Comprehensive analysis of human microRNA target networks
2011
Analysis of Human MicroRNA Target Networks
Sample size: 1223
publication
Evidence: high
Author Information
Author(s): Satoh Jun-ichi, Tabunoki Hiroko
Primary Institution: Meiji Pharmaceutical University
Hypothesis
Do miRNA target genes regulated by an individual miRNA constitute a biological network of functionally-associated molecules?
Conclusion
The study found that a set of miRNA targets derived from approximately 20% of all human miRNAs forms biologically meaningful molecular networks.
Supporting Evidence
- Among 1,223 human miRNAs examined, reliable targets were predicted from 273 miRNAs.
- KeyMolnet successfully extracted molecular networks from 232 miRNAs.
- The most relevant pathway identified was transcriptional regulation by transcription factors RB/E2F.
Takeaway
This study looked at tiny molecules called miRNAs that help control how genes work. It found that many of these miRNAs work together in networks to help cells function properly.
Methodology
The study used the Diana-microT 3.0 program to predict miRNA targets and KeyMolnet to analyze molecular interactions.
Statistical Information
P-Value
2.78E-08
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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