Discovery of functional miRNA-mRNA regulatory modules with computational methods.
The identification of miRNAs and their target mRNAs and the construction of their regulatory networks may give new insights into biological procedures. This study proposes a computational method to discover the functional miRNA-mRNA regulatory modules (FMRMs), that is, groups of miRNAs and their target mRNAs that are believed to participate cooperatively in post-transcriptional gene regulation under specific conditions. The proposed method identifies negatively regulated patterns of miRNAs and mRNAs which associate with cancer and normal conditions, respectively, in a prostate cancer data set. GO and the literature also suggest that they may relate with prostate cancer. It can potentially identify the biologically relevant chains of 'miRNA-->target gene --> condition'.
Liu
Bing
B
School of Computer and Information Science, University of South Australia, Mawson Lakes, SA 5095, Australia. Bing.Liu@unisa.edu.au
Li
Jiuyong
J
Tsykin
Anna
A
D000465:Algorithms; D001499:Bayes Theorem; D019295:Computational Biology / Q000379:methods*; D053263:Gene Regulatory Networks / Q000502:physiology*; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D008297:Male; D035683:MicroRNAs / Q000502:physiology*; D008957:Models, Genetic; D015233:Models, Statistical; D011471:Prostatic Neoplasms / Q000235:genetics; D012333:RNA, Messenger / Q000502:physiology*; D015203:Reproducibility of Results
D035683:MicroRNAs; D012333:RNA, Messenger