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Transcriptional data: a new gateway to drug repositioning?
Recent advances in computational biology suggest that any perturbation to the transcriptional programme of the cell can be summarised by a proper ‘signature’: a set of genes combined with a pattern of expression. Therefore, it should be possible to generate proxies of clinicopathological phenotypes...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science Ltd. ;, Distributed by Virgin Mailing and Distribution
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3625109/ https://www.ncbi.nlm.nih.gov/pubmed/22897878 http://dx.doi.org/10.1016/j.drudis.2012.07.014 |
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author | Iorio, Francesco Rittman, Timothy Ge, Hong Menden, Michael Saez-Rodriguez, Julio |
author_facet | Iorio, Francesco Rittman, Timothy Ge, Hong Menden, Michael Saez-Rodriguez, Julio |
author_sort | Iorio, Francesco |
collection | PubMed |
description | Recent advances in computational biology suggest that any perturbation to the transcriptional programme of the cell can be summarised by a proper ‘signature’: a set of genes combined with a pattern of expression. Therefore, it should be possible to generate proxies of clinicopathological phenotypes and drug effects through signatures acquired via DNA microarray technology. Gene expression signatures have recently been assembled and compared through genome-wide metrics, unveiling unexpected drug–disease and drug–drug ‘connections’ by matching corresponding signatures. Consequently, novel applications for existing drugs have been predicted and experimentally validated. Here, we describe related methods, case studies and resources while discussing challenges and benefits of exploiting existing repositories of microarray data that could serve as a search space for systematic drug repositioning. |
format | Online Article Text |
id | pubmed-3625109 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Elsevier Science Ltd. ;, Distributed by Virgin Mailing and Distribution |
record_format | MEDLINE/PubMed |
spelling | pubmed-36251092013-04-15 Transcriptional data: a new gateway to drug repositioning? Iorio, Francesco Rittman, Timothy Ge, Hong Menden, Michael Saez-Rodriguez, Julio Drug Discov Today Review Recent advances in computational biology suggest that any perturbation to the transcriptional programme of the cell can be summarised by a proper ‘signature’: a set of genes combined with a pattern of expression. Therefore, it should be possible to generate proxies of clinicopathological phenotypes and drug effects through signatures acquired via DNA microarray technology. Gene expression signatures have recently been assembled and compared through genome-wide metrics, unveiling unexpected drug–disease and drug–drug ‘connections’ by matching corresponding signatures. Consequently, novel applications for existing drugs have been predicted and experimentally validated. Here, we describe related methods, case studies and resources while discussing challenges and benefits of exploiting existing repositories of microarray data that could serve as a search space for systematic drug repositioning. Elsevier Science Ltd. ;, Distributed by Virgin Mailing and Distribution 2013-04 /pmc/articles/PMC3625109/ /pubmed/22897878 http://dx.doi.org/10.1016/j.drudis.2012.07.014 Text en © 2013 Elsevier Ltd. https://creativecommons.org/licenses/by/3.0/ Open Access under CC BY 3.0 (https://creativecommons.org/licenses/by/3.0/) license |
spellingShingle | Review Iorio, Francesco Rittman, Timothy Ge, Hong Menden, Michael Saez-Rodriguez, Julio Transcriptional data: a new gateway to drug repositioning? |
title | Transcriptional data: a new gateway to drug repositioning? |
title_full | Transcriptional data: a new gateway to drug repositioning? |
title_fullStr | Transcriptional data: a new gateway to drug repositioning? |
title_full_unstemmed | Transcriptional data: a new gateway to drug repositioning? |
title_short | Transcriptional data: a new gateway to drug repositioning? |
title_sort | transcriptional data: a new gateway to drug repositioning? |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3625109/ https://www.ncbi.nlm.nih.gov/pubmed/22897878 http://dx.doi.org/10.1016/j.drudis.2012.07.014 |
work_keys_str_mv | AT ioriofrancesco transcriptionaldataanewgatewaytodrugrepositioning AT rittmantimothy transcriptionaldataanewgatewaytodrugrepositioning AT gehong transcriptionaldataanewgatewaytodrugrepositioning AT mendenmichael transcriptionaldataanewgatewaytodrugrepositioning AT saezrodriguezjulio transcriptionaldataanewgatewaytodrugrepositioning |