miRModule

miRModule identifies modules of microRNAs (miRNAs) by detecting significant co-occurrence of miRNA target sites within predefined sets of target messenger RNAs (mRNAs) to characterize cooperative miRNA-mediated regulation.


Key Features:

  • Module Identification: Identifies clusters of miRNAs whose binding sites significantly co-occur within the same set of target mRNAs.
  • High Throughput Data Utilization: Leverages high throughput experimental data to predict both confirmed and potential miRNA modules.
  • Binding Site Analysis: Reports that target sites associated with predicted miRNA modules tend to be weaker and that miRNAs within these modules prefer unconventional target sites over canonical ones.
  • Spatial Analysis: Finds that adjacent miRNA target sites from the same module often lie outside the 10-130 nucleotide range and that inter-site distances are shorter when modules bind unconventional versus canonical sites.

Scientific Applications:

  • miRNA regulatory mechanism analysis: Enables characterization of cooperative miRNA regulation and interactions among miRNAs acting on common mRNAs.
  • Gene regulatory network inference: Supports inference of gene regulatory network structure by identifying groups of miRNAs that co-regulate target mRNAs.
  • Therapeutic target exploration: Facilitates exploration of potential therapeutic targets in contexts where miRNA dysregulation contributes to disease.
  • Exploratory genomics and molecular biology research: Assists exploratory studies by predicting both confirmed and potential miRNA modules from experimental datasets.

Methodology:

Analyzes high throughput experimental data to identify significant co-occurrences of miRNA binding sites within predefined sets of target mRNAs to predict miRNA modules.

Topics

Details

Tool Type:
command-line tool
Operating Systems:
Linux, Windows
Programming Languages:
Python
Added:
8/3/2017
Last Updated:
11/25/2024

Operations

Publications

Ding J, Li X, Hu H. MicroRNA modules prefer to bind weak and unconventional target sites. Bioinformatics. 2014;31(9):1366-1374. doi:10.1093/bioinformatics/btu833. PMID:25527098. PMCID:PMC4410656.

Documentation

Links