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

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

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