4.6 Article

A high-throughput 3′ UTR reporter screening identifies microRNA interactomes of cancer genes

期刊

PLOS ONE
卷 13, 期 3, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0194017

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资金

  1. Belgian Foundation against Cancer (Stichting Tegen Kanker) [SCIE 2010-177]
  2. Flemish League against Cancer
  3. Ghent University Research Fund [BOF 01D35609, BOF12/PDO/067, BOF10/PDO/140, 01G01910//BOF10/GOA/019]
  4. Fund for Scientific Research Flanders (Fonds voor Wetenschappelijk Onderzoek Vlaanderen) [11J8313N, 1.5.210.11N, G.0869.10N, G.0530.12N]
  5. Fournier-Majoie Foundation (FFM)
  6. Cancer Plan from the Federal Public Service of Health (Kankerplan FOD Volksgezondheid)
  7. Children Cancer Fund Ghent (Kinderkankerfonds)
  8. Belgian Program of Interuniversity Poles of Attraction [IUAP P7/03, IUAP P7/07]
  9. ASSET FP7 Consortium [ASSET FP7-259348]

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Introduction Despite the established contribution of deregulated microRNA (miRNA) function to carcinogenesis, relatively few miRNA-cancer gene interactions have been validated, making it difficult to appreciate the true complexity of miRNA-cancer gene regulatory networks. Results In this effort, we identify miRNA interactomes of 17 well-established cancer genes, involved in various cancer types, through a miRNome-wide 3' UTR reporter screening. Using a novel and performant strategy for high-throughput screening data analysis, we identify 390 interactions, quadrupling the size of the known miRNA interactome for the cancer genes under investigation. Clear enrichments of established and predicted interactions underscore the validity of the interactome data set. Interactomes appear to be primarily driven by canonical binding site interactions. Nonetheless, non-canonical binding sites, such as offset 6mer and seed-mismatched or G:U wobble sites, also have regulatory activity, albeit clearly less pronounced. Furthermore, we observe enhanced regulation in the presence of 3' supplementary pairing for both canonical and non-canonical binding sites. Conclusions Altogether, the cancer gene-miRNA interactome data set represents a unique resource that will aid in the unraveling of regulatory miRNA networks and the dynamic regulation of key protein-coding cancer genes. In addition, it uncovers aspects of the functional miRNA binding site's architecture and the relative contributions of different binding site types.

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