研究MicroRNA和are介导的转录后基因表达调控的生物信息学方法

Richipal Singh Bindra, J. Wang, P. Bagga
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引用次数: 11

摘要

MicroRNAs (miRNAs)是一种短单链RNA分子,已知具有21-22个核苷酸,可调节参与大多数细胞过程的蛋白质编码基因的转录后表达。miRNA靶点的预测是一个具有挑战性的生物信息学问题。富au元件(AREs)是在mrna的3非翻译区(UTRs)中发现的调控RNA基序,它们通过与蛋白质的特异性相互作用在短寿命人类mrna的调控衰变中起主导作用。本文综述了几种miRNA靶标预测工具和数据来源,以及用于预测AREs的计算方法。作者讨论了miRNA与are介导的转录后基因调控之间的联系。最后,提出了一种用于识别含有ARE的基因中miRNA靶点共现的数据挖掘方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bioinformatics Methods for Studying MicroRNA and ARE-Mediated Regulation of Post-Transcriptional Gene Expression
MicroRNAs (miRNAs) are short single-stranded RNA molecules with 21-22 nucleotides known to regulate post-transcriptional expression of protein-coding genes involved in most of the cellular processes. Prediction of miRNA targets is a challenging bioinformatics problem. AU-rich elements (AREs) are regulatory RNA motifs found in the 3’ untranslated regions (UTRs) of mRNAs, and they play dominant roles in the regulated decay of short-lived human mRNAs via specific interactions with proteins. In this paper, the authors review several miRNA target prediction tools and data sources, as well as computational methods used for the prediction of AREs. The authors discuss the connection between miRNA and ARE-mediated post-transcriptional gene regulation. Finally, a data mining method for identifying the co-occurrences of miRNA target sites in ARE containing genes is presented.
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