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PanomiR: a systems biology framework for analysis of multi-pathway targeting by miRNAs.

Authors :
Yeganeh, Pourya Naderi
Teo, Yue Y
Karagkouni, Dimitra
Pita-Juárez, Yered
Morgan, Sarah L
Slack, Frank J
Vlachos, Ioannis S
Hide, Winston A
Source :
Briefings in Bioinformatics. Nov2023, Vol. 24 Issue 6, p1-14. 14p.
Publication Year :
2023

Abstract

Charting microRNA (miRNA) regulation across pathways is key to characterizing their function. Yet, no method currently exists that can quantify how miRNAs regulate multiple interconnected pathways or prioritize them for their ability to regulate coordinate transcriptional programs. Existing methods primarily infer one-to-one relationships between miRNAs and pathways using differentially expressed genes. We introduce PanomiR, an in silico framework for studying the interplay of miRNAs and disease functions. PanomiR integrates gene expression, mRNA–miRNA interactions and known biological pathways to reveal coordinated multi-pathway targeting by miRNAs. PanomiR utilizes pathway-activity profiling approaches, a pathway co-expression network and network clustering algorithms to prioritize miRNAs that target broad-scale transcriptional disease phenotypes. It directly resolves differential regulation of pathways, irrespective of their differential gene expression, and captures co-activity to establish functional pathway groupings and the miRNAs that may regulate them. PanomiR uses a systems biology approach to provide broad but precise insights into miRNA-regulated functional programs. It is available at https://bioconductor.org/packages/PanomiR. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
14675463
Volume :
24
Issue :
6
Database :
Academic Search Index
Journal :
Briefings in Bioinformatics
Publication Type :
Academic Journal
Accession number :
173782163
Full Text :
https://doi.org/10.1093/bib/bbad418