The network of microRNAs, transcription factors, target genes and host genes in human renal cell carcinoma
At present, scientists have performed numerous studies investigating the morbidity of renal cell carcinoma (RCC) in the genetic and microRNA (miRNA) fields, obtaining a substantial amount of knowledge. However, the experimentally validated data of genes, miRNA and transcription factors (TFs) cannot...
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Veröffentlicht in: | Oncology letters 2015-01, Vol.9 (1), p.498-506 |
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description | At present, scientists have performed numerous studies investigating the morbidity of renal cell carcinoma (RCC) in the genetic and microRNA (miRNA) fields, obtaining a substantial amount of knowledge. However, the experimentally validated data of genes, miRNA and transcription factors (TFs) cannot be found in a unified form, which makes it challenging to decipher the regulatory mechanisms. In the present study, the genes, miRNAs and TFs involved in RCC are regarded as elements in the regulatory network, and the present study therefore focuses on the association between each entity. Three regulatory networks were constructed hierarchically to indicate the regulatory association between the genes, miRNAs and TFs clearly, including the differentially expressed, associated and global networks. All the elements were macroscopically investigated in these networks, instead of only investigating one or several of them. The present study not only compared and analyzed the similarities and the differences between the three networks, but also systematically expounded the pathogenesis of RCC and supplied theoretical foundations for future gene therapy investigations. Following the construction of the three networks, certain important pathways were highlighted. The upstream and downstream element table of differentially expressed genes and miRNAs was listed, in which self-adaption associations and circle-regulations were identified. In future studies, the identified genes and miRNAs should be granted more attention. |
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However, the experimentally validated data of genes, miRNA and transcription factors (TFs) cannot be found in a unified form, which makes it challenging to decipher the regulatory mechanisms. In the present study, the genes, miRNAs and TFs involved in RCC are regarded as elements in the regulatory network, and the present study therefore focuses on the association between each entity. Three regulatory networks were constructed hierarchically to indicate the regulatory association between the genes, miRNAs and TFs clearly, including the differentially expressed, associated and global networks. All the elements were macroscopically investigated in these networks, instead of only investigating one or several of them. The present study not only compared and analyzed the similarities and the differences between the three networks, but also systematically expounded the pathogenesis of RCC and supplied theoretical foundations for future gene therapy investigations. 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Spandidos</publisher><subject>Analysis ; Binding sites ; Carcinoma, Renal cell ; Datasets ; Development and progression ; Gene expression ; Genetic aspects ; host genes ; Kidney cancer ; Methods ; MicroRNA ; MicroRNAs ; network ; Physiological aspects ; renal cell carcinoma ; Studies ; target genes ; Transcription factors</subject><ispartof>Oncology letters, 2015-01, Vol.9 (1), p.498-506</ispartof><rights>Copyright © 2015, Spandidos Publications</rights><rights>COPYRIGHT 2015 Spandidos Publications</rights><rights>Copyright Spandidos Publications UK Ltd. 2015</rights><rights>Copyright © 2015, Spandidos Publications 2015</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c541t-af29437bf513b23d8fcf606f9c3229e88e1f5b154c50f95faba00ce21b954b7a3</citedby><cites>FETCH-LOGICAL-c541t-af29437bf513b23d8fcf606f9c3229e88e1f5b154c50f95faba00ce21b954b7a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4246619/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4246619/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,5556,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25436016$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>SONG, CHENGLU</creatorcontrib><creatorcontrib>XU, ZHIWEN</creatorcontrib><creatorcontrib>JIN, YUE</creatorcontrib><creatorcontrib>ZHU, MINGHUI</creatorcontrib><creatorcontrib>WANG, KUNHAO</creatorcontrib><creatorcontrib>WANG, NING</creatorcontrib><title>The network of microRNAs, transcription factors, target genes and host genes in human renal cell carcinoma</title><title>Oncology letters</title><addtitle>Oncol Lett</addtitle><description>At present, scientists have performed numerous studies investigating the morbidity of renal cell carcinoma (RCC) in the genetic and microRNA (miRNA) fields, obtaining a substantial amount of knowledge. However, the experimentally validated data of genes, miRNA and transcription factors (TFs) cannot be found in a unified form, which makes it challenging to decipher the regulatory mechanisms. In the present study, the genes, miRNAs and TFs involved in RCC are regarded as elements in the regulatory network, and the present study therefore focuses on the association between each entity. Three regulatory networks were constructed hierarchically to indicate the regulatory association between the genes, miRNAs and TFs clearly, including the differentially expressed, associated and global networks. All the elements were macroscopically investigated in these networks, instead of only investigating one or several of them. The present study not only compared and analyzed the similarities and the differences between the three networks, but also systematically expounded the pathogenesis of RCC and supplied theoretical foundations for future gene therapy investigations. Following the construction of the three networks, certain important pathways were highlighted. The upstream and downstream element table of differentially expressed genes and miRNAs was listed, in which self-adaption associations and circle-regulations were identified. In future studies, the identified genes and miRNAs should be granted more attention.