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Wiring miRNAs to pathways: a topological approach to integrate miRNA and mRNA expression profiles
Author(s) -
Enrica Calura,
Paolo Martini,
Gabriele Sales,
Luca Beltrame,
Giovanna Chiorino,
Maurizio D’Incalci,
Sergio Marchini,
Chiara Romualdi
Publication year - 2014
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gku354
Subject(s) - biology , microrna , transcriptome , computational biology , kegg , gene , regulation of gene expression , gene expression , gene expression profiling , genetics , gene regulatory network , bioinformatics
The production rate of gene expression data is nothing less than astounding. However, with the benefit of hindsight we can assert that, since we completely ignored the non-coding part of the transcriptome, we spent the last decade to study cell mechanisms having few data in our hands. In this scenario, microRNAs, which are key post-trascriptional regulators, deserve special attention. Given the state of knowledge about their biogenesis, mechanisms of action and the numerous experimentally validated target genes, miRNAs are also gradually appearing in the formal pathway representations such as KEGG and Reactome maps. However, the number of miRNAs annotated in pathway maps are very few and pathway analyses exploiting this new regulatory layer are still lacking. To fill these gaps, we present ‘micrographite ’ a new pipeline to perform topological pathway analysis integrating gene and miRNA expression profiles. Here, micrographite is used to study and dissect the epithelial ovarian cancer gene and miRNA transcriptome defining and validating a new regulatory circuit related to ovarian cancer histotype specificity.

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