Transcriptional data: a new gateway to drug repositioning?

被引：177

作者：

Iorio, Francesco ^{[1
,4
]}

Rittman, Timothy ^{[2
]}

Ge, Hong ^{[3
]}

Menden, Michael ^{[1
]}

Saez-Rodriguez, Julio ^{[1
]}

机构：

[1] EMBL European Bioinformat Inst, Cambridge CB10 1SD, England

[2] Addenbrookes Hosp, Dept Clin Neurosci, Cambridge CB2 0SZ, England

[3] Ctr Math Sci, Dept Appl Math & Theoret Phys, Cambridge CB3 0WA, England

[4] Wellcome Trust Sanger Inst, Canc Genome Project, Cambridge CB10 1SD, England

来源：

DRUG DISCOVERY TODAY | 2013年 / 18卷 / 7-8期

基金：

英国惠康基金; 英国医学研究理事会;

关键词：

GENE-EXPRESSION SIGNATURES; CONNECTIVITY MAP; SMALL MOLECULES; IDENTIFICATION; DISCOVERY; TOOL;

D O I：

10.1016/j.drudis.2012.07.014

中图分类号：

R9 [药学];

学科分类号：

100702 [药剂学];

摘要：

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.

引用

页码：350 / 357

页数：8

共 60 条

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