple sclerosis ; Neurosciences ; Nucleotide sequence ; Patients ; Pediatrics ; Proteins ; Psychiatric clinics ; Psychiatry ; Repetitive Sequences, Nucleic Acid - genetics ; Research and Analysis Methods ; Ribonucleic acid ; RNA ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; Schizophrenia ; Schizophrenia - genetics ; Schizophrenia - virology ; Sequence Analysis, RNA ; Statistics, Nonparametric ; Transcription ; Transcription, Genetic</subject><ispartof>PloS one, 2019-01, Vol.14 (1), p.e0207353-e0207353</ispartof><rights>COPYRIGHT 2019 Public Library of Science</rights><rights>2019 Li et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2019 Li et al 2019 Li et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c780t-3ad03a6ec1858da6db0e882a1caf39af5c8fba91158519d9d8d5c5f18b8389093</citedby><cites>FETCH-LOGICAL-c780t-3ad03a6ec1858da6db0e882a1caf39af5c8fba91158519d9d8d5c5f18b8389093</cites><orcidid>0000-0001-9328-0926</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6317784/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6317784/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,552,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30605476$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:139971840$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><contributor>Ruprecht, Klemens</contributor><creatorcontrib>Li, Fang</creatorcontrib><creatorcontrib>Sabunciyan, Sarven</creatorcontrib><creatorcontrib>Yolken, Robert H</creatorcontrib><creatorcontrib>Lee, Doheon</creatorcontrib><creatorcontrib>Kim, Sanghyeon</creatorcontrib><creatorcontrib>Karlsson, Håkan</creatorcontrib><title>Transcription of human endogenous retroviruses in human brain by RNA-seq analysis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Human endogenous retroviruses (HERV) comprise 8% of the human genome and can be classified into at least 31 families. Increased levels of transcripts from the W and H families of HERV have been observed in association with human diseases, such as multiple sclerosis and schizophrenia. Although HERV transcripts have been detected in many tissues and cell-types based on microarray and PCR studies, the extent of HERV expression in different cell-types and diseases state has been less comprehensively studied. We examined overall transcription of HERV, and particularly of HERV-W and HERV-H elements in human postmortem brain samples obtained from individuals with psychiatric diagnoses (n = 111) and healthy controls (n = 51) by analyzing publicly available RNA sequencing datasets. Sequence reads were aligned to prototypical sequences representing HERV, downloaded from Repbase. We reported a consistent expression (0.1~0.2% of mappable reads) of different HERV families across three regions of human brains. Spearman correlations revealed highly correlated expression levels between three brain regionsacross 475 consensus sequences. By mapping sequences that aligned to the consensus sequences of HERV-W and HERV-H families to individual loci on chromosome 7, more than 60 loci from each family were identified, part of which are being transcribed. The ERVWE1, locus located at chr7q21.2, exhibited high levels of transcription across the three datasets. Notably, we demonstrated a trend of increased expression of overall HERV, as well as HERV-W family in samples from both schizophrenia and bipolar disorder patients. The current analyses indicate that RNA sequencing is a useful approach for investigating global expression of repetitive elements, such as HERV, in the human genome. HERV-W/H with the tendency of transcription up-regulation in patients suggests potential implication of HERV-W/H in psychiatric diseases.</description><subject>Acquired immune deficiency syndrome</subject><subject>AIDS</subject><subject>Analysis</subject><subject>Biology and Life Sciences</subject><subject>Bipolar disorder</subject><subject>Bipolar Disorder - genetics</subject><subject>Bipolar Disorder - virology</subject><subject>Brain</subject><subject>Brain - metabolism</subject><subject>Brain - virology</subject><subject>Brain mapping</subject><subject>Brain research</subject><subject>Chromosome 7</subject><subject>Chromosomes, Human, Pair 7 - genetics</subject><subject>Datasets</subject><subject>Depression - genetics</subject><subject>Depression - virology</subject><subject>Diseases</subject><subject>DNA microarrays</subject><subject>Endogenous retroviruses</subject><subject>Endogenous Retroviruses - genetics</subject><subject>Gene expression</subject><subject>Gene Expression Regulation, Viral</subject><subject>Gene mapping</subject><subject>Gene regulation</subject><subject>Gene sequencing</subject><subject>Genetic Loci</subject><subject>Genome, Human</subject><subject>Genomes</subject><subject>Genomics</subject><subject>Humans</subject><subject>Loci</subject><subject>Mapping</subject><subject>Medicin