Computational approaches for microRNA studies: a review
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 carcinogene...
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creator | Li, Li Xu, Jianzhen Yang, Deyin Tan, Xiaorong Wang, Hongfei |
description | 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. |
doi_str_mv | 10.1007/s00335-009-9241-2 |
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subjects | 3' Untranslated Regions - physiology Animal Genetics and Genomics Animals Artificial Intelligence Binding Sites Biomedical and Life Sciences Cell Biology Computational Biology - methods Gene Regulatory Networks - physiology Genome - physiology Human Genetics Humans Life Sciences MicroRNAs - chemistry MicroRNAs - genetics MicroRNAs - physiology Transcription Factors - genetics Transcription Factors - physiology |
title | Computational approaches for microRNA studies: a review |
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