| 发布日期: 2011-09-21 16:01 | 文章来源: 欧易生物 | 点击次数： |
Krek, A; Grun, D; Poy, MN; Wolf, R; Rosenberg, L; Epstein, EJ; MacMenamin, P; da Piedade, I; Gunsalus, KC; Stoffel, M; Rajewsky, N Nature Genet. 2005,37(5)495-500 引用次数 1112
这篇发表于2005年发表于Nature Genetics的文章建立了miRNA靶基因预测的重要生物信息学计算方法PicTar，该法为当前常用的三种miRNA靶基因生物信息学分析方法之首。
【摘要】MicroRNAs are small noncoding RNAs that recognize and bind to partially complementary sites in the 3' untranslated regions of target genes in animals and, by unknown mechanisms, regulate protein production of the target transcript(1-3). Different combinations of microRNAs are expressed in different cell types and may coordinately regulate cell-specific target genes. Here, we present PicTar, a computational method for identifying common targets of microRNAs. Statistical tests using genome-wide alignments of eight vertebrate genomes, PicTar's ability to specifically recover published microRNA targets, and experimental validation of seven predicted targets suggest that PicTar has an excellent success rate in predicting targets for single microRNAs and for combinations of microRNAs. We find that vertebrate microRNAs target, on average, roughly 200 transcripts each. Furthermore, our results suggest widespread coordinate control executed by microRNAs. In particular, we experimentally validate common regulation of Mtpn by miR-375, miR-124 and let-7b and thus provide evidence for coordinate microRNA control in mammals.
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