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dc.contributor.authorHsu, Sheng-Daen_US
dc.contributor.authorChu, Chia-Hueien_US
dc.contributor.authorTsou, Ann-Pingen_US
dc.contributor.authorChen, Shu-Jenen_US
dc.contributor.authorChen, Hua-Chienen_US
dc.contributor.authorHsu, Paul Wei-Cheen_US
dc.contributor.authorWong, Yung-Haoen_US
dc.contributor.authorChen, Yi-Hsuanen_US
dc.contributor.authorChen, Gian-Hungen_US
dc.contributor.authorHuang, Hsien-Daen_US
dc.date.accessioned2014-12-08T15:12:46Z-
dc.date.available2014-12-08T15:12:46Z-
dc.date.issued2008-01-01en_US
dc.identifier.issn0305-1048en_US
dc.identifier.urihttp://dx.doi.org/10.1093/nar/gkm1012en_US
dc.identifier.urihttp://hdl.handle.net/11536/9842-
dc.description.abstractMicroRNAs (miRNAs) are small non-coding RNA molecules that can negatively regulate gene expression and thus control numerous cellular mechanisms. This work develops a resource, miRNAMap 2.0, for collecting experimentally verified microRNAs and experimentally verified miRNA target genes in human, mouse, rat and other metazoan genomes. Three computational tools, miRanda, RNAhybrid and TargetScan, were employed to identify miRNA targets in 3-UTR of genes as well as the known miRNA targets. Various criteria for filtering the putative miRNA targets are applied to reduce the false positive prediction rate of miRNA target sites. Additionally, miRNA expression profiles can provide valuable clues on the characteristics of miRNAs, including tissue specificity and differential expression in cancer/normal cell. Therefore, quantitative polymerase chain reaction experiments were performed to monitor the expression profiles of 224 human miRNAs in 18 major normal tissues in human. The negative correlation between the miRNA expression profile and the expression profiles of its target genes typically helps to elucidate the regulatory functions of the miRNA. The interface is also redesigned and enhanced. The miRNAMap 2.0 is now available at http://miRNAMap.mbc.nctu.edu.tw/.en_US
dc.language.isoen_USen_US
dc.titlemiRNAMap 2.0: genomic maps of microRNAs in metazoan genomesen_US
dc.typeArticleen_US
dc.identifier.doi10.1093/nar/gkm1012en_US
dc.identifier.journalNUCLEIC ACIDS RESEARCHen_US
dc.citation.volume36en_US
dc.citation.issueen_US
dc.citation.spageD165en_US
dc.citation.epageD169en_US
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000252545400030-
dc.citation.woscount102-
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