Genome‐wide profiling of mRNA and lncRNA expression in dengue fever and dengue hemorrhagic fever
Dengue fever (DF) and dengue hemorrhagic fever (DHF) are recurrent diseases that are widespread in the tropics. Here, we identified candidate genes associated with these diseases by performing integrated analyses of DF (GSE51808) and DHF (GSE18090) microarray datasets in the Gene Expression Omnibus...
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| Veröffentlicht in: | FEBS open bio 2019-03, Vol.9 (3), p.468-477 |
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| creator | Zhong, Xiao‐Lan Liao, Xiao‐Ming Shen, Fei Yu, Hai‐Jian Yan, Wen‐Sheng Zhang, Yun‐Fang Ye, Jia‐Jun Lv, Zhi‐Ping |
| description | Dengue fever (DF) and dengue hemorrhagic fever (DHF) are recurrent diseases that are widespread in the tropics. Here, we identified candidate genes associated with these diseases by performing integrated analyses of DF (GSE51808) and DHF (GSE18090) microarray datasets in the Gene Expression Omnibus (GEO). In all, we identified 7635 differentially expressed genes (DEGs) in DF and 8147 DEGs in DHF as compared to healthy controls (P |
| doi_str_mv | 10.1002/2211-5463.12576 |
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The genes encoding MAGED1, STAT1, and IL12A were identified as playing roles in dengue fever and dengue hemorrhagic fever. This finding may facilitate the identification of biomarkers and development of new drug design strategies for dengue fever and dengue hemorrhagic fever treatment.</description><identifier>ISSN: 2211-5463</identifier><identifier>EISSN: 2211-5463</identifier><identifier>DOI: 10.1002/2211-5463.12576</identifier><identifier>PMID: 30868055</identifier><language>eng</language><publisher>England: John Wiley and Sons Inc</publisher><subject>Biomarkers - analysis ; DEGs ; DElncRNAs ; Dengue - genetics ; dengue fever ; dengue hemorrhagic fever ; Gene Expression Profiling ; genome profiling ; Humans ; integrated analysis ; RNA, Long Noncoding - genetics ; RNA, Messenger - genetics ; Severe Dengue - genetics</subject><ispartof>FEBS open bio, 2019-03, Vol.9 (3), p.468-477</ispartof><rights>2018 The Authors. Published by FEBS Press and John Wiley & Sons Ltd.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396354/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396354/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,724,777,781,861,882,1412,11543,27905,27906,45555,45556,46033,46457,53772,53774</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/30868055$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhong, Xiao‐Lan</creatorcontrib><creatorcontrib>Liao, Xiao‐Ming</creatorcontrib><creatorcontrib>Shen, Fei</creatorcontrib><creatorcontrib>Yu, Hai‐Jian</creatorcontrib><creatorcontrib>Yan, Wen‐Sheng</creatorcontrib><creatorcontrib>Zhang, Yun‐Fang</creatorcontrib><creatorcontrib>Ye, Jia‐Jun</creatorcontrib><creatorcontrib>Lv, Zhi‐Ping</creatorcontrib><title>Genome‐wide profiling of mRNA and lncRNA expression in dengue fever and dengue hemorrhagic fever</title><title>FEBS open bio</title><addtitle>FEBS Open Bio</addtitle><description>Dengue fever (DF) and dengue hemorrhagic fever (DHF) are recurrent diseases that are widespread in the tropics. Here, we identified candidate genes associated with these diseases by performing integrated analyses of DF (GSE51808) and DHF (GSE18090) microarray datasets in the Gene Expression Omnibus (GEO). In all, we identified 7635 differentially expressed genes (DEGs) in DF and 8147 DEGs in DHF as compared to healthy controls (P < 0.05). In addition, we discovered 215 differentially expressed long non‐coding RNAs (DElncRNAs) in DF and 225 DElncRNAs in DHF. There were 1256 common DEGs and eight common DElncRNAs in DHF vs DF, DHF vs normal control, and DF vs normal control groups. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that signal transduction (false discovery rate = 8.33E‐10), ‘toxoplasmosis’, and ‘protein processing in endoplasmic reticulum’ were significantly enriched pathways for common DEGs. We conclude that the MAGED1,STAT1, and IL12A genes may play crucial roles in DF and DHF, and suggest that our findings may facilitate the identification of biomarkers and the development of new drug design strategies for DF and DHF treatment.
