miRmapper: A Tool for Interpretation of miRNA⁻mRNA Interaction Networks

Genes
Willian A da SilveiraGary Hardiman

Abstract

It is estimated that 30% of all genes in the mammalian cells are regulated by microRNA (miRNAs). The most relevant miRNAs in a cellular context are not necessarily those with the greatest change in expression levels between healthy and diseased tissue. Differentially expressed (DE) miRNAs that modulate a large number of messenger RNA (mRNA) transcripts ultimately have a greater influence in determining phenotypic outcomes and are more important in a global biological context than miRNAs that modulate just a few mRNA transcripts. Here, we describe the development of a tool, "miRmapper", which identifies the most dominant miRNAs in a miRNA⁻mRNA network and recognizes similarities between miRNAs based on commonly regulated mRNAs. Using a list of miRNA⁻target gene interactions and a list of DE transcripts, miRmapper provides several outputs: (1) an adjacency matrix that is used to calculate miRNA similarity utilizing the Jaccard distance; (2) a dendrogram and (3) an identity heatmap displaying miRNA clusters based on their effect on mRNA expression; (4) a miRNA impact table and (5) a barplot that provides a visual illustration of this impact. We tested this tool using nonmetastatic and metastatic bladder cancer cell lines and demon...Continue Reading

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Datasets Mentioned

BETA
E-MTAB-2610

Methods Mentioned

BETA
PCR

Software Mentioned

multiMiR
TargetScan
mirExTra
NetworkAnalyzer
mirMapper
miRm
DESeq2
SpidermiR
EdgeR
CAP

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