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dc.creatorPerdikopanis N., Georgakilas G.K., Grigoriadis D., Pierros V., Kavakiotis I., Alexiou P., Hatzigeorgiou A.en
dc.date.accessioned2023-01-31T09:47:14Z
dc.date.available2023-01-31T09:47:14Z
dc.date.issued2021
dc.identifier10.1093/nar/gkaa1060
dc.identifier.issn03051048
dc.identifier.urihttp://hdl.handle.net/11615/78054
dc.description.abstractDeregulation of microRNA (miRNA) expression plays a critical role in the transition from a physiological to a pathological state. The accurate miRNA promoter identification in multiple cell types is a fundamental endeavor towards understanding and characterizing the underlying mechanisms of both physiological as well as pathological conditions. DIANA-miRGen v4 (www.microrna.gr/mirgenv4) provides cell type specific miRNA transcription start sites (TSSs) for over 1500 miRNAs retrieved from the analysis of >1000 cap analysis of gene expression (CAGE) samples corresponding to 133 tissues, cell lines and primary cells available in FANTOM repository. MiRNA TSS locations were associated with transcription factor binding site (TFBSs) annotation, for >280 TFs, derived from analyzing the majority of ENCODE ChIP-Seq datasets. For the first time, clusters of cell types having common miRNA TSSs are characterized and provided through a user friendly interface with multiple layers of customization. DIANA-miRGen v4 significantly improves our understanding of miRNA biogenesis regulation at the transcriptional level by providing a unique integration of high-quality annotations for hundreds of cell specific miRNA promoters with experimentally derived TFBSs. © 2021 The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research.en
dc.language.isoenen
dc.sourceNucleic Acids Researchen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85099427544&doi=10.1093%2fnar%2fgkaa1060&partnerID=40&md5=5fdba283489701171065eaef79f3095a
dc.subjectmicroRNAen
dc.subjectmicroRNAen
dc.subjectprotein bindingen
dc.subjecttranscription factoren
dc.subjectArticleen
dc.subjectbinding siteen
dc.subjectgene expression regulationen
dc.subjectgene regulatory networken
dc.subjectlearning algorithmen
dc.subjectmolecular interactionen
dc.subjectnucleic acid databaseen
dc.subjectprimary cellen
dc.subjectRNA analysisen
dc.subjecttranscription initiation siteen
dc.subjecttranscription regulationen
dc.subjectcell lineen
dc.subjectgenetic transcriptionen
dc.subjectgeneticsen
dc.subjectgenomeen
dc.subjecthumanen
dc.subjectInterneten
dc.subjectmetabolismen
dc.subjectmolecular geneticsen
dc.subjectnucleotide sequenceen
dc.subjectprimary cell cultureen
dc.subjectpromoter regionen
dc.subjectsoftwareen
dc.subjectBase Sequenceen
dc.subjectCell Lineen
dc.subjectDatabases, Nucleic Aciden
dc.subjectGenomeen
dc.subjectHumansen
dc.subjectInterneten
dc.subjectMicroRNAsen
dc.subjectMolecular Sequence Annotationen
dc.subjectPrimary Cell Cultureen
dc.subjectPromoter Regions, Geneticen
dc.subjectProtein Bindingen
dc.subjectSoftwareen
dc.subjectTranscription Factorsen
dc.subjectTranscription Initiation Siteen
dc.subjectTranscription, Geneticen
dc.subjectOxford University Pressen
dc.titleDIANA-miRGen v4: Indexing promoters and regulators for more than 1500 microRNAsen
dc.typejournalArticleen


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