Comprehensive analysis of the LncRNAs, MiRNAs, and MRNAs acting within the competing endogenous RNA network of LGG

Messenger RNA (mRNA) and long noncoding RNA (lncRNA) targets interact via competitive microRNA (miRNA) binding. However, the roles of cancer-specific lncRNAs in the competing endogenous RNA (ceRNA) networks of low-grade glioma (LGG) remain unclear. This study obtained RNA sequencing data for normal...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Genetica 2022-02, Vol.150 (1), p.41-50
Hauptverfasser: Ding, Yiming, Liu, Hanjie, Zhang, Chuanbao, Bao, Zhaoshi, Yu, Shuqing
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 50
container_issue 1
container_start_page 41
container_title Genetica
container_volume 150
creator Ding, Yiming
Liu, Hanjie
Zhang, Chuanbao
Bao, Zhaoshi
Yu, Shuqing
description Messenger RNA (mRNA) and long noncoding RNA (lncRNA) targets interact via competitive microRNA (miRNA) binding. However, the roles of cancer-specific lncRNAs in the competing endogenous RNA (ceRNA) networks of low-grade glioma (LGG) remain unclear. This study obtained RNA sequencing data for normal solid tissue and LGG primary tumour tissue from The Cancer Genome Atlas database. We used a computational method to analyse the relationships among the mRNAs, lncRNAs, and miRNAs in these samples. Gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was used to predict the biological processes (BPs) and pathways associated with these genes. Kaplan–Meier survival analysis was used to evaluate the association between the expression levels of specific mRNAs, lncRNAs, and miRNAs and overall survival. Finally, we created a ceRNA network describing the relationships among these mRNAs, lncRNAs, and miRNAs using Cytoscape 3.5.1. A total of 2555 differentially expressed (DE) mRNAs, 218 DElncRNAs, and 192 DEmiRNAs were identified using R. In addition, GO and KEGG pathway analysis of the mRNAs and lncRNAs in the ceRNA network identified 10 BPs, 10 cell components, 10 molecular functions, and 48 KEGG pathways as selectively enriched. A total of 55 lncRNAs, 50 miRNAs, and 10 mRNAs from this network were shown to be closely associated with overall survival in LGG. Finally, 59 miRNAs, 235 mRNAs, and 17 lncRNAs were used to develop a ceRNA network comprising 313 nodes and 1046 edges. This study helps expand our understanding of ceRNA networks and serves to clarify the underlying pathogenesis mechanism of LGG.
doi_str_mv 10.1007/s10709-021-00145-3
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_2618237426</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2631749195</sourcerecordid><originalsourceid>FETCH-LOGICAL-c375t-26845401802ea81482b06a8fb4e2d320fe1da5065422c5427bd553a8d66bead73</originalsourceid><addsrcrecordid>eNp9kU1PGzEQhq2qCFLgD_RQWeqFQ5eOv3ePUVRSpASkCs6Wd3c22TTxpvamiH9fJxtA4tCLxxo_89ryQ8hnBtcMwHyPDAwUGXCWATCpMvGBjJgyItO5Mh_JKHV1pg2YM_IpxhUAFEYXp-RMyKIQhsOIhEm32QZcoo_tX6TOu_VzbCPtGtovkc589etuHL_ReTtU52s632-pq_rWL-hT2y9bf4CrFIWHJvq6W6DvdpEmlnrsn7rwex86m04vyEnj1hEvj_WcPN78eJj8zGb309vJeJZVwqg-4zqXSgLLgaPLmcx5CdrlTSmR14JDg6x2CrSSnFdpMWWtlHB5rXWJrjbinFwNudvQ_dlh7O2mjRWu185jepnlmuVcGMl1Qr--Q1fdLqS_2FOCGVmwQiWKD1QVuhgDNnYb2o0Lz5aB3RuxgxGbjNiDESvS0Jdj9K7cYP068qIgAWIAYjryCwxvd_8n9h_5XZQA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2631749195</pqid></control><display><type>article</type><title>Comprehensive analysis of the LncRNAs, MiRNAs, and MRNAs acting within the competing endogenous RNA network of LGG</title><source>MEDLINE</source><source>SpringerNature Journals</source><creator>Ding, Yiming ; Liu, Hanjie ; Zhang, Chuanbao ; Bao, Zhaoshi ; Yu, Shuqing</creator><creatorcontrib>Ding, Yiming ; Liu, Hanjie ; Zhang, Chuanbao ; Bao, Zhaoshi ; Yu, Shuqing</creatorcontrib><description>Messenger RNA (mRNA) and long noncoding RNA (lncRNA) targets interact via competitive microRNA (miRNA) binding. However, the roles of cancer-specific lncRNAs in the competing endogenous RNA (ceRNA) networks of low-grade glioma (LGG) remain unclear. This study obtained RNA sequencing data for normal solid tissue and LGG primary tumour tissue from The Cancer Genome Atlas database. We used a computational method to analyse the relationships among the mRNAs, lncRNAs, and miRNAs in these samples. Gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was used to predict the biological processes (BPs) and pathways associated with