SCENITH: A Flow Cytometry-Based Method to Functionally Profile Energy Metabolism with Single-Cell Resolution
Centre National de la Recherche Scientifique · Inserm · +6 more institutions
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Abstract
No abstract available for this paper.
Citation impact
522
total citations
- FWCI
- 15.25
- Percentile
- 100%
- References
- 54
Citations per year
Authors
16- RJRafael J. ArgüelloCorresponding
Centre National de la Recherche Scientifique, Inserm, Centre d’Immunologie de Marseille-Luminy
- AJAlexis J. Combes
University of California, San Francisco, University of San Francisco
- RCRémy Char
Centre National de la Recherche Scientifique, Inserm, Centre d’Immunologie de Marseille-Luminy
- JGJulien-Paul Gigan
Centre National de la Recherche Scientifique, Inserm, Centre d’Immunologie de Marseille-Luminy
- AIAnia I. Baaziz
Centre National de la Recherche Scientifique, Inserm, Centre d’Immunologie de Marseille-Luminy
Topics & keywords
Topics
Keywords
- Flow cytometry
- Phenotype
- Biology
- Ex vivo
- Immune system
- Metabolic pathway
- Reprogramming
- Cell biology
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