Perlman, Z.E. and Slack, M.D. and Feng, Y. and et al, . (2004) Multidimensional Drug Profiling by Automated Microscopy. Science, 306 (5699). pp. 1194-1198.
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Abstract
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 profiling at the single-cell level. Our methods will be useful for discovering the mechanism and predicting the toxicity of new drugs
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Phenotype, Multidimensional profiling methods, Transcript analysis, Molecular cytology |
| Author Affiliation: | Institute of Chemistry and Cell Biology, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA |
| Subjects: | Soil Science and Microbiology > Microbiology Crop Improvement > Biotechnology Plant Physiology and Biochemistry > Biochemistry |
| Divisions: | General |
| Depositing User: | Ms Ishrath Durafsha |
| Date Deposited: | 13 Nov 2014 04:12 |
| Last Modified: | 13 Nov 2014 04:12 |
| Official URL: | http://dx.doi.org/10.1126/science.1100709 |
| URI: | http://eprints.icrisat.ac.in/id/eprint/13533 |
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