| Literature DB >> 33264598 |
Rafael J Argüello1, Alexis J Combes2, Remy Char3, Julien-Paul Gigan3, Ania I Baaziz3, