Literature DB >> 33363713

Multi-parametric characterization of drug effects on cells.

Yael Paran1,2, Yuvalal Liron1, Sarit Batsir1, Nicola Mabjeesh3, Benjamin Geiger1,4, Zvi Kam1.   

Abstract

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. Copyright:
© 2021 Paran Y et al.

Entities:  

Keywords:  Drug effect screening; Microscope imaging; Multiparameter scoring

Year:  2020        PMID: 33363713      PMCID: PMC7737707.2          DOI: 10.12688/f1000research.26254.2

Source DB:  PubMed          Journal:  F1000Res        ISSN: 2046-1402


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  1 in total

1.  Multi-parametric characterization of drug effects on cells.

Authors:  Yael Paran; Yuvalal Liron; Sarit Batsir; Nicola Mabjeesh; Benjamin Geiger; Zvi Kam
Journal:  F1000Res       Date:  2020-10-05
  1 in total

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