isomiRTar

isomiRTar catalogs and analyzes 5'-end microRNA isoforms (5'-isomiRs) arising from imprecise Drosha and Dicer cleavage and predicts and validates their targetomes across TCGA pan-cancer sequencing cohorts to study isomiR-mediated gene regulation.


Key Features:

  • Extensive Database: Compiles 1022 5'-isomiRs identified in 9282 TCGA tumor samples across 31 cancer types.
  • Target Prediction: Uses miRDB and TargetScan to predict potential target genes for each 5'-isomiR sequence.
  • Co-expression Analysis: Validates predicted isomiR–target pairs by assessing significant negative correlations in expression across cancer types.
  • Expression Landscape Insights: Reports cancer-specific and conserved 5'-isomiR expression profiles across diverse cancers.
  • Targetome Overlap Analysis: Compares targetomes of isomiR pairs differing by a single 5'-nucleotide and quantifies overlap using the Jaccard index (median 0.06).

Scientific Applications:

  • Cancer Research: Enables investigation of isomiR-mediated gene silencing mechanisms and discovery of candidate biomarkers and regulatory interactions across cancer types.
  • Tumor Suppressor Identification: Supports identification of candidate tumor-suppressor isomiRs, exemplified by hsa-miR-203a-3p-+1, hsa-miR-192-5p-+1, and hsa-miR-148a-3p-0 in colorectal cancer.

Methodology:

Uses TCGA high-throughput sequencing data to catalog 5'-isomiRs, predicts targets with miRDB and TargetScan, validates pairs via co-expression analysis of negative correlations, and quantifies targetome overlap with the Jaccard index.

Topics

Details

License:
MIT
Cost:
Free of charge
Tool Type:
command-line tool, web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
JavaScript
Added:
12/29/2022
Last Updated:
12/29/2022

Operations

Data Inputs & Outputs

Publications

Nersisyan S, Gorbonos A, Makhonin A, Zhiyanov A, Shkurnikov M, Tonevitsky A. isomiRTar: a comprehensive portal of pan-cancer 5′-isomiR targeting. PeerJ. 2022;10:e14205. doi:10.7717/peerj.14205. PMID:36275459. PMCID:PMC9583861.

Links