these genes. Kaplan–Meier survival analysis was used to evaluate the association between the expression levels of specific mRNAs, lncRNAs, and miRNAs and overall survival. Finally, we created a ceRNA network describing the relationships among these mRNAs, lncRNAs, and miRNAs using Cytoscape 3.5.1. A total of 2555 differentially expressed (DE) mRNAs, 218 DElncRNAs, and 192 DEmiRNAs were identified using R. In addition, GO and KEGG pathway analysis of the mRNAs and lncRNAs in the ceRNA network identified 10 BPs, 10 cell components, 10 molecular functions, and 48 KEGG pathways as selectively enriched. A total of 55 lncRNAs, 50 miRNAs, and 10 mRNAs from this network were shown to be closely associated with overall survival in LGG. Finally, 59 miRNAs, 235 mRNAs, and 17 lncRNAs were used to develop a ceRNA network comprising 313 nodes and 1046 edges. This study helps expand our understanding of ceRNA networks and serves to clarify the underlying pathogenesis mechanism of LGG.</description><identifier>ISSN: 0016-6707</identifier><identifier>EISSN: 1573-6857</identifier><identifier>DOI: 10.1007/s10709-021-00145-3</identifier><identifier>PMID: 34993720</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Animal Genetics and Genomics ; Biological activity ; Biomedical and Life Sciences ; Cancer ; Computer applications ; Encyclopedias ; Evolutionary Biology ; Gene Regulatory Networks ; Gene sequencing ; Genes ; Genomes ; Glioma ; Human Genetics ; Humans ; Life Sciences ; Microbial Genetics and Genomics ; MicroRNAs ; MicroRNAs - genetics ; MicroRNAs - metabolism ; miRNA ; mRNA ; Non-coding RNA ; Original Paper ; Pathogenesis ; Plant Genetics and Genomics ; Ribonucleic acid ; RNA ; RNA, Long Noncoding - genetics ; RNA, Messenger - genetics ; RNA, Messenger - metabolism ; Survival ; Survival analysis ; Tumors</subject><ispartof>Genetica, 2022-02, Vol.150 (1), p.41-50</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021</rights><rights>2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.</rights><rights>The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-26845401802ea81482b06a8fb4e2d320fe1da5065422c5427bd553a8d66bead73</citedby><cites>FETCH-LOGICAL-c375t-26845401802ea81482b06a8fb4e2d320fe1da5065422c5427bd553a8d66bead73</cites><orcidid>0000-0001-8012-2398</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10709-021-00145-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10709-021-00145-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34993720$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ding, Yiming</creatorcontrib><creatorcontrib>Liu, Hanjie</creatorcontrib><creatorcontrib>Zhang, Chuanbao</creatorcontrib><creatorcontrib>Bao, Zhaoshi</creatorcontrib><creatorcontrib>Yu, Shuqing</creatorcontrib><title>Comprehensive analysis of the LncRNAs, MiRNAs, and MRNAs acting within the competing endogenous RNA network of LGG</title><title>Genetica</title><addtitle>Genetica</addtitle><addtitle>Genetica</addtitle><description>Messenger RNA (mRNA) and long noncoding RNA (lncRNA) targets interact via competitive microRNA (miRNA) binding. However, the roles of cancer-specific lncRNAs in the competing endogenous RNA (ceRNA) networks of low-grade glioma (LGG) remain unclear. This study obtained RNA sequencing data for normal solid tissue and LGG primary tumour tissue from The Cancer Genome Atlas database. We used a computational method to analyse the relationships among the mRNAs, lncRNAs, and miRNAs in these samples. Gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was used to predict the biological processes (BPs) and pathways associated with these genes. Kaplan–Meier survival analysis was used to evaluate the association between the expression levels of specific mRNAs, lncRNAs, and miRNAs and overall survival. Finally, we created a ceRNA network describing the relationships among these mRNAs, lncRNAs, and miRNAs using Cytoscape 3.5.1. A total of 2555 differentially expressed (DE) mRNAs, 218 DElncRNAs, and 192 DEmiRNAs were identified using R. In addition, GO and KEGG pathway analysis of the mRNAs and lncRNAs in the ceRNA network identified 10 BPs, 10 cell components, 10 molecular functions, and 48 KEGG pathways as selectively enriched. A total of 55 lncRNAs, 50 miRNAs, and 10 mRNAs from this network were shown to be closely associated with overall survival in LGG. Finally, 59 miRNAs, 235 mRNAs, and 17 lncRNAs were used to develop a ceRNA network comprising 313 nodes and 1046 edges. This study helps expand our understanding of ceRNA networks and serves to clarify the underlying pathogenesis mechanism of LGG.