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miTALOS v2: Analyzing tissue specific microRNA function.

PLoS ONE 11:e0151771 (2016)
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MicroRNAs are involved in almost all biological processes and have emerged as regulators of signaling pathways. We show that miRNA target genes and pathway genes are not uniformly expressed across human tissues. To capture tissue specific effects, we developed a novel methodology for tissue specific pathway analysis of miRNAs. We incorporated the most recent and highest quality miRNA targeting data (TargetScan and StarBase), RNA-seq based gene expression data (EBI Expression Atlas) and multiple new pathway data sources to increase the biological relevance of the predicted miRNA-pathway associations. We identified new potential roles of miR-199a-3p, miR-199b-3p and the miR-200 family in hepatocellular carcinoma, involving the regulation of metastasis through MAPK and Wnt signaling. Also, an association of miR-571 and Notch signaling in liver fibrosis was proposed. To facilitate data update and future extensions of our tool, we developed a flexible database backend using the graph database neo4j. The new backend as well as the novel methodology were included in the updated miTALOS v2, a tool that provides insights into tissue specific miRNA regulation of biological pathways. miTALOS v2 is available at http://mips.helmholtz-muenchen.de/mitalos.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Epithelial-mesenchymal Transition; Transcriptome-wide Identification; Rna-binding Protein; Hepatocellular-carcinoma; Target Sites; Cancer Cells; Expression; Liver; Gene; Proliferation
Language english
Publication Year 2016
HGF-reported in Year 2016
ISSN (print) / ISBN 1932-6203
Journal PLoS ONE
Quellenangaben Volume: 11, Issue: 3, Pages: , Article Number: e0151771 Supplement: ,
Publisher Public Library of Science (PLoS)
Publishing Place Lawrence, Kan.
Reviewing status Peer reviewed
POF-Topic(s) 30205 - Bioengineering and Digital Health
30201 - Metabolic Health
Research field(s) Enabling and Novel Technologies
Helmholtz Diabetes Center
PSP Element(s) G-503800-001
G-502300-001
PubMed ID 26998997
Scopus ID 84962124791
Erfassungsdatum 2016-03-23