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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...

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Detalles Bibliográficos
Autores principales: Iorio, Francesco, Rittman, Timothy, Ge, Hong, Menden, Michael, Saez-Rodriguez, Julio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Science Ltd. ;, Distributed by Virgin Mailing and Distribution 2013
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
Descripción
Sumario: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.