Coupling live-cell imaging and
Cell isolation
Cell-based Assays
Microscopy
Single Cell
Systems biology
Journal
STAR protocols
ISSN: 2666-1667
Titre abrégé: STAR Protoc
Pays: United States
ID NLM: 101769501
Informations de publication
Date de publication:
16 09 2022
16 09 2022
Historique:
entrez:
31
8
2022
pubmed:
1
9
2022
medline:
3
9
2022
Statut:
epublish
Résumé
Cell response variability is a starting point in cancer drug resistance that has been difficult to analyze because the tolerant cell states are short lived. Here, we present fate-seq, an approach to isolate single cells in their transient states of drug sensitivity or tolerance before profiling. The drug response is predicted in live cells, which are laser-captured by microdissection before any drug-induced change can alter their states. This framework enables the identification of the cell-state signatures causing differential cell decisions upon treatment. For complete details on the use and execution of this protocol, please refer to Meyer et al. (2020).
Identifiants
pubmed: 36042886
doi: 10.1016/j.xpro.2022.101600
pii: S2666-1667(22)00480-4
pmc: PMC9420533
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
101600Informations de copyright
© 2022 The Author(s).
Déclaration de conflit d'intérêts
Methods and results presented here are part of a patent application (J.R. and A.P.).
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