title: A Bayesian approach for identifying miRNA targets by combining sequence prediction and gene expression profiling.
abstract: BACKGROUND
  MicroRNAs (miRNAs) are single-stranded non-coding RNAs shown to plays important regulatory roles in a wide range of biological processes and diseases. The functions and regulatory mechanisms of most of miRNAs are still poorly understood in part because of the difficulty in identifying the miRNA regulatory targets. To this end, computational methods have evolved as important tools for genome-wide target screening. Although considerable work in the past few years has produced many target prediction algorithms, most of them are solely based on sequence, and the accuracy is still poor. In contrast, gene expression profiling from miRNA transfection experiments can provide additional information about miRNA targets. However, most of existing research assumes down-regulated mRNAs as targets. Given the fact that the primary function of miRNA is protein inhibition, this assumption is neither sufficient nor necessary.
  
  
  RESULTS
  A novel Bayesian approach is proposed in this paper that integrates sequence level prediction with expression profiling of miRNA transfection. This approach does not restrict the target to be down-expressed and thus improve the performance of existing target prediction algorithm. The proposed algorithm was tested on simulated data, proteomics data, and IP pull-down data and shown to achieve better performance than existing approaches for target prediction. All the related materials including source code are available at http://compgenomics.utsa.edu/expmicro.html.
  
  
  CONCLUSIONS
  The proposed Bayesian algorithm integrates properly the sequence paring data and mRNA expression profiles for miRNA target prediction. This algorithm is shown to have better prediction performance than existing algorithms.
authors.affiliation: SIEE, China University of Mining and Technology, Xuzhou, China. lhcumt@hotmail.com
authors.forename: Hui
authors.initials: H
authors.lastname: Liu
authors.forename: Dong
authors.initials: D
authors.lastname: Yue
authors.forename: Lin
authors.initials: L
authors.lastname: Zhang
authors.forename: Yidong
authors.initials: Y
authors.lastname: Chen
authors.forename: Shou-Jiang
authors.initials: SJ
authors.lastname: Gao
authors.forename: Yufei
authors.initials: Y
authors.lastname: Huang
mesh_terms: D020413:3' Untranslated Regions; D000465:Algorithms; D001499:Bayes Theorem; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D006801:Humans; D035683:MicroRNAs / Q000737:chemistry / Q000378:metabolism*; D020411:Oligonucleotide Array Sequence Analysis; D014584:User-Computer Interface
chemical_list: D020413:3' Untranslated Regions; D035683:MicroRNAs