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Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks
We introduce a method for simultaneous prediction of microRNA–target interactions and their mediated competitive endogenous RNA (ceRNA) interactions. Using high-throughput validation assays in breast cancer cell lines, we show that our integrative approach significantly improves on microRNA–target p...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4315299/ https://www.ncbi.nlm.nih.gov/pubmed/25378249 http://dx.doi.org/10.1101/gr.178194.114 |
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author | Chiu, Hua-Sheng Llobet-Navas, David Yang, Xuerui Chung, Wei-Jen Ambesi-Impiombato, Alberto Iyer, Archana Kim, Hyunjae Ryan Seviour, Elena G. Luo, Zijun Sehgal, Vasudha Moss, Tyler Lu, Yiling Ram, Prahlad Silva, José Mills, Gordon B. Califano, Andrea Sumazin, Pavel |
author_facet | Chiu, Hua-Sheng Llobet-Navas, David Yang, Xuerui Chung, Wei-Jen Ambesi-Impiombato, Alberto Iyer, Archana Kim, Hyunjae Ryan Seviour, Elena G. Luo, Zijun Sehgal, Vasudha Moss, Tyler Lu, Yiling Ram, Prahlad Silva, José Mills, Gordon B. Califano, Andrea Sumazin, Pavel |
author_sort | Chiu, Hua-Sheng |
collection | PubMed |
description | We introduce a method for simultaneous prediction of microRNA–target interactions and their mediated competitive endogenous RNA (ceRNA) interactions. Using high-throughput validation assays in breast cancer cell lines, we show that our integrative approach significantly improves on microRNA–target prediction accuracy as assessed by both mRNA and protein level measurements. Our biochemical assays support nearly 500 microRNA–target interactions with evidence for regulation in breast cancer tumors. Moreover, these assays constitute the most extensive validation platform for computationally inferred networks of microRNA–target interactions in breast cancer tumors, providing a useful benchmark to ascertain future improvements. |
format | Online Article Text |
id | pubmed-4315299 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Cold Spring Harbor Laboratory Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43152992015-08-01 Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks Chiu, Hua-Sheng Llobet-Navas, David Yang, Xuerui Chung, Wei-Jen Ambesi-Impiombato, Alberto Iyer, Archana Kim, Hyunjae Ryan Seviour, Elena G. Luo, Zijun Sehgal, Vasudha Moss, Tyler Lu, Yiling Ram, Prahlad Silva, José Mills, Gordon B. Califano, Andrea Sumazin, Pavel Genome Res Method We introduce a method for simultaneous prediction of microRNA–target interactions and their mediated competitive endogenous RNA (ceRNA) interactions. Using high-throughput validation assays in breast cancer cell lines, we show that our integrative approach significantly improves on microRNA–target prediction accuracy as assessed by both mRNA and protein level measurements. Our biochemical assays support nearly 500 microRNA–target interactions with evidence for regulation in breast cancer tumors. Moreover, these assays constitute the most extensive validation platform for computationally inferred networks of microRNA–target interactions in breast cancer tumors, providing a useful benchmark to ascertain future improvements. Cold Spring Harbor Laboratory Press 2015-02 /pmc/articles/PMC4315299/ /pubmed/25378249 http://dx.doi.org/10.1101/gr.178194.114 Text en © 2015 Chiu et al.; Published by Cold Spring Harbor Laboratory Press http://creativecommons.org/licenses/by-nc/4.0/ This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 4.0 International), as described at http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Method Chiu, Hua-Sheng Llobet-Navas, David Yang, Xuerui Chung, Wei-Jen Ambesi-Impiombato, Alberto Iyer, Archana Kim, Hyunjae Ryan Seviour, Elena G. Luo, Zijun Sehgal, Vasudha Moss, Tyler Lu, Yiling Ram, Prahlad Silva, José Mills, Gordon B. Califano, Andrea Sumazin, Pavel Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks |
title | Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks |
title_full | Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks |
title_fullStr | Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks |
title_full_unstemmed | Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks |
title_short | Cupid: simultaneous reconstruction of microRNA-target and ceRNA networks |
title_sort | cupid: simultaneous reconstruction of microrna-target and cerna networks |
topic | Method |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4315299/ https://www.ncbi.nlm.nih.gov/pubmed/25378249 http://dx.doi.org/10.1101/gr.178194.114 |
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