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Discovering cancer vulnerabilities using high-throughput micro-RNA screening
Micro-RNAs (miRNAs) are potent regulators of gene expression and cellular phenotype. Each miRNA has the potential to target hundreds of transcripts within the cell thus controlling fundamental cellular processes such as survival and proliferation. Here, we exploit this important feature of miRNA net...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5728403/ https://www.ncbi.nlm.nih.gov/pubmed/29156009 http://dx.doi.org/10.1093/nar/gkx1072 |
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author | Nikolic, Iva Elsworth, Benjamin Dodson, Eoin Wu, Sunny Z. Gould, Cathryn M. Mestdagh, Pieter Marshall, Glenn M. Horvath, Lisa G. Simpson, Kaylene J. Swarbrick, Alexander |
author_facet | Nikolic, Iva Elsworth, Benjamin Dodson, Eoin Wu, Sunny Z. Gould, Cathryn M. Mestdagh, Pieter Marshall, Glenn M. Horvath, Lisa G. Simpson, Kaylene J. Swarbrick, Alexander |
author_sort | Nikolic, Iva |
collection | PubMed |
description | Micro-RNAs (miRNAs) are potent regulators of gene expression and cellular phenotype. Each miRNA has the potential to target hundreds of transcripts within the cell thus controlling fundamental cellular processes such as survival and proliferation. Here, we exploit this important feature of miRNA networks to discover vulnerabilities in cancer phenotype, and map miRNA-target relationships across different cancer types. More specifically, we report the results of a functional genomics screen of 1280 miRNA mimics and inhibitors in eight cancer cell lines, and its presentation in a sophisticated interactive data portal. This resource represents the most comprehensive survey of miRNA function in oncology, incorporating breast cancer, prostate cancer and neuroblastoma. A user-friendly web portal couples this experimental data with multiple tools for miRNA target prediction, pathway enrichment analysis and visualization. In addition, the database integrates publicly available gene expression and perturbation data enabling tailored and context-specific analysis of miRNA function in a particular disease. As a proof-of-principle, we use the database and its innovative features to uncover novel determinants of the neuroblastoma malignant phenotype. |
format | Online Article Text |
id | pubmed-5728403 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-57284032017-12-18 Discovering cancer vulnerabilities using high-throughput micro-RNA screening Nikolic, Iva Elsworth, Benjamin Dodson, Eoin Wu, Sunny Z. Gould, Cathryn M. Mestdagh, Pieter Marshall, Glenn M. Horvath, Lisa G. Simpson, Kaylene J. Swarbrick, Alexander Nucleic Acids Res Data Resources and Analyses Micro-RNAs (miRNAs) are potent regulators of gene expression and cellular phenotype. Each miRNA has the potential to target hundreds of transcripts within the cell thus controlling fundamental cellular processes such as survival and proliferation. Here, we exploit this important feature of miRNA networks to discover vulnerabilities in cancer phenotype, and map miRNA-target relationships across different cancer types. More specifically, we report the results of a functional genomics screen of 1280 miRNA mimics and inhibitors in eight cancer cell lines, and its presentation in a sophisticated interactive data portal. This resource represents the most comprehensive survey of miRNA function in oncology, incorporating breast cancer, prostate cancer and neuroblastoma. A user-friendly web portal couples this experimental data with multiple tools for miRNA target prediction, pathway enrichment analysis and visualization. In addition, the database integrates publicly available gene expression and perturbation data enabling tailored and context-specific analysis of miRNA function in a particular disease. As a proof-of-principle, we use the database and its innovative features to uncover novel determinants of the neuroblastoma malignant phenotype. Oxford University Press 2017-12-15 2017-11-16 /pmc/articles/PMC5728403/ /pubmed/29156009 http://dx.doi.org/10.1093/nar/gkx1072 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Data Resources and Analyses Nikolic, Iva Elsworth, Benjamin Dodson, Eoin Wu, Sunny Z. Gould, Cathryn M. Mestdagh, Pieter Marshall, Glenn M. Horvath, Lisa G. Simpson, Kaylene J. Swarbrick, Alexander Discovering cancer vulnerabilities using high-throughput micro-RNA screening |
title | Discovering cancer vulnerabilities using high-throughput micro-RNA screening |
title_full | Discovering cancer vulnerabilities using high-throughput micro-RNA screening |
title_fullStr | Discovering cancer vulnerabilities using high-throughput micro-RNA screening |
title_full_unstemmed | Discovering cancer vulnerabilities using high-throughput micro-RNA screening |
title_short | Discovering cancer vulnerabilities using high-throughput micro-RNA screening |
title_sort | discovering cancer vulnerabilities using high-throughput micro-rna screening |
topic | Data Resources and Analyses |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5728403/ https://www.ncbi.nlm.nih.gov/pubmed/29156009 http://dx.doi.org/10.1093/nar/gkx1072 |
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