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A computational approach for identifying active miRNAs and miRNA-mediated regulatory mechanisms. Applying ActMiR to four cancer datasets in The Cancer Genome Atlas (TCGA), we showed that (1) miRNA activity was tumor subtype specific; (2) genes correlated with inferred miRNA activities were more likely to enrich for miRNA binding motifs; (3) expression levels of these genes and inferred miRNA activities were more likely to be negatively correlated. In summary, inferred activity of key miRNA provided a functional link to its mediated regulatory network, and can be used to robustly predict patient’s survival.

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  • Jun Zhu <jun.zhu at mssm.edu>


Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA

Funding source(s)

The work was partially supported by the National Institute of Health (CA163772, AG046170, CA172460, and HG008451).

  • (Lee et al., 2015) Inferred miRNA activity identifies miRNA-mediated regulatory networks underlying multiple cancers. Bioinformatics.
    PMID: 26358730
  • (Akhtar et al., 2016) Bioinformatic tools for microRNA dissection. Nucleic acids research.
    PMID: 26578605

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