The co-regulation mechanism of transcription factors in the human gene regulatory network

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dc.contributor.authorKim, Junilko
dc.contributor.authorChoi, Minsooko
dc.contributor.authorKim, Jeong-Raeko
dc.contributor.authorJin, Huako
dc.contributor.authorKim, V. Narryko
dc.contributor.authorCho, Kwang-Hyunko
dc.date.accessioned2013-03-13T02:14:34Z-
dc.date.available2013-03-13T02:14:34Z-
dc.date.created2012-11-29-
dc.date.created2012-11-29-
dc.date.issued2012-10-
dc.identifier.citationNUCLEIC ACIDS RESEARCH, v.40, no.18, pp.8849 - 8861-
dc.identifier.issn0305-1048-
dc.identifier.urihttp://hdl.handle.net/10203/104215-
dc.description.abstractThe co-regulation of transcription factors (TFs) has been widely observed in various species. Why is such a co-regulation mechanism needed for transcriptional regulation? To answer this question, the following experiments and analyses were performed. First, examination of the human gene regulatory network (GRN) indicated that co-regulation was significantly enriched in the human GRN. Second, mathematical simulation of an artificial regulatory network showed that the co-regulation mechanism was related to the biphasic dose-response patterns of TFs. Third, the relationship between the co-regulation mechanism and the biphasic dose-response pattern was confirmed using microarray experiments examining different time points and different doses of the toxicant tetrachlorodibenzodioxin. Finally, two mathematical models were constructed to mimic highly co-regulated networks (HCNs) and little co-regulated networks (LCNs), and we found that HCNs were more robust to parameter perturbation than LCNs, whereas LCNs were faster in adaptation to environmental changes than HCNs.-
dc.languageEnglish-
dc.publisherOXFORD UNIV PRESS-
dc.subjectEVOLUTIONARY DESIGN PRINCIPLES-
dc.subjectEXPRESSION-
dc.subjectROBUSTNESS-
dc.subjectPROFILES-
dc.subjectDATABASE-
dc.subjectSYSTEM-
dc.subjectMODULE-
dc.subjectATLAS-
dc.subjectMOUSE-
dc.subjectYEAST-
dc.titleThe co-regulation mechanism of transcription factors in the human gene regulatory network-
dc.typeArticle-
dc.identifier.wosid000309927100015-
dc.identifier.scopusid2-s2.0-84867524223-
dc.type.rimsART-
dc.citation.volume40-
dc.citation.issue18-
dc.citation.beginningpage8849-
dc.citation.endingpage8861-
dc.citation.publicationnameNUCLEIC ACIDS RESEARCH-
dc.identifier.doi10.1093/nar/gks664-
dc.contributor.localauthorCho, Kwang-Hyun-
dc.contributor.nonIdAuthorKim, Jeong-Rae-
dc.contributor.nonIdAuthorJin, Hua-
dc.contributor.nonIdAuthorKim, V. Narry-
dc.description.isOpenAccessY-
dc.type.journalArticleArticle-
dc.subject.keywordPlusEVOLUTIONARY DESIGN PRINCIPLES-
dc.subject.keywordPlusEXPRESSION-
dc.subject.keywordPlusROBUSTNESS-
dc.subject.keywordPlusPROFILES-
dc.subject.keywordPlusDATABASE-
dc.subject.keywordPlusSYSTEM-
dc.subject.keywordPlusMODULE-
dc.subject.keywordPlusATLAS-
dc.subject.keywordPlusMOUSE-
dc.subject.keywordPlusYEAST-
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