Show simple item record

dc.contributor.authorDedeoğlu, Bala Gür
dc.contributor.otherÖztemur, Yasemin
dc.contributor.otherBekmez, Tufan
dc.contributor.otherAydos, Alp
dc.date.accessioned2020-05-08T12:30:10Z
dc.date.available2020-05-08T12:30:10Z
dc.date.issued2015
dc.identifier.othere0126837tr_TR
dc.identifier.urihttps://doi.org/10.1371/journal.pone.0126837tr_TR
dc.identifier.urihttp://hdl.handle.net/20.500.12575/71235
dc.description.abstractBreast cancer is one of the most important causes of cancer-related deaths worldwide in women. In addition to gene expression studies, the progressing work in the miRNA area including miRNA microarray studies, brings new aspects to the research on the cancer development and progression. Microarray technology has been widely used to find new biomarkers in research and many transcriptomic microarray studies are available in public databases. In this study, the breast cancer miRNA and mRNA microarray studies were collected according to the availability of their data and clinical information, and combined by a newly developed ranking-based meta-analysis approach to find out candidate miRNA biomarkers (meta-miRNAs) that classify breast cancers according to their grades and explain the relation between miRNAs and mRNAs. This approach provided meta-miRNAs specific to breast cancer grades, pointing out let-7 family members as grade classifiers. The qRTPCR studies performed with independent breast tumors confirmed the potential biomarker role of let-7 family members (meta-miRNAs). The concordance between the meta-mRNAs and miRNA target genes specific to tumor grade (common genes) supported the idea of mRNAs as miRNA targets. The pathway analysis results showed that most of the let-7 family miRNA targets, and also common genes, were significantly taking part in cancer-related pathways. The qRT-PCR studies, together with bioinformatic analyses, confirmed the results of meta-analysis approach, which is dynamic and allows combining datasets from different platforms. © 2015 Oztemur et al.tr_TR
dc.language.isoentr_TR
dc.relation.isversionof10.1371/journal.pone.0126837tr_TR
dc.subjectMicroRNAstr_TR
dc.titleA ranking-based meta-analysis reveals let-7 family as a meta-signature for grade classification in breast cancertr_TR
dc.typeArticletr_TR
dc.relation.journalPLoS ONEtr_TR
dc.contributor.departmentBiyoteknoloji Enstitüsütr_TR
dc.identifier.volume10tr_TR
dc.identifier.issue5tr_TR
dc.identifier.startpage01tr_TR
dc.identifier.endpage16tr_TR
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıtr_TR


Files in this item

This item appears in the following Collection(s)

Show simple item record