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A high-throughput 3’ UTR reporter screening identifies microRNA interactomes of cancer genes
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, w...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844555/ https://www.ncbi.nlm.nih.gov/pubmed/29522551 http://dx.doi.org/10.1371/journal.pone.0194017 |
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author | Van Peer, Gert Mets, Evelien Claeys, Shana De Punt, Ines Lefever, Steve Ongenaert, Maté Rondou, Pieter Speleman, Frank Mestdagh, Pieter Vandesompele, Jo |
author_facet | Van Peer, Gert Mets, Evelien Claeys, Shana De Punt, Ines Lefever, Steve Ongenaert, Maté Rondou, Pieter Speleman, Frank Mestdagh, Pieter Vandesompele, Jo |
author_sort | Van Peer, Gert |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5844555 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58445552018-03-23 A high-throughput 3’ UTR reporter screening identifies microRNA interactomes of cancer genes Van Peer, Gert Mets, Evelien Claeys, Shana De Punt, Ines Lefever, Steve Ongenaert, Maté Rondou, Pieter Speleman, Frank Mestdagh, Pieter Vandesompele, Jo PLoS One Research Article 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. Public Library of Science 2018-03-09 /pmc/articles/PMC5844555/ /pubmed/29522551 http://dx.doi.org/10.1371/journal.pone.0194017 Text en © 2018 Van Peer et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Van Peer, Gert Mets, Evelien Claeys, Shana De Punt, Ines Lefever, Steve Ongenaert, Maté Rondou, Pieter Speleman, Frank Mestdagh, Pieter Vandesompele, Jo A high-throughput 3’ UTR reporter screening identifies microRNA interactomes of cancer genes |
title | A high-throughput 3’ UTR reporter screening identifies microRNA interactomes of cancer genes |
title_full | A high-throughput 3’ UTR reporter screening identifies microRNA interactomes of cancer genes |
title_fullStr | A high-throughput 3’ UTR reporter screening identifies microRNA interactomes of cancer genes |
title_full_unstemmed | A high-throughput 3’ UTR reporter screening identifies microRNA interactomes of cancer genes |
title_short | A high-throughput 3’ UTR reporter screening identifies microRNA interactomes of cancer genes |
title_sort | high-throughput 3’ utr reporter screening identifies microrna interactomes of cancer genes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5844555/ https://www.ncbi.nlm.nih.gov/pubmed/29522551 http://dx.doi.org/10.1371/journal.pone.0194017 |
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