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dc.contributor.authorNosirov, Bakhtiyoren
dc.contributor.authorBillaud, Joëlen
dc.contributor.authorVandenbon, Alexisen
dc.contributor.authorDiez, Diegoen
dc.contributor.authorWijaya, Edwarden
dc.contributor.authorIshii, Ken J.en
dc.contributor.authorTeraguchi, Shunsukeen
dc.contributor.authorStandley, Daron M.en
dc.date.accessioned2018-06-26T04:39:19Z-
dc.date.available2018-06-26T04:39:19Z-
dc.date.issued2017-
dc.identifier.issn1178-6949-
dc.identifier.urihttp://hdl.handle.net/2433/232503-
dc.description.abstractPurpose: Evidence suggests that circulating serum microRNAs (miRNAs) might preferentially target immune-related mRNAs. If this were the case, we hypothesized that immune-related mRNAs would have more predicted serum miRNA binding sites than other mRNAs and, reciprocally, that serum miRNAs would have more immune-related mRNA targets than non-serum miRNAs. Materials and methods: We developed a consensus target predictor using the random forest framework and calculated the number of predicted miRNA–mRNA interactions in various subsets of miRNAs (serum, non-serum) and mRNAs (immune related, nonimmune related). Results: Immune-related mRNAs were predicted to be targeted by serum miRNA more than other mRNAs. Moreover, serum miRNAs were predicted to target many more immune-related mRNA targets than non-serum miRNAs; however, these two biases in immune-related mRNAs and serum miRNAs appear to be completely independent. Conclusion: Immune-related mRNAs have more miRNA binding sites in general, not just for serum miRNAs; likewise, serum miRNAs target many more mRNAs than non-serum miRNAs overall, regardless of whether they are immune related or not. Nevertheless, these two independent phenomena result in a significantly larger number of predicted serum miRNA–immune mRNA interactions than would be expected by chance.en
dc.format.mimetypeapplication/pdf-
dc.language.isoeng-
dc.publisherDove Medical Press Ltd.en
dc.rightsThis work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution - Non Commercial (unported, v3.0) License. By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms.en
dc.subjectbiomarkeren
dc.subjectposttranscriptional regulationen
dc.subjectrandom foresten
dc.subjecttarget predictionen
dc.titleMapping circulating serum miRNAs to their immune-related target mRNAsen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleAdvances and Applications in Bioinformatics and Chemistry : AABCen
dc.identifier.volume10-
dc.identifier.spage1-
dc.identifier.epage9-
dc.relation.doi10.2147/AABC.S121598-
dc.textversionpublisher-
dc.addressSystems Immunology Lab, WPI Immunology Frontier Research Center, Osaka Universityen
dc.addressSystems Immunology Lab, WPI Immunology Frontier Research Center, Osaka Universityen
dc.addressImmuno-Genomics Research Unit, Immunology Frontier Research Center, Osaka Universityen
dc.addressQuantitative Immunology Research Unit, Immunology Frontier Research Center, Osaka Universityen
dc.addressSystems Immunology Lab, WPI Immunology Frontier Research Center, Osaka Universityen
dc.addressLaboratory of Vaccine Science, WPI Immunology Frontier Research Center, Osaka University・Laboratory of Adjuvant Innovation, National Institute of Biomedical Innovation, Osakaen
dc.addressQuantitative Immunology Research Unit, Immunology Frontier Research Center, Osaka Universityen
dc.addressSystems Immunology Lab, WPI Immunology Frontier Research Center, Osaka University・ Lab of Integrated Biological Information, Institute for Virus Research Kyoto Universityen
dc.identifier.pmid28203094-
dcterms.accessRightsopen access-
dc.identifier.eissn1178-6949-
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