Dai Yang, Zhou Xiaofeng
Department of Bioengineering, Department of Computer Science, College of Engineering, University of Illinois at Chicago, Chicago, IL, USA.
Open Access Bioinformatics. 2010 May 1;2:29-39. doi: 10.2147/OAB.S6902.
MicroRNAs are pivotal regulators of development and cellular homeostasis. They act as post-transcriptional regulators, which control the stability and translation efficiency of their target mRNAs. The prediction of microRNA targets and detection of microRNA-mRNA regulatory modules (MRMs) are crucial components for understanding of microRNA functions. Numerous computational methods for microRNA target prediction have been developed. Computationally-predicted targets have been recently used in the integrative analysis of microRNA and mRNA expression analysis to identify microRNA targets and MRMs. In this article we review these recent developments in the integrative analysis methods. We also discuss the remaining challenges and our insights on future directions.
微小RNA是发育和细胞稳态的关键调节因子。它们作为转录后调节因子，控制其靶mRNA的稳定性和翻译效率。微小RNA靶标的预测以及微小RNA- mRNA调节模块（MRM）的检测是理解微小RNA功能的关键组成部分。已经开发了许多用于微小RNA靶标预测的计算方法。最近，通过计算预测的靶标已用于微小RNA和mRNA表达分析的综合分析，以识别微小RNA靶标和MRM。在本文中，我们回顾了这些综合分析方法的最新进展。我们还讨论了仍然存在的挑战以及我们对未来方向的见解。
