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dc.contributor.authorLiu, Yu-Chenen_US
dc.contributor.authorHong, Hsiao-Chinen_US
dc.contributor.authorYang, Chi-Dungen_US
dc.contributor.authorLee, Wei-Hsiangen_US
dc.contributor.authorHuang, Hsin-Tzuen_US
dc.contributor.authorHuang, Hsien-Daen_US
dc.date.accessioned2018-08-21T05:53:38Z-
dc.date.available2018-08-21T05:53:38Z-
dc.date.issued2018-05-09en_US
dc.identifier.issn1471-2164en_US
dc.identifier.urihttp://dx.doi.org/10.1186/s12864-018-4456-9en_US
dc.identifier.urihttp://hdl.handle.net/11536/144964-
dc.description.abstractBackground: Emerging evidence indicates that Circular RNAs (circRNAs) exert post-transcriptional regulation of gene expression. A subclass of circRNA was found enriched with miRNA target sites. This evidence suggests that this kind of circRNA functions as natural miRNA sponge. Noticing the potential impacts of circular RNA research, we were motivated to identify novel circRNAs as well as putative circRNA-miRNA interactions through retroactive sourced transcriptome sequencing samples. Results: Through the analysis in 465 RNA-seq runs and 22 reports published in recent years, putatively circRNA sponged miRNA that had been experimentally verified targeting circRNA host gene were found. From this observation, supporting evidence of the competitive endogenous relationship of circRNAs and miRNAs targeting circRNA host genes can be observed. Given the self-regulation and self-induction nature of these circRNAs, this kind of hypothetical phenomenon was hereby called Ouroboros Resembling Competitive Endogenous Loop (ORCEL) in circular RNAs. Conclusions: The fact that miRNA sponge circRNA originated from region miRNA target sites enriched regions, while genes encoded from these regions are conserved to be miRNA targets rationalize the existence of ORCEL.en_US
dc.language.isoen_USen_US
dc.subjectCircRNAen_US
dc.subjectCircNeten_US
dc.subjectCERNAen_US
dc.subjectmiRNA spongeen_US
dc.subjectORCELen_US
dc.titleOuroboros resembling competitive endogenous loop (ORCEL) in circular RNAs revealed through transcriptome sequencing dataset analysisen_US
dc.typeArticleen_US
dc.identifier.doi10.1186/s12864-018-4456-9en_US
dc.identifier.journalBMC GENOMICSen_US
dc.citation.volume19en_US
dc.citation.issue2en_US
dc.contributor.department生物科技學系zh_TW
dc.contributor.department生物資訊及系統生物研究所zh_TW
dc.contributor.departmentDepartment of Biological Science and Technologyen_US
dc.contributor.departmentInstitude of Bioinformatics and Systems Biologyen_US
dc.identifier.wosnumberWOS:000431831100008en_US
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