Multi-parametric characterization of drug effects on cells

Zvi Kam, Yael Paran, Yuvalal Liron, Sarit Batsir, Nicola Mabjeesh, Benjamin Geiger

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number1199
JournalF1000Research
Volume9
DOIs
StatePublished - 1 Jan 2020
Externally publishedYes

Keywords

  • Drug effect screening
  • Microscope imaging
  • Multiparameter scoring

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • General Immunology and Microbiology
  • Pharmacology, Toxicology and Pharmaceutics (all)

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