Profiling single cancer cell metabolism via high-content SRS imaging with chemical sparsity.
Journal
Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440
Informations de publication
Date de publication:
18 08 2023
18 08 2023
Historique:
medline:
18
8
2023
pubmed:
16
8
2023
entrez:
16
8
2023
Statut:
ppublish
Résumé
Metabolic reprogramming in a subpopulation of cancer cells is a hallmark of tumor chemoresistance. However, single-cell metabolic profiling is difficult because of the lack of a method that can simultaneously detect multiple metabolites at the single-cell level. In this study, through hyperspectral stimulated Raman scattering (hSRS) imaging in the carbon-hydrogen (C-H) window and sparsity-driven hyperspectral image decomposition, we demonstrate a high-content hSRS (h
Identifiants
pubmed: 37585522
doi: 10.1126/sciadv.adg6061
pmc: PMC10431717
doi:
Substances chimiques
Fatty Acids
0
Hydrogen
7YNJ3PO35Z
Proteins
0
Carbon
7440-44-0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
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