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

被引:1
|
作者
Yeganeh, Pourya Naderi
Teo, Yue Y.
Karagkouni, Dimitra
Pita-Juarez, Yered
Morgan, Sarah L.
Slack, Frank J.
Vlachos, Ioannis S.
Hide, Winston A.
机构
关键词
microRNA; miRNA regulation; pathways; biological networks; systems biology; miRNA prioritization; pathway analysis; bioinformatics; computational biology; statistical models; HEPATOCELLULAR-CARCINOMA; ENRICHMENT ANALYSIS; CELL-PROLIFERATION; MICRORNAS; EXPRESSION; NETWORK; ASSOCIATIONS; PATHOGENESIS; MECHANISMS; DISEASES;
D O I
10.1093/bib/bbad418
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
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页数:14
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