Literature DB >> 30519943

The Cell Painting Assay as a Screening Tool for the Discovery of Bioactivities in New Chemical Matter.

Axel Pahl1, Sonja Sievers2.   

Abstract

Multiparametric phenotypic screening based on cellular morphology interrogates many biological pathways simultaneously and is therefore a valuable screening tool for the discovery of new biological activities. The cell painting assay stains various cellular features using six different dyes in one well. By automated image analysis, hundreds of parameters are calculated from the images which deliver a phenotypic profile of the cell. It has been shown that compounds with similar modes of action deliver similar phenotypic profiles. Using a reference set of compounds with known modes of action, it is possible to assign probable modes of action to new compounds and to discover compounds with potentially new modes of action.Here we describe the cell painting assay as a screening tool using a hit identification workflow which has been implemented using open-source software.

Keywords:  Cell painting assay; Hit identification; Morphological profiling; Phenotypic profile; Screening

Mesh:

Substances:

Year:  2019        PMID: 30519943     DOI: 10.1007/978-1-4939-8891-4_6

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

Review 1.  Phenotypic drug discovery: recent successes, lessons learned and new directions.

Authors:  Fabien Vincent; Arsenio Nueda; Jonathan Lee; Monica Schenone; Marco Prunotto; Mark Mercola
Journal:  Nat Rev Drug Discov       Date:  2022-05-30       Impact factor: 112.288

2.  Morphological Profiling Identifies a Common Mode of Action for Small Molecules with Different Targets.

Authors:  Tabea Schneidewind; Alexandra Brause; Axel Pahl; Annina Burhop; Tom Mejuch; Sonja Sievers; Herbert Waldmann; Slava Ziegler
Journal:  Chembiochem       Date:  2020-07-24       Impact factor: 3.164

3.  Label-free prediction of cell painting from brightfield images.

Authors:  Riku Turkki; Yinhai Wang; Jan Oscar Cross-Zamirski; Elizabeth Mouchet; Guy Williams; Carola-Bibiane Schönlieb
Journal:  Sci Rep       Date:  2022-06-15       Impact factor: 4.996

4.  A phenomics approach for antiviral drug discovery.

Authors:  Jonne Rietdijk; Marianna Tampere; Aleksandra Pettke; Polina Georgiev; Maris Lapins; Ulrika Warpman-Berglund; Ola Spjuth; Marjo-Riitta Puumalainen; Jordi Carreras-Puigvert
Journal:  BMC Biol       Date:  2021-08-02       Impact factor: 7.431

  4 in total

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