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Identification of hub lncRNA ceRNAs in multiple sclerosis based on ceRNA mechanisms
Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system, and the pathogenesis is influenced by genetic susceptibility. Accumulating evidence has demonstrated that long non-coding RNAs (lncRNAs) play essential roles in complex diseases, including acting as competing endo...
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Published in: | Molecular genetics and genomics : MGG 2021-03, Vol.296 (2), p.423-435 |
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description | Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system, and the pathogenesis is influenced by genetic susceptibility. Accumulating evidence has demonstrated that long non-coding RNAs (lncRNAs) play essential roles in complex diseases, including acting as competing endogenous RNAs (ceRNAs). However, the functional roles and regulatory mechanisms of lncRNAs acting as ceRNAs in MS are still unclear. In this study, we identified hub lncRNA ceRNAs in MS based on ceRNA mechanisms and annotated their functions. The lncRNA-associated ceRNA network (LACN) was constructed by integrating the expression profiles of lncRNA/mRNA and miRNA in MS and normal samples, and the experimentally validated interactions of lncRNA-miRNA and mRNA-miRNA. We found three hub lncRNA ceRNAs (
XIST
,
OIP5-AS1
, and
CTB-89H12.4
) using the network analysis and obtained 96 lncRNA-mediated competing triplets (LCTs, lncRNA-miRNA-mRNA) with the hub lncRNA ceRNAs, which constituted 3 hub ceRNA modules. The functional analysis identified 12 pathways enriched by the 3 hub lncRNA ceRNAs, of which 6 were confirmed to be related to MS. For example,
XIST
was enriched in the ‘spliceosome’ and ‘RNA transport’ related to the typing of MS, and
CTB-89H12.4
was enriched in the ‘mTOR signaling pathway,’ a potential therapeutic target for MS. We dissected the expression patterns of the 96 LCTs in MS individually. LCT
XIST
-miR-326-
HNRNPA1
, for which the expression pattern in MS revealed that
XIST
and
HNRNPA1
were up-regulated and miR-326 was down-regulated, consisted of risk RNAs for MS that were validated by other research. Therefore,
XIST
-miR-326-
HNRNPA1
might play a central role in the pathogenesis of MS. These results will contribute to the discovery of novel biomarkers and the development of new therapeutic methods for MS. |
doi_str_mv | 10.1007/s00438-020-01750-1 |
format | article |
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XIST
,
OIP5-AS1
, and
CTB-89H12.4
) using the network analysis and obtained 96 lncRNA-mediated competing triplets (LCTs, lncRNA-miRNA-mRNA) with the hub lncRNA ceRNAs, which constituted 3 hub ceRNA modules. The functional analysis identified 12 pathways enriched by the 3 hub lncRNA ceRNAs, of which 6 were confirmed to be related to MS. For example,
XIST
was enriched in the ‘spliceosome’ and ‘RNA transport’ related to the typing of MS, and
CTB-89H12.4
was enriched in the ‘mTOR signaling pathway,’ a potential therapeutic target for MS. We dissected the expression patterns of the 96 LCTs in MS individually. LCT
XIST
-miR-326-
HNRNPA1
, for which the expression pattern in MS revealed that
XIST
and
HNRNPA1
were up-regulated and miR-326 was down-regulated, consisted of risk RNAs for MS that were validated by other research. Therefore,
XIST
-miR-326-
HNRNPA1