och hälsovetenskap</subject><subject>Medicine and Health Sciences</subject><subject>Mental disorders</subject><subject>Multiple sclerosis</subject><subject>Neurosciences</subject><subject>Nucleotide sequence</subject><subject>Patients</subject><subject>Pediatrics</subject><subject>Proteins</subject><subject>Psychiatric clinics</subject><subject>Psychiatry</subject><subject>Repetitive Sequences, Nucleic Acid - genetics</subject><subject>Research and Analysis Methods</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA, Messenger - genetics</subject><subject>RNA, Messenger - metabolism</subject><subject>Schizophrenia</subject><subject>Schizophrenia - genetics</subject><subject>Schizophrenia - virology</subject><subject>Sequence Analysis, RNA</subject><subject>Statistics, Nonparametric</subject><subject>Transcription</subject><subject>Transcription, Genetic</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>D8T</sourceid><sourceid>DOA</sourceid><recordid>eNqNk19v0zAUxSMEYmPwDRBEQkLwkGLHcWK_IFUTfypNTIzBq3VjO61Hand2Mui3x6HpaNCQUB5i3fzOuc6xb5I8xWiGSYXfXLneW2hnG2f1DOWoIpTcS44xJ3lW5ojcP1gfJY9CuEKIElaWD5MjgkpEi6o8Tj5ferBBerPpjLOpa9JVvwabaqvcUlvXh9Trzrsb4_ugQ2rsCNQe4rrephef5lnQ1ynEzWyDCY-TBw20QT8Z3yfJ1_fvLk8_ZmfnHxan87NMVgx1GQGFCJRaYkaZglLVSDOWA5bQEA4NlaypgWNMGcVcccUUlbTBrGaEccTJSfJ857tpXRBjGkHkuCQIFaTKI7HYEcrBldh4swa_FQ6M-F1wfinAd0a2Wshax14NVRXkBcEIOMeqAclrxYsq19Er23mFH3rT1xO3sfQ9rrQoGEEURZ7_k994p_6I9kJMOK8wKwbt2_HP-nqtldS289BOLSZfrFmJpbsRJcFVxYpo8Go08O6616ETaxOkbluwOp7okFGBEc7R0OvFX-jdSY7UEmJYxjYu9pWDqZjTkmHOczJQszuo-Ci9NjJe08bE-kTweiKITKd_dkvoQxCLLxf_z55_m7IvD9iVhrZbBdf2wxUPU7DYgdK7ELxubkPGSAxTtk9DDFMmximLsmeHB3Qr2o8V-QWQ1SPo</recordid><startdate>20190103</startdate><enddate>20190103</enddate><creator>Li, Fang</creator><creator>Sabunciyan, Sarven</creator><creator>Yolken, Robert H</creator><creator>Lee, Doheon</creator><creator>Kim, Sanghyeon</creator><creator>Karlsson, Håkan</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-9328-0926</orcidid></search><sort><creationdate>20190103</creationdate><title>Transcription of human endogenous retroviruses in human brain by RNA-seq analysis</title><author>Li, Fang ; Sabunciyan, Sarven ; Yolken, Robert H ; Lee, Doheon ; Kim, Sanghyeon ; Karlsson, Håkan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c780t-3ad03a6ec1858da6db0e882a1caf39af5c8fba91158519d9d8d5c5f18b8389093</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Acquired immune deficiency syndrome</topic><topic>AIDS</topic><topic>Analysis</topic><topic>Biology and Life Sciences</topic><topic>Bipolar disorder</topic><topic>Bipolar Disorder - genetics</topic><topic>Bipolar Disorder - virology</topic><topic>Brain</topic><topic>Brain - metabolism</topic><topic>Brain - virology</topic><topic>Brain mapping</topic><topic>Brain research</topic><topic>Chromosome 7</topic><topic>Chromosomes, Human, Pair 7 - genetics</topic><topic>Datasets</topic><topic>Depression - genetics</topic><topic>Depression - virology</topic><topic>Diseases</topic><topic>DNA microarrays</topic><topic>Endogenous retroviruses</topic><topic>Endogenous Retroviruses - genetics</topic><topic>Gene expression</topic><topic>Gene Expression Regulation, Viral</topic><topic>Gene mapping</topic><topic>Gene regulation</topic><topic>Gene sequencing</topic><topic>Genetic Loci</topic><topic>Genome, Human</topic><topic>Genomes</topic><topic>Genomics</topic><topic>Humans</topic><topic>Loci</topic><topic>Mapping</topic><topic>Medicin och hälsovetenskap</topic><topic>Medicine and Health Sciences</topic><topic>Mental disorders</topic><topic>Multiple sclerosis</topic><topic>Neurosciences</topic><topic>Nucleotide sequence</topic><topic>Patients</topic><topic>Pediatrics</topic><topic>Proteins</topic><topic>Psychiatric clinics</topic><topic>Psychiatry</topic><topic>Repetitive Sequences, Nucleic Acid - genetics</topic><topic>Research and Analysis Methods</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA, Messenger - genetics</topic><topic>RNA, Messenger - metabolism</topic><topic>Schizophrenia</topic><topic>Schizophrenia - genetics</topic><topic>Schizophrenia - virology</topic><topic>Sequence Analysis, RNA</topic><topic>Statistics, Nonparametric</topic><topic>Transcription</topic><topic>Transcription, Genetic</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Fang</creatorcontrib><creatorcontrib>Sabunciyan, Sarven</creatorcontrib><creatorcontrib>Yolken, Robert H</creatorcontrib><creatorcontrib>Lee, Doheon</creatorcontrib><creatorcontrib>Kim, Sanghyeon</creatorcontrib><creatorcontrib>Karlsson, Håkan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>Proquest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection (ProQuest)</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Fang</au><au>Sabunciyan, Sarven</au><au>Yolken, Robert H</au><au>Lee, Doheon</au><au>Kim, Sanghyeon</au><au>Karlsson, Håkan</au><au>Ruprecht, Klemens</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Transcription of human endogenous retroviruses in human brain by RNA-seq analysis</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2019-01-03</date><risdate>2019</risdate><volume>14</volume><issue>1</issue><spage>e0207353</spage><epage>e0207353</epage><pages>e0207353-e0207353</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Human endogenous retroviruses (HERV) comprise 8% of the human genome and can be classified into at least 31 families. Increased levels of transcripts from the W and H families of HERV have been observed in association with human diseases, such as multiple sclerosis and schizophrenia. Although HERV transcripts have been detected in many tissues and cell-types based on microarray and PCR studies, the extent of HERV expression in different cell-types and diseases state has been less comprehensively studied. We examined overall transcription of HERV, and particularly of HERV-W and HERV-H elements in human postmortem brain samples obtained from individuals with psychiatric diagnoses (n = 111) and healthy controls (n = 51) by analyzing publicly available RNA sequencing datasets. Sequence reads were aligned to prototypical sequences representing HERV, downloaded from Repbase. We reported a consistent expression (0.1~0.2% of mappable reads) of different HERV families across three regions of human brains. Spearman correlations revealed highly correlated expression levels between three brain regionsacross 475 consensus sequences. By mapping sequences that aligned to the consensus sequences of HERV-W and HERV-H families to individual loci on chromosome 7, more than 60 loci from each family were identified, part of which are being transcribed. The ERVWE1, locus located at chr7q21.2, exhibited high levels of transcription across the three datasets. Notably, we demonstrated a trend of increased expression of overall HERV, as well as HERV-W family in samples from both schizophrenia and bipolar disorder patients. The current analyses indicate that RNA sequencing is a useful approach for investigating global expression of repetitive elements, such as HERV, in the human genome. HERV-W/H with the tendency of transcription up-regulation in patients suggests potential implication of HERV-W/H in psychiatric diseases.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>30605476</pmid><doi>10.1371/journal.pone.0207353</doi><tpages>e0207353</tpages><orcidid>https://orcid.org/0000-0001-9328-0926</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2019-01, Vol.14 (1), p.e0207353-e0207353
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_2163004372
source MEDLINE; DOAJ Directory of Open Access Journals; SWEPUB Freely available online; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry
subjects Acquired immune deficiency syndrome
AIDS
Analysis
Biology and Life Sciences
Bipolar disorder
Bipolar Disorder - genetics
Bipolar Disorder - virology
Brain
Brain - metabolism
Brain - virology
Brain mapping
Brain research
Chromosome 7
Chromosomes, Human, Pair 7 - genetics
Datasets
Depression - genetics
Depression - virology
Diseases
DNA microarrays
Endogenous retroviruses
Endogenous Retroviruses - genetics
Gene expression
Gene Expression Regulation, Viral
Gene mapping
Gene regulation
Gene sequencing
Genetic Loci
Genome, Human
Genomes
Genomics
Humans
Loci
Mapping
Medicin och hälsovetenskap
Medicine and Health Sciences
Mental disorders
Multiple sclerosis
Neurosciences
Nucleotide sequence
Patients
Pediatrics
Proteins
Psychiatric clinics
Psychiatry
Repetitive Sequences, Nucleic Acid - genetics
Research and Analysis Methods
Ribonucleic acid
RNA
RNA, Messenger - genetics
RNA, Messenger - metabolism
Schizophrenia
Schizophrenia - genetics
Schizophrenia - virology
Sequence Analysis, RNA
Statistics, Nonparametric
Transcription
Transcription, Genetic
title Transcription of human endogenous retroviruses in human brain by RNA-seq analysis
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-19T17%3A14%3A17IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Transcription%20of%20human%20endogenous%20retroviruses%20in%20human%20brain%20by%20RNA-seq%20analysis&rft.jtitle=PloS%20one&rft.au=Li,%20Fang&rft.date=2019-01-03&rft.volume=14&rft.issue=1&rft.spage=e0207353&rft.epage=e0207353&rft.pages=e0207353-e0207353&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0207353&rft_dat=%3Cgale_plos_%3EA568199232%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2163004372&rft_id=info:pmid/30605476&rft_galeid=A568199232&rft_doaj_id=oai_doaj_org_article_cbea91f5d7a24310a991dfac9bd9472e&rfr_iscdi=true