Multidimensional drug profiling by automated microscopy

被引：501

作者：

Perlman, ZE

Slack, MD

Feng, Y

Mitchison, TJ

Wu, LF ^{[1
]}

Altschuler, SJ

机构：

[1] Harvard Univ, Bauer Ctr Gen Res, Cambridge, MA 02138 USA

[2] Harvard Univ, Sch Med, Inst Chem & Cell Biol, Boston, MA 02115 USA

[3] Harvard Univ, Sch Med, Dept Syst Biol, Boston, MA 02115 USA

来源：

SCIENCE | 2004年 / 306卷 / 5699期

关键词：

D O I：

10.1126/science.1100709

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

We present a method for high-throughput cytological profiling by microscopy. Our system provides quantitative multidimensional measures of individual cell states over wide ranges of perturbations. We profile dose-dependent phenotypic effects of drugs in human cell culture with a titration-invariant similarity score (TISS). This method successfully categorized blinded drugs and suggested targets for drugs of uncertain mechanism. Multivariate single-cell analysis is a starting point for identifying relationships among drug effects at a systems level and a step toward phenotypic profiting at the single-cell level. Our methods will be useful for discovering the mechanism and predicting the toxicity of new drugs.

引用

页码：1194 / 1198

页数：5

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