MiRaGE

MiRaGE infers miRNA-mediated regulation of target genes from changes in gene expression profiles.


Key Features:

  • Inference of miRNA Regulation: MiRaGE deduces miRNA regulation by analyzing shifts in gene expression data.
  • Normalization-free Analysis: The method uses gene expression changes without requiring prior array normalization.
  • Ranking System: MiRaGE ranks miRNAs by inferred regulatory impact on gene expression profiles.

Scientific Applications:

  • Cell growth, differentiation and development: Used to investigate miRNA-mediated regulation in processes of cell growth, differentiation and development.
  • Embryonic stem (ES) cell differentiation into neuronal cells: Applied to ES cell differentiation to identify miRNAs implicated in maintaining the undifferentiated state during neuronal differentiation.
  • miRNA candidate identification: Identified candidate miRNAs such as the miR-200 family, miR-429, the miR-302 family, and members of the miR-17-92 cluster as potentially pivotal in ES cell pluripotency.

Methodology:

Analyzes changes in gene expression profiles to infer miRNA activity without requiring prior array normalization and ranks miRNAs by inferred regulatory impact.

Topics

Collections

Details

License:
GPL-3.0
Tool Type:
command-line tool, library
Operating Systems:
Linux, Windows, Mac
Programming Languages:
R
Added:
1/17/2017
Last Updated:
12/30/2018

Operations

Data Inputs & Outputs

Gene regulatory network analysis

Publications

Yoshizawa M, Taguchi Y, Yasuda J. Inference of Gene Regulation via miRNAs During ES Cell Differentiation Using MiRaGE Method. International Journal of Molecular Sciences. 2011;12(12):9265-9276. doi:10.3390/ijms12129265. PMID:22272132. PMCID:PMC3257129.

Documentation

Downloads