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Cory B, Giles and G, Reshmi (2013) mirCoX: a database of miRNA-mRNA expression correlations derived from RNA-seq meta-analysis. BMC bioinformatics, 14. ISSN 1471-2105

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Abstract

BACKGROUND: Experimentally validated co-expression correlations between miRNAs and genes are a valuable resource to corroborate observations about miRNA/mRNA changes after experimental perturbations, as well as compare miRNA target predictions with empirical observations. For example, when a given miRNA is transcribed, true targets of that miRNA should tend to have lower expression levels relative to when the miRNA is not expressed. METHODS: We processed publicly available human RNA-seq experiments obtained from NCBI's Sequence Read Archive (SRA) to identify miRNA-mRNA co-expression trends and summarized them in terms of their Pearson's Correlation Coefficient (PCC) and significance. RESULTS: We found that sequence-derived parameters from TargetScan and miRanda were predictive of co-expression, and that TargetScan- and miRanda-derived gene-miRNA pairs tend to have anti-correlated expression patterns in RNA-seq data compared to controls. We provide this data for download and as a web application available at http://wrenlab.org/mirCoX/. CONCLUSION: This database of empirically established miRNA-mRNA transcriptional correlations will help to corroborate experimental observations and could be used to help refine and validate miRNA target predictions.

Item Type: Article
Subjects: Computational Biology
Depositing User: Rgcb Library
Date Deposited: 23 Jan 2017 04:45
Last Modified: 23 Jan 2017 05:16
URI: http://rgcb.sciencecentral.in/id/eprint/177

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