</description><subject>Analysis</subject><subject>Binding sites</subject><subject>Carcinoma, Renal cell</subject><subject>Datasets</subject><subject>Development and progression</subject><subject>Gene expression</subject><subject>Genetic aspects</subject><subject>host genes</subject><subject>Kidney cancer</subject><subject>Methods</subject><subject>MicroRNA</subject><subject>MicroRNAs</subject><subject>network</subject><subject>Physiological aspects</subject><subject>renal cell carcinoma</subject><subject>Studies</subject><subject>target genes</subject><subject>Transcription factors</subject><issn>1792-1074</issn><issn>1792-1082</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNptkttrFDEUhwdRbGn75rMEBPGhs-Y-yYuwFC-FoiD1OWQyyU7WmWRNZir-92Zou9sVE8j1O-dwzvlV1SsEV0RI_D4OKwwRXWEuyLPqFDUS1wgK_Hx_buhJdZHzFpbBOBKCv6xOMKOEQ8RPq-1tb0Gw0--YfoLowOhNit-_rvMlmJIO2SS_m3wMwGkzxbQ867SxE9jYYDPQoQN9zI9XH0A_jzqAZIMegLFDWXQyPsRRn1cvnB6yvXjYz6ofnz7eXn2pb759vr5a39SGUTTV2mFJSdM6hkiLSSeccRxyJw3BWFohLHKsRYwaBp1kTrcaQmMxaiWjbaPJWfXh3u9ubkfbGRtKJoPaJT_q9EdF7dXxT_C92sQ7RTHlHMni4N2DgxR_zTZPavR5yUUHG-eskMCcw6ZBtKBv_kG3cU4l90JJgjlhhDcHaqMHq3xwscQ1i1O1phBhxAQlhVr9hyqzs6UrMVjny_uRwdsnBr3Vw9TnOMxLv_IxeHkPlt7mnKzbFwNBtehIxUEtOlKLjgr--mkB9_Cjag6B864IwHcxH6o71FDWENWQSkH-AjMWzhc</recordid><startdate>20150101</startdate><enddate>20150101</enddate><creator>SONG, CHENGLU</creator><creator>XU, ZHIWEN</creator><creator>JIN, YUE</creator><creator>ZHU, MINGHUI</creator><creator>WANG, KUNHAO</creator><creator>WANG, NING</creator><general>D.A. Spandidos</general><general>Spandidos Publications</general><general>Spandidos Publications UK Ltd</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20150101</creationdate><title>The network of microRNAs, transcription factors, target genes and host genes in human renal cell carcinoma</title><author>SONG, CHENGLU ; XU, ZHIWEN ; JIN, YUE ; ZHU, MINGHUI ; WANG, KUNHAO ; WANG, NING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c541t-af29437bf513b23d8fcf606f9c3229e88e1f5b154c50f95faba00ce21b954b7a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Analysis</topic><topic>Binding sites</topic><topic>Carcinoma, Renal cell</topic><topic>Datasets</topic><topic>Development and progression</topic><topic>Gene expression</topic><topic>Genetic aspects</topic><topic>host genes</topic><topic>Kidney cancer</topic><topic>Methods</topic><topic>MicroRNA</topic><topic>MicroRNAs</topic><topic>network</topic><topic>Physiological aspects</topic><topic>renal cell carcinoma</topic><topic>Studies</topic><topic>target genes</topic><topic>Transcription factors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>SONG, CHENGLU</creatorcontrib><creatorcontrib>XU, ZHIWEN</creatorcontrib><creatorcontrib>JIN, YUE</creatorcontrib><creatorcontrib>ZHU, MINGHUI</creatorcontrib><creatorcontrib>WANG, KUNHAO</creatorcontrib><creatorcontrib>WANG, NING</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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>British Nursing Database</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Oncology letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>SONG, CHENGLU</au><au>XU, ZHIWEN</au><au>JIN, YUE</au><au>ZHU, MINGHUI</au><au>WANG, KUNHAO</au><au>WANG, NING</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The network of microRNAs, transcription factors, target genes and host genes in human renal cell carcinoma</atitle><jtitle>Oncology letters</jtitle><addtitle>Oncol Lett</addtitle><date>2015-01-01</date><risdate>2015</risdate><volume>9</volume><issue>1</issue><spage>498</spage><epage>506</epage><pages>498-506</pages><issn>1792-1074</issn><eissn>1792-1082</eissn><abstract>At present, scientists have performed numerous studies investigating the morbidity of renal cell carcinoma (RCC) in the genetic and microRNA (miRNA) fields, obtaining a substantial amount of knowledge. However, the experimentally validated data of genes, miRNA and transcription factors (TFs) cannot be found in a unified form, which makes it challenging to decipher the regulatory mechanisms. In the present study, the genes, miRNAs and TFs involved in RCC are regarded as elements in the regulatory network, and the present study therefore focuses on the association between each entity. Three regulatory networks were constructed hierarchically to indicate the regulatory association between the genes, miRNAs and TFs clearly, including the differentially expressed, associated and global networks. All the elements were macroscopically investigated in these networks, instead of only investigating one or several of them. The present study not only compared and analyzed the similarities and the differences between the three networks, but also systematically expounded the pathogenesis of RCC and supplied theoretical foundations for future gene therapy investigations. 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subjects | Analysis Binding sites Carcinoma, Renal cell Datasets Development and progression Gene expression Genetic aspects host genes Kidney cancer Methods MicroRNA MicroRNAs network Physiological aspects renal cell carcinoma Studies target genes Transcription factors |
title | The network of microRNAs, transcription factors, target genes and host genes in human renal cell carcinoma |
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