Predicted human structural clusters of miRNAs target cancer genes

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URI:http://hdl.handle.net/2042/54379  |   DOI : 10.4267/2042/54379
Title: Predicted human structural clusters of miRNAs target cancer genes
Author:Mathelier, A; Carbone, A
Description:Deregulation of gene expression is one of the main characteristics of cancer cells. The implication of microRNAs (miRNAs), a class of small non-coding RNAs implicated in post-transcriptional regulation of gene expression, in this process have rapidly become evident. As protein-coding genes, miRNAs can act as tumor suppressors or oncogenes (we speak about oncomirs). Recent studies have highlighted the paralogous clusters of miRNAs mir-17-92 and mir-106a-363 to be involved in carcinogenesis. It features the importance of a local and structural organization of miRNAs with potential impact on cancers. We performed computational predictions of structural clusters of miRNAs sharing the same characteristics as the two previously described clusters at the human genome scale. We show a functional organization of miRNAs in structural clusters where the predicted miRNA targets are enriched for cancer associated genes. On the other hand, we also show co-localization of structural clusters of miRNAs with genes involved in signaling pathways known to be disrupted in cancer. Taken together, the results provide new insights into the organization of miRNAs in the human genome along with their potential impact on carcinogenesis.
Subject:Hedgehog; WNT; Micro RNA; Deep Insights
Publisher:Jean-Loup Huret (Editor-in-Chief) ; INIST-CNRS (Publisher)
Date:2014

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