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Computational approaches for microRNA studies: a review
Authors:Li Li  Jianzhen Xu  Deyin Yang  Xiaorong Tan  Hongfei Wang
Affiliation:1. Department of Medical Genetics, School of Medicine, Tongji University, Shanghai, 200092, People’s Republic of China
2. College of Bioengineering, Henan University of Technology, Zhengzhou, 450001, People’s Republic of China
3. Medical College of Soochow University, Suzhou, 215123, People’s Republic of China
4. Kaifeng University, Kaifeng, 475004, People’s Republic of China
Abstract:
MicroRNAs (miRNAs) are one class of tiny, endogenous RNAs that can regulate messenger RNA (mRNA) expression by targeting homologous sequences in mRNAs. Their aberrant expressions have been observed in many cancers and several miRNAs have been convincingly shown to play important roles in carcinogenesis. Since the discovery of this small regulator, computational methods have been indispensable tools in miRNA gene finding and functional studies. In this review we first briefly outline the biological findings of miRNA genes, such as genomic feature, biogenesis, gene structure, and functional mechanism. We then discuss in detail the three main aspects of miRNA computational studies: miRNA gene finding, miRNA target prediction, and regulation of miRNA genes. Finally, we provide perspectives on some emerging issues, including combinatorial regulation by miRNAs and functional binding sites beyond the 3′-untranslated region (3′UTR) of target mRNAs. Available online resources for miRNA computational studies are also provided.
Keywords:
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