Chevalier David, Borchert Glen M
Department of Biology, East Georgia State College, Swainsboro, GA, 30401, USA.
Department of Pharmacology, University of South Alabama, Mobile, AL, 36688, USA.
Methods Mol Biol. 2017;1617:93-107. doi: 10.1007/978-1-4939-7046-9_7.
MicroRNAs (miRNAs) are small noncoding RNAs that regulate gene expression by either degrading transcripts or repressing translation . Over the past decade the significance of miRNAs has been unraveled by the characterization of their involvement in crucial cellular functions and the development of disease. However, continued progress in understanding the endogenous importance of miRNAs, as well as their potential uses as therapeutic tools, has been hindered by the difficulty of positively identifying miRNA targets. To face this challenge algorithmic approaches have primarily been utilized to date, but strictly mathematical models have thus far failed to produce a generally accurate, widely accepted methodology for accurate miRNA target determination. As such, several laboratory-based, comprehensive strategies for experimentally identifying all cellular miRNA regulations simultaneously have recently been developed. This chapter discusses the advantages and limitations of both classic and comprehensive strategies for miRNA target prediction .
微小RNA(miRNA)是一类小的非编码RNA,它们通过降解转录本或抑制翻译来调节基因表达。在过去十年中,通过对miRNA参与关键细胞功能及疾病发展的特征描述,其重要性已被揭示。然而,由于难以准确鉴定miRNA靶标,在理解miRNA的内源性重要性及其作为治疗工具的潜在用途方面的持续进展受到了阻碍。为应对这一挑战,迄今为止主要采用了算法方法,但严格的数学模型迄今未能产生一种普遍准确、被广泛接受的精确确定miRNA靶标的方法。因此,最近已经开发出了几种基于实验室的、用于同时通过实验鉴定所有细胞miRNA调控的综合策略。本章讨论了miRNA靶标预测的经典策略和综合策略的优缺点。