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	Integrative Approaches for microRNA Target Prediction: Combining Sequence Information and the Paired mRNA and miRNA Expression Profiles
	Su, Naifang ; Qian, Minping ; Deng, Minghua
	2013
关键词	Expression profile integrative analysis miRNA target prediction REGULATORY NETWORKS BAYESIAN NETWORKS GENES RESOURCE MYELOMA IDENTIFICATION FRAMEWORK INFERENCE GENOMICS GROWTH
英文摘要	Gene regulation is a key factor in gaining a full understanding of molecular biology. microRNA (miRNA), a novel class of non-coding RNA, has recently been found to be one crucial class of post-transactional regulators, and play important roles in cancer. One essential step to understand the regulatory effect of miRNAs is the reliable prediction of their target mRNAs. Typically, the predictions are solely based on the sequence information, which unavoidably have high false detection rates. Recently, some novel approaches are developed to predict miRNA targets by integrating the typical algorithm with the paired expression profiles of miRNA and mRNA. Here we review and discuss these integrative approaches and propose a new algorithm called HCTarget. Applying HCtarget to the expression data in multiple myeloma, we predict target genes for ten specific miRNAs. The experimental verification and a loss of function study validate our predictions. Therefore, the integrative approach is a reliable and effective way to predict miRNA targets, and could improve our comprehensive understanding of gene regulation.; Biochemical Research Methods; Mathematical & Computational Biology; SCI(E); PubMed; 1; ARTICLE; 1; 37-45; 8
语种	英语
出处	PubMed ; SCI
出版者	current bioinformatics
内容类型	其他
源URL	[http://hdl.handle.net/20.500.11897/314171]
专题	数学科学学院
推荐引用方式 GB/T 7714	Su, Naifang,Qian, Minping,Deng, Minghua. Integrative Approaches for microRNA Target Prediction: Combining Sequence Information and the Paired mRNA and miRNA Expression Profiles. 2013-01-01.

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