Institute of Statistics, National Chiao Tung University, Hsinchu, Taiwan.
J Theor Biol. 2011 Oct 7;286(1):79-84. doi: 10.1016/j.jtbi.2011.06.022. Epub 2011 Jun 29.
MicroRNAs (miRNAs) are small endogenously expressed non-coding RNAs that regulate target messenger RNAs in various biological processes. In recent years, there have been many studies concentrated on the discovery of new miRNAs and identification of their mRNA targets. Although researchers have identified many miRNAs, few miRNA targets have been identified by actual experimental methods. To expedite the identification of miRNA targets for experimental verification, in the literature approaches based on the sequence or microarray expression analysis have been established to discover the potential miRNA targets. In this study, we focus on the human miRNA target prediction and propose a generalized relative R² method (RRSM) to find many high-confidence targets. Many targets have been confirmed from previous studies. The targets for several miRNAs discovered by the HITS-CLIP method in a recent study have also been selected by our study.
微小 RNA(miRNAs)是内源性表达的小型非编码 RNA,可在各种生物过程中调节靶信使 RNA。近年来,有许多研究集中在新 miRNAs 的发现及其 mRNA 靶标的鉴定上。尽管研究人员已经鉴定了许多 miRNAs,但很少有 miRNA 靶标是通过实际的实验方法鉴定的。为了加速 miRNA 靶标的鉴定以进行实验验证,在文献中已经建立了基于序列或微阵列表达分析的方法来发现潜在的 miRNA 靶标。在这项研究中,我们专注于人类 miRNA 靶标预测,并提出了一种广义相对 R² 方法(RRSM)来寻找许多高可信度的靶标。许多靶标已经在前人的研究中得到证实。最近一项研究中 HITS-CLIP 方法发现的几个 miRNAs 的靶标也被我们的研究选中。