COMPUTATIONAL IDENTIFICATION OF MICRO-RNAS AND THEIR TARGETS IN MUS MUSCULUS GENOME SEQUENCES

摘要：

MicroRNAs (miRNAs) are small, non-coding RNAs that play important roles in post-transcriptional gene regulation by targeting mRNAs for cleavage or translational repression. Low abundance of some miRNAs and time-and tissue-specific expression patterns lead to the difficulty for experimental identification. In this report, we present a bioinformatic approach for genome sequences prediction of novel miRNAs as well as their targets in Mus musculus. 14 Mus musculus miRNAs were successfully predicted by homolog search approach. The MiPred software prediction results, the stem-loop structure feature analysis and PolII promoter prediction results show that these miRNAs might be true mouse miRNAs, and the potential targets of these miRNAs were detected.

关键词： MicroRNA Bioinformatic prediction Genome sequence

作者: Liang Gaofeng Li Shu chun Ye Nan Xiao Zhong Dang

作者单位: State Key Laboratory of Bioelectronics, Department of Biological Science and Medical Engineering,Southeast University, Nanjing 210096, China

会议类型: 国际会议

会议名称: The 6th International Forum on Post-genome Technologies(6IFPT)(第六届国际后基因组生命科学技术学术论坛)

会议地点: 北京

会议语种:英文

页码: 234-237

在线出版日期: 2009-09-17（万方平台首次上网日期，不代表论文的发表时间）