might play a central role in the pathogenesis of MS. These results will contribute to the discovery of novel biomarkers and the development of new therapeutic methods for MS.</description><identifier>ISSN: 1617-4615</identifier><identifier>EISSN: 1617-4623</identifier><identifier>DOI: 10.1007/s00438-020-01750-1</identifier><identifier>PMID: 33507382</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Animal Genetics and Genomics ; Autoimmune diseases ; Biochemistry ; Biomarkers, Tumor - genetics ; Biomedical and Life Sciences ; Central nervous system ; Databases, Genetic ; Gene expression ; Gene Expression Profiling ; Gene Expression Regulation ; Gene Regulatory Networks ; Genetic Predisposition to Disease ; Heterogeneous Nuclear Ribonucleoprotein A1 - genetics ; Human Genetics ; Humans ; Life Sciences ; Microbial Genetics and Genomics ; MicroRNAs - genetics ; miRNA ; Molecular Sequence Annotation ; mRNA ; Multiple sclerosis ; Multiple Sclerosis - genetics ; Non-coding RNA ; Original Article ; Pathogenesis ; Plant Genetics and Genomics ; RNA transport ; RNA, Long Noncoding - genetics ; RNA, Messenger - genetics ; Signal transduction ; Therapeutic targets ; TOR protein</subject><ispartof>Molecular genetics and genomics : MGG, 2021-03, Vol.296 (2), p.423-435</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-aa982d067c8dd5be02e7e98c3e3b5a4002ffc9005c48806477143aba7d3fdc3</citedby><cites>FETCH-LOGICAL-c375t-aa982d067c8dd5be02e7e98c3e3b5a4002ffc9005c48806477143aba7d3fdc3</cites><orcidid>0000-0003-3980-7701</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33507382$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ding, Yanjun</creatorcontrib><creatorcontrib>Li, Taotao</creatorcontrib><creatorcontrib>Yan, Xinwei</creatorcontrib><creatorcontrib>Cui, Mintian</creatorcontrib><creatorcontrib>Wang, Chao</creatorcontrib><creatorcontrib>Wang, Situo</creatorcontrib><creatorcontrib>Zhang, Fengmin</creatorcontrib><creatorcontrib>Zhang, Ruijie</creatorcontrib><title>Identification of hub lncRNA ceRNAs in multiple sclerosis based on ceRNA mechanisms</title><title>Molecular genetics and genomics : MGG</title><addtitle>Mol Genet Genomics</addtitle><addtitle>Mol Genet Genomics</addtitle><description>Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system, and the pathogenesis is influenced by genetic susceptibility. Accumulating evidence has demonstrated that long non-coding RNAs (lncRNAs) play essential roles in complex diseases, including acting as competing endogenous RNAs (ceRNAs). However, the functional roles and regulatory mechanisms of lncRNAs acting as ceRNAs in MS are still unclear. In this study, we identified hub lncRNA ceRNAs in MS based on ceRNA mechanisms and annotated their functions. The lncRNA-associated ceRNA network (LACN) was constructed by integrating the expression profiles of lncRNA/mRNA and miRNA in MS and normal samples, and the experimentally validated interactions of lncRNA-miRNA and mRNA-miRNA. We found three hub lncRNA ceRNAs (
XIST
,
OIP5-AS1
, and
CTB-89H12.4
) using the network analysis and obtained 96 lncRNA-mediated competing triplets (LCTs, lncRNA-miRNA-mRNA) with the hub lncRNA ceRNAs, which constituted 3 hub ceRNA modules. The functional analysis identified 12 pathways enriched by the 3 hub lncRNA ceRNAs, of which 6 were confirmed to be related to MS. For example,
XIST
was enriched in the ‘spliceosome’ and ‘RNA transport’ related to the typing of MS, and
CTB-89H12.4
was enriched in the ‘mTOR signaling pathway,’ a potential therapeutic target for MS. We dissected the expression patterns of the 96 LCTs in MS individually. LCT
XIST
-miR-326-
HNRNPA1
, for which the expression pattern in MS revealed that
XIST
and
HNRNPA1
were up-regulated and miR-326 was down-regulated, consisted of risk RNAs for MS that were validated by other research. Therefore,
XIST
-miR-326-
HNRNPA1
might play a central role in the pathogenesis of MS. These results will contribute to the discovery of novel biomarkers and the development of new therapeutic methods for MS.</description><subject>Animal Genetics and Genomics</subject><subject>Autoimmune diseases</subject><subject>Biochemistry</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Biomedical and Life Sciences</subject><subject>Central nervous system</subject><subject>Databases, Genetic</subject><subject>Gene expression</subject><subject>Gene Expression Profiling</subject><subject>Gene Expression Regulation</subject><subject>Gene Regulatory Networks</subject><subject>Genetic Predisposition to Disease</subject><subject>Heterogeneous Nuclear Ribonucleoprotein A1 - genetics</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Microbial Genetics and Genomics</subject><subject>MicroRNAs - genetics</subject><subject>miRNA</subject><subject>Molecular Sequence Annotation</subject><subject>mRNA</subject><subject>Multiple sclerosis</subject><subject>Multiple Sclerosis - genetics</subject><subject>Non-coding RNA</subject><subject>Original Article</subject><subject>Pathogenesis</subject><subject>Plant Genetics and Genomics</subject><subject>RNA transport</subject><subject>RNA, Long Noncoding - genetics</subject><subject>RNA, Messenger - genetics</subject><subject>Signal transduction</subject><subject>Therapeutic targets</subject><subject>TOR protein</subject><issn>1617-4615</issn><issn>1617-4623</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kLtOwzAUhi0EoqXwAgzIEgtL4PiSOB2rikslBBJltxznhLrKpcTJwNvjNqVIDCy2JX__f-yPkEsGtwxA3XkAKdIIOETAVAwROyJjljAVyYSL48OZxSNy5v0aApVwdUpGQsSgRMrHZLnIse5c4azpXFPTpqCrPqNlbd9eZtRiWD11Na36snObEqm3JbaNd55mxmNOQ2ZH0QrtytTOV_6cnBSm9Hix3ydk-XD_Pn-Knl8fF_PZc2SFirvImGnKc0iUTfM8zhA4KpymVqDIYiMBeFHYKUBsZZpCIpViUpjMqFwUuRUTcjO0btrms0ff6cp5i2Vpamx6r7lMeaK4SCCg13_QddO3dXhboKZMyqBwS_GBsuF_vsVCb1pXmfZLM9Bb4XoQrgOtd8I1C6GrfXWfVZgfIj-GAyAGwIer-gPb39n_1H4DrNmJ1Q</recordid><startdate>20210301</startdate><enddate>20210301</enddate><creator>Ding, Yanjun</creator><creator>Li, Taotao</creator><creator>Yan, Xinwei</creator><creator>Cui, Mintian</creator><creator>Wang, Chao</creator><creator>Wang, Situo</creator><creator>Zhang, Fengmin</creator><creator>Zhang, Ruijie</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</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>3V.</scope><scope>7SS</scope><scope>7TK</scope><scope>7TM</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-3980-7701</orcidid></search><sort><creationdate>20210301</creationdate><title>Identification of hub lncRNA ceRNAs in multiple sclerosis based on ceRNA mechanisms</title><author>Ding, Yanjun ; Li, Taotao ; Yan, Xinwei ; Cui, Mintian ; Wang, Chao ; Wang, Situo ; Zhang, Fengmin ; Zhang, Ruijie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-aa982d067c8dd5be02e7e98c3e3b5a4002ffc9005c48806477143aba7d3fdc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Animal Genetics and Genomics</topic><topic>Autoimmune diseases</topic><topic>Biochemistry</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Biomedical and Life Sciences</topic><topic>Central nervous system</topic><topic>Databases, Genetic</topic><topic>Gene expression</topic><topic>Gene Expression Profiling</topic><topic>Gene Expression Regulation</topic><topic>Gene Regulatory Networks</topic><topic>Genetic Predisposition to Disease</topic><topic>Heterogeneous Nuclear Ribonucleoprotein A1 - genetics</topic><topic>Human Genetics</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Microbial Genetics and Genomics</topic><topic>MicroRNAs - genetics</topic><topic>miRNA</topic><topic>Molecular Sequence Annotation</topic><topic>mRNA</topic><topic>Multiple sclerosis</topic><topic>Multiple Sclerosis - genetics</topic><topic>Non-coding RNA</topic><topic>Original Article</topic><topic>Pathogenesis</topic><topic>Plant Genetics and Genomics</topic><topic>RNA transport</topic><topic>RNA, Long Noncoding - genetics</topic><topic>RNA, Messenger - genetics</topic><topic>Signal transduction</topic><topic>Therapeutic targets</topic><topic>TOR protein</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ding, Yanjun</creatorcontrib><creatorcontrib>Li, Taotao</creatorcontrib><creatorcontrib>Yan, Xinwei</creatorcontrib><creatorcontrib>Cui, Mintian</creatorcontrib><creatorcontrib>Wang, Chao</creatorcontrib><creatorcontrib>Wang, Situo</creatorcontrib><creatorcontrib>Zhang, Fengmin</creatorcontrib><creatorcontrib>Zhang, Ruijie</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Biology Database (Alumni Edition)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech 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>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</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>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Biotechnology and BioEngineering Abstracts</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>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Molecular genetics and genomics : MGG</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ding, Yanjun</au><au>Li, Taotao</au><au>Yan, Xinwei</au><au>Cui, Mintian</au><au>Wang, Chao</au><au>Wang, Situo</au><au>Zhang, Fengmin</au><au>Zhang, Ruijie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Identification of hub lncRNA ceRNAs in multiple sclerosis based on ceRNA mechanisms</atitle><jtitle>Molecular genetics and genomics : MGG</jtitle><stitle>Mol Genet Genomics</stitle><addtitle>Mol Genet Genomics</addtitle><date>2021-03-01</date><risdate>2021</risdate><volume>296</volume><issue>2</issue><spage>423</spage><epage>435</epage><pages>423-435</pages><issn>1617-4615</issn><eissn>1617-4623</eissn><abstract>Multiple sclerosis (MS) is a chronic autoimmune disease of the central nervous system, and the pathogenesis is influenced by genetic susceptibility. Accumulating evidence has demonstrated that long non-coding RNAs (lncRNAs) play essential roles in complex diseases, including acting as competing endogenous RNAs (ceRNAs). However, the functional roles and regulatory mechanisms of lncRNAs acting as ceRNAs in MS are still unclear. In this study, we identified hub lncRNA ceRNAs in MS based on ceRNA mechanisms and annotated their functions. The lncRNA-associated ceRNA network (LACN) was constructed by integrating the expression profiles of lncRNA/mRNA and miRNA in MS and normal samples, and the experimentally validated interactions of lncRNA-miRNA and mRNA-miRNA. We found three hub lncRNA ceRNAs (
XIST
,
OIP5-AS1
, and
CTB-89H12.4
) using the network analysis and obtained 96 lncRNA-mediated competing triplets (LCTs, lncRNA-miRNA-mRNA) with the hub lncRNA ceRNAs, which constituted 3 hub ceRNA modules. The functional analysis identified 12 pathways enriched by the 3 hub lncRNA ceRNAs, of which 6 were confirmed to be related to MS. For example,
XIST
was enriched in the ‘spliceosome’ and ‘RNA transport’ related to the typing of MS, and
CTB-89H12.4
was enriched in the ‘mTOR signaling pathway,’ a potential therapeutic target for MS. We dissected the expression patterns of the 96 LCTs in MS individually. LCT
XIST
-miR-326-
HNRNPA1
, for which the expression pattern in MS revealed that
XIST
and
HNRNPA1
were up-regulated and miR-326 was down-regulated, consisted of risk RNAs for MS that were validated by other research. Therefore,
XIST
-miR-326-
HNRNPA1
might play a central role in the pathogenesis of MS. These results will contribute to the discovery of novel biomarkers and the development of new therapeutic methods for MS.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>33507382</pmid><doi>10.1007/s00438-020-01750-1</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-3980-7701</orcidid></addata></record> |
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subjects | Animal Genetics and Genomics Autoimmune diseases Biochemistry Biomarkers, Tumor - genetics Biomedical and Life Sciences Central nervous system Databases, Genetic Gene expression Gene Expression Profiling Gene Expression Regulation Gene Regulatory Networks Genetic Predisposition to Disease Heterogeneous Nuclear Ribonucleoprotein A1 - genetics Human Genetics Humans Life Sciences Microbial Genetics and Genomics MicroRNAs - genetics miRNA Molecular Sequence Annotation mRNA Multiple sclerosis Multiple Sclerosis - genetics Non-coding RNA Original Article Pathogenesis Plant Genetics and Genomics RNA transport RNA, Long Noncoding - genetics RNA, Messenger - genetics Signal transduction Therapeutic targets TOR protein |
title | Identification of hub lncRNA ceRNAs in multiple sclerosis based on ceRNA mechanisms |
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