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DIANA-miRGen v4: indexing promoters and regulators for more than 1500 microRNAs
N. Perdikopanis, GK. Georgakilas, D. Grigoriadis, V. Pierros, I. Kavakiotis, P. Alexiou, A. Hatzigeorgiou
Jazyk angličtina Země Velká Británie
Typ dokumentu časopisecké články, práce podpořená grantem
NLK
Directory of Open Access Journals
od 2005
Free Medical Journals
od 1996
PubMed Central
od 1974
Europe PubMed Central
od 1974
Open Access Digital Library
od 1996-01-01 do 2030-12-31
Open Access Digital Library
od 1974-01-01
Open Access Digital Library
od 1996-01-01
Open Access Digital Library
od 1996-01-01
Medline Complete (EBSCOhost)
od 1996-01-01
Oxford Journals Open Access Collection
od 1996-01-01
ROAD: Directory of Open Access Scholarly Resources
od 1974
PubMed
33245765
DOI
10.1093/nar/gkaa1060
Knihovny.cz E-zdroje
- MeSH
- anotace sekvence MeSH
- buněčné linie MeSH
- databáze nukleových kyselin * MeSH
- genetická transkripce MeSH
- genom * MeSH
- internet MeSH
- lidé MeSH
- mikro RNA genetika metabolismus MeSH
- počátek transkripce MeSH
- primární buněčná kultura MeSH
- promotorové oblasti (genetika) * MeSH
- sekvence nukleotidů MeSH
- software * MeSH
- transkripční faktory genetika metabolismus MeSH
- vazba proteinů MeSH
- Check Tag
- lidé MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
Deregulation 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.
Central European Institute of Technology Masaryk University Kamenice 735 5 62500 Brno Czech Republic
Department of Computer Science and Biomedical Informatics University of Thessaly Greece
Department of Electrical and Computer Engineering University of Thessaly Volos 38221 Greece
Citace poskytuje Crossref.org
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