Multi-parametric characterization of drug effects on cells
| Autor: | Zvi Kam, Nicola J. Mabjeesh, Sarit Batsir, Benjamin Geiger, Yuvalal Liron, Yael Paran |
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| Rok vydání: | 2020 |
| Předmět: |
Drug
0301 basic medicine media_common.quotation_subject Computational biology Biology Multiparameter scoring General Biochemistry Genetics and Molecular Biology Cell Line 03 medical and health sciences 0302 clinical medicine Cultured cell Humans In patient General Pharmacology Toxicology and Pharmaceutics media_common Microscopy Multi parametric General Immunology and Microbiology Articles General Medicine Method Article On cells 030104 developmental biology Pharmaceutical Preparations Microscope imaging 030220 oncology & carcinogenesis Drug effect screening |
| Zdroj: | F1000Research |
| ISSN: | 2046-1402 |
| Popis: | We present here a novel multi-parametric approach for the characterization of multiple cellular features, using images acquired by high-throughput and high-definition light microscopy. We specifically used this approach for deep and unbiased analysis of the effects of a drug library on five cultured cell lines. The presented method enables the acquisition and analysis of millions of images, of treated and control cells, followed by an automated identification of drugs inducing strong responses, evaluating the median effect concentrations and those cellular properties that are most highly affected by the drug. The tools described here provide standardized quantification of multiple attributes for systems level dissection of complex functions in normal and diseased cells, using multiple perturbations. Such analysis of cells, derived from pathological samples, may help in the diagnosis and follow-up of treatment in patients. |
| Databáze: | OpenAIRE |
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