title: Predicting the target genes of microRNA based on microarray data.
abstract: MicroRNAs (miRNAs) are small non-coding RNAs of approximately 22 nucleotides in length, which play important roles in regulating gene expression post-transcriptionally. Several computational methods and algorithms have been developed to predict miRNA targets. In this study, we described a method that can be used to integrate miRNA target prediction data from multiple sources and gene expression data to predict target genes of particular miRNAs. We used hsa-miR-375 as an example to test the feasibility of our method. A total of 5645 target genes of hsa-miR-375 were identified from five prediction programs, and among them, 2440 target genes were shared by at least 2 of these 5 programs. By using our method, the number was further reduced to 149 and 5 of the 149 target genes had been validated by previous study. This is a simple yet highly effective approach.
authors: Department of Gastrointestinal Surgery, Taixing Hospital Affiliated in Yangzhou University, Yangzhou, China.
authors: B
authors: B
authors: Cao
authors: T
authors: T
authors: Ji
authors: B
authors: B
authors: Zhou
authors: J
authors: J
authors: Zou
authors: G Q
authors: GQ
authors: Jiao
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D020869:Gene Expression Profiling; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*; D008957:Models, Genetic; D020411:Oligonucleotide Array Sequence Analysis; D034622:RNA Interference
chemical_list: C540933:MIRN375 microRNA, human; D035683:MicroRNAs