</description><subject>Animal Genetics and Genomics</subject><subject>Biological activity</subject><subject>Biomedical and Life Sciences</subject><subject>Cancer</subject><subject>Computer applications</subject><subject>Encyclopedias</subject><subject>Evolutionary Biology</subject><subject>Gene Regulatory Networks</subject><subject>Gene sequencing</subject><subject>Genes</subject><subject>Genomes</subject><subject>Glioma</subject><subject>Human Genetics</subject><subject>Humans</subject><subject>Life Sciences</subject><subject>Microbial Genetics and Genomics</subject><subject>MicroRNAs</subject><subject>MicroRNAs - genetics</subject><subject>MicroRNAs - metabolism</subject><subject>miRNA</subject><subject>mRNA</subject><subject>Non-coding RNA</subject><subject>Original Paper</subject><subject>Pathogenesis</subject><subject>Plant Genetics and Genomics</subject><subject>Ribonucleic acid</subject><subject>RNA</subject><subject>RNA, Long Noncoding - genetics</subject><subject>RNA, Messenger - genetics</subject><subject>RNA, Messenger - metabolism</subject><subject>Survival</subject><subject>Survival analysis</subject><subject>Tumors</subject><issn>0016-6707</issn><issn>1573-6857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</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><recordid>eNp9kU1PGzEQhq2qCFLgD_RQWeqFQ5eOv3ePUVRSpASkCs6Wd3c22TTxpvamiH9fJxtA4tCLxxo_89ryQ8hnBtcMwHyPDAwUGXCWATCpMvGBjJgyItO5Mh_JKHV1pg2YM_IpxhUAFEYXp-RMyKIQhsOIhEm32QZcoo_tX6TOu_VzbCPtGtovkc589etuHL_ReTtU52s632-pq_rWL-hT2y9bf4CrFIWHJvq6W6DvdpEmlnrsn7rwex86m04vyEnj1hEvj_WcPN78eJj8zGb309vJeJZVwqg-4zqXSgLLgaPLmcx5CdrlTSmR14JDg6x2CrSSnFdpMWWtlHB5rXWJrjbinFwNudvQ_dlh7O2mjRWu185jepnlmuVcGMl1Qr--Q1fdLqS_2FOCGVmwQiWKD1QVuhgDNnYb2o0Lz5aB3RuxgxGbjNiDESvS0Jdj9K7cYP068qIgAWIAYjryCwxvd_8n9h_5XZQA</recordid><startdate>20220201</startdate><enddate>20220201</enddate><creator>Ding, Yiming</creator><creator>Liu, Hanjie</creator><creator>Zhang, Chuanbao</creator><creator>Bao, Zhaoshi</creator><creator>Yu, Shuqing</creator><general>Springer International Publishing</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>7QL</scope><scope>7SN</scope><scope>7SS</scope><scope>7T7</scope><scope>7TK</scope><scope>7U9</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>C1K</scope><scope>CCPQU</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>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/0000-0001-8012-2398</orcidid></search><sort><creationdate>20220201</creationdate><title>Comprehensive analysis of the LncRNAs, MiRNAs, and MRNAs acting within the competing endogenous RNA network of LGG</title><author>Ding, Yiming ; Liu, Hanjie ; Zhang, Chuanbao ; Bao, Zhaoshi ; Yu, Shuqing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-26845401802ea81482b06a8fb4e2d320fe1da5065422c5427bd553a8d66bead73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Animal Genetics and Genomics</topic><topic>Biological activity</topic><topic>Biomedical and Life Sciences</topic><topic>Cancer</topic><topic>Computer applications</topic><topic>Encyclopedias</topic><topic>Evolutionary Biology</topic><topic>Gene Regulatory Networks</topic><topic>Gene sequencing</topic><topic>Genes</topic><topic>Genomes</topic><topic>Glioma</topic><topic>Human Genetics</topic><topic>Humans</topic><topic>Life Sciences</topic><topic>Microbial Genetics and Genomics</topic><topic>MicroRNAs</topic><topic>MicroRNAs - genetics</topic><topic>MicroRNAs - metabolism</topic><topic>miRNA</topic><topic>mRNA</topic><topic>Non-coding RNA</topic><topic>Original Paper</topic><topic>Pathogenesis</topic><topic>Plant Genetics and Genomics</topic><topic>Ribonucleic acid</topic><topic>RNA</topic><topic>RNA, Long Noncoding - genetics</topic><topic>RNA, Messenger - genetics</topic><topic>RNA, Messenger - metabolism</topic><topic>Survival</topic><topic>Survival analysis</topic><topic>Tumors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ding, Yiming</creatorcontrib><creatorcontrib>Liu, Hanjie</creatorcontrib><creatorcontrib>Zhang, Chuanbao</creatorcontrib><creatorcontrib>Bao, Zhaoshi</creatorcontrib><creatorcontrib>Yu, Shuqing</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>Bacteriology Abstracts (Microbiology B)</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Health &amp; 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 Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</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>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</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>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>Genetica</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ding, Yiming</au><au>Liu, Hanjie</au><au>Zhang, Chuanbao</au><au>Bao, Zhaoshi</au><au>Yu, Shuqing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comprehensive analysis of the LncRNAs, MiRNAs, and MRNAs acting within the competing endogenous RNA network of LGG</atitle><jtitle>Genetica</jtitle><stitle>Genetica</stitle><addtitle>Genetica</addtitle><date>2022-02-01</date><risdate>2022</risdate><volume>150</volume><issue>1</issue><spage>41</spage><epage>50</epage><pages>41-50</pages><issn>0016-6707</issn><eissn>1573-6857</eissn><abstract>Messenger RNA (mRNA) and long noncoding RNA (lncRNA) targets interact via competitive microRNA (miRNA) binding. However, the roles of cancer-specific lncRNAs in the competing endogenous RNA (ceRNA) networks of low-grade glioma (LGG) remain unclear. This study obtained RNA sequencing data for normal solid tissue and LGG primary tumour tissue from The Cancer Genome Atlas database. We used a computational method to analyse the relationships among the mRNAs, lncRNAs, and miRNAs in these samples. Gene ontology (GO) function and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis was used to predict the biological processes (BPs) and pathways associated with these genes. Kaplan–Meier survival analysis was used to evaluate the association between the expression levels of specific mRNAs, lncRNAs, and miRNAs and overall survival. Finally, we created a ceRNA network describing the relationships among these mRNAs, lncRNAs, and miRNAs using Cytoscape 3.5.1. A total of 2555 differentially expressed (DE) mRNAs, 218 DElncRNAs, and 192 DEmiRNAs were identified using R. In addition, GO and KEGG pathway analysis of the mRNAs and lncRNAs in the ceRNA network identified 10 BPs, 10 cell components, 10 molecular functions, and 48 KEGG pathways as selectively enriched. A total of 55 lncRNAs, 50 miRNAs, and 10 mRNAs from this network were shown to be closely associated with overall survival in LGG. Finally, 59 miRNAs, 235 mRNAs, and 17 lncRNAs were used to develop a ceRNA network comprising 313 nodes and 1046 edges. This study helps expand our understanding of ceRNA networks and serves to clarify the underlying pathogenesis mechanism of LGG.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><pmid>34993720</pmid><doi>10.1007/s10709-021-00145-3</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-8012-2398</orcidid></addata></record>
fulltext fulltext
identifier ISSN: 0016-6707
ispartof Genetica, 2022-02, Vol.150 (1), p.41-50
issn 0016-6707
1573-6857
language eng
recordid cdi_proquest_miscellaneous_2618237426
source MEDLINE; SpringerNature Journals
subjects Animal Genetics and Genomics
Biological activity
Biomedical and Life Sciences
Cancer
Computer applications
Encyclopedias
Evolutionary Biology
Gene Regulatory Networks
Gene sequencing
Genes
Genomes
Glioma
Human Genetics
Humans
Life Sciences
Microbial Genetics and Genomics
MicroRNAs
MicroRNAs - genetics
MicroRNAs - metabolism
miRNA
mRNA
Non-coding RNA
Original Paper
Pathogenesis
Plant Genetics and Genomics
Ribonucleic acid
RNA
RNA, Long Noncoding - genetics
RNA, Messenger - genetics
RNA, Messenger - metabolism
Survival
Survival analysis
Tumors
title Comprehensive analysis of the LncRNAs, MiRNAs, and MRNAs acting within the competing endogenous RNA network of LGG
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T00%3A48%3A24IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Comprehensive%20analysis%20of%20the%20LncRNAs,%20MiRNAs,%20and%20MRNAs%20acting%20within%20the%20competing%20endogenous%20RNA%20network%20of%20LGG&rft.jtitle=Genetica&rft.au=Ding,%20Yiming&rft.date=2022-02-01&rft.volume=150&rft.issue=1&rft.spage=41&rft.epage=50&rft.pages=41-50&rft.issn=0016-6707&rft.eissn=1573-6857&rft_id=info:doi/10.1007/s10709-021-00145-3&rft_dat=%3Cproquest_cross%3E2631749195%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2631749195&rft_id=info:pmid/34993720&rfr_iscdi=true