The genes encoding MAGED1, STAT1, and IL12A were identified as playing roles in dengue fever and dengue hemorrhagic fever. This finding may facilitate the identification of biomarkers and development of new drug design strategies for dengue fever and dengue hemorrhagic fever treatment.</description><subject>Biomarkers - analysis</subject><subject>DEGs</subject><subject>DElncRNAs</subject><subject>Dengue - genetics</subject><subject>dengue fever</subject><subject>dengue hemorrhagic fever</subject><subject>Gene Expression Profiling</subject><subject>genome profiling</subject><subject>Humans</subject><subject>integrated analysis</subject><subject>RNA, Long Noncoding - genetics</subject><subject>RNA, Messenger - genetics</subject><subject>Severe Dengue - genetics</subject><issn>2211-5463</issn><issn>2211-5463</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>24P</sourceid><sourceid>WIN</sourceid><sourceid>EIF</sourceid><recordid>eNpVUctOwzAQtBAIUOHMDeXIpWUdx65zQSpVW5AQSAjOluNsUqPELk4f9MYn8I18CX1RwV52tDOakXYIuaDQoQDxdRxT2uaJYB0a8644IKf7y-EffELOm-YNViOACoBjcsJACgmcn5JshM7X-P35tbA5RpPgC1tZV0a-iOrnx16kXR5VzqwhfkwCNo31LrIuytGVM4wKnGPYqHaHMdY-hLEurdmSZ-So0FWD57vdIq_DwUv_rv3wNLrv9x7aJZOxaCcSdMEzSJMiE4UUEOsuMwnGzGgjjZZgcipSlFmaQxcEJrzINTeQyixDw1mL3Gx9J7OsxtygmwZdqUmwtQ5L5bVV_xlnx6r0cyVYKhhPVgZXO4Pg32fYTFVtG4NVpR36WaNimlLGRbJSt8jl36x9yO9jVwKxFSxshcs9T0Gtq1PrctS6HLWpTg0Ht8kGsR9Yl40z</recordid><startdate>201903</startdate><enddate>201903</enddate><creator>Zhong, Xiao‐Lan</creator><creator>Liao, Xiao‐Ming</creator><creator>Shen, Fei</creator><creator>Yu, Hai‐Jian</creator><creator>Yan, Wen‐Sheng</creator><creator>Zhang, Yun‐Fang</creator><creator>Ye, Jia‐Jun</creator><creator>Lv, Zhi‐Ping</creator><general>John Wiley and Sons Inc</general><scope>24P</scope><scope>WIN</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>201903</creationdate><title>Genome‐wide profiling of mRNA and lncRNA expression in dengue fever and dengue hemorrhagic fever</title><author>Zhong, Xiao‐Lan ; Liao, Xiao‐Ming ; Shen, Fei ; Yu, Hai‐Jian ; Yan, Wen‐Sheng ; Zhang, Yun‐Fang ; Ye, Jia‐Jun ; Lv, Zhi‐Ping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g3826-480af5b094fb6f8602a73c4e23cac8ca80cd169e8b9d0706e45fda5c098bbec53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Biomarkers - analysis</topic><topic>DEGs</topic><topic>DElncRNAs</topic><topic>Dengue - genetics</topic><topic>dengue fever</topic><topic>dengue hemorrhagic fever</topic><topic>Gene Expression Profiling</topic><topic>genome profiling</topic><topic>Humans</topic><topic>integrated analysis</topic><topic>RNA, Long Noncoding - genetics</topic><topic>RNA, Messenger - genetics</topic><topic>Severe Dengue - genetics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhong, Xiao‐Lan</creatorcontrib><creatorcontrib>Liao, Xiao‐Ming</creatorcontrib><creatorcontrib>Shen, Fei</creatorcontrib><creatorcontrib>Yu, Hai‐Jian</creatorcontrib><creatorcontrib>Yan, Wen‐Sheng</creatorcontrib><creatorcontrib>Zhang, Yun‐Fang</creatorcontrib><creatorcontrib>Ye, Jia‐Jun</creatorcontrib><creatorcontrib>Lv, Zhi‐Ping</creatorcontrib><collection>Wiley Online Library Open Access</collection><collection>Wiley Free Content</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>FEBS open bio</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhong, Xiao‐Lan</au><au>Liao, Xiao‐Ming</au><au>Shen, Fei</au><au>Yu, Hai‐Jian</au><au>Yan, Wen‐Sheng</au><au>Zhang, Yun‐Fang</au><au>Ye, Jia‐Jun</au><au>Lv, Zhi‐Ping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Genome‐wide profiling of mRNA and lncRNA expression in dengue fever and dengue hemorrhagic fever</atitle><jtitle>FEBS open bio</jtitle><addtitle>FEBS Open Bio</addtitle><date>2019-03</date><risdate>2019</risdate><volume>9</volume><issue>3</issue><spage>468</spage><epage>477</epage><pages>468-477</pages><issn>2211-5463</issn><eissn>2211-5463</eissn><abstract>Dengue fever (DF) and dengue hemorrhagic fever (DHF) are recurrent diseases that are widespread in the tropics. Here, we identified candidate genes associated with these diseases by performing integrated analyses of DF (GSE51808) and DHF (GSE18090) microarray datasets in the Gene Expression Omnibus (GEO). In all, we identified 7635 differentially expressed genes (DEGs) in DF and 8147 DEGs in DHF as compared to healthy controls (P < 0.05). In addition, we discovered 215 differentially expressed long non‐coding RNAs (DElncRNAs) in DF and 225 DElncRNAs in DHF. There were 1256 common DEGs and eight common DElncRNAs in DHF vs DF, DHF vs normal control, and DF vs normal control groups. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis revealed that signal transduction (false discovery rate = 8.33E‐10), ‘toxoplasmosis’, and ‘protein processing in endoplasmic reticulum’ were significantly enriched pathways for common DEGs. We conclude that the MAGED1,STAT1, and IL12A genes may play crucial roles in DF and DHF, and suggest that our findings may facilitate the identification of biomarkers and the development of new drug design strategies for DF and DHF treatment.
The genes encoding MAGED1, STAT1, and IL12A were identified as playing roles in dengue fever and dengue hemorrhagic fever. This finding may facilitate the identification of biomarkers and development of new drug design strategies for dengue fever and dengue hemorrhagic fever treatment.</abstract><cop>England</cop><pub>John Wiley and Sons Inc</pub><pmid>30868055</pmid><doi>10.1002/2211-5463.12576</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
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| source | MEDLINE; DOAJ Directory of Open Access Journals; Wiley Online Library Journals Frontfile Complete; Wiley Online Library Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | Biomarkers - analysis DEGs DElncRNAs Dengue - genetics dengue fever dengue hemorrhagic fever Gene Expression Profiling genome profiling Humans integrated analysis RNA, Long Noncoding - genetics RNA, Messenger - genetics Severe Dengue - genetics |
| title | Genome‐wide profiling of mRNA and lncRNA expression in dengue fever and dengue hemorrhagic fever |
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