Image-Based Annotation of Chemogenomic Libraries for Phenotypic Screening.
cell cycle
chemogenomics
high content imaging
machine learning
phenotypic screening
Journal
Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009
Informations de publication
Date de publication:
21 Feb 2022
21 Feb 2022
Historique:
received:
07
01
2022
revised:
15
02
2022
accepted:
16
02
2022
entrez:
25
2
2022
pubmed:
26
2
2022
medline:
4
3
2022
Statut:
epublish
Résumé
Phenotypical screening is a widely used approach in drug discovery for the identification of small molecules with cellular activities. However, functional annotation of identified hits often poses a challenge. The development of small molecules with narrow or exclusive target selectivity such as chemical probes and chemogenomic (CG) libraries, greatly diminishes this challenge, but non-specific effects caused by compound toxicity or interference with basic cellular functions still pose a problem to associate phenotypic readouts with molecular targets. Hence, each compound should ideally be comprehensively characterized regarding its effects on general cell functions. Here, we report an optimized live-cell multiplexed assay that classifies cells based on nuclear morphology, presenting an excellent indicator for cellular responses such as early apoptosis and necrosis. This basic readout in combination with the detection of other general cell damaging activities of small molecules such as changes in cytoskeletal morphology, cell cycle and mitochondrial health provides a comprehensive time-dependent characterization of the effect of small molecules on cellular health in a single experiment. The developed high-content assay offers multi-dimensional comprehensive characterization that can be used to delineate generic effects regarding cell functions and cell viability, allowing an assessment of compound suitability for subsequent detailed phenotypic and mechanistic studies.
Identifiants
pubmed: 35209227
pii: molecules27041439
doi: 10.3390/molecules27041439
pmc: PMC8878468
pii:
doi:
Substances chimiques
Small Molecule Libraries
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Innovative Medicines Initiative
ID : 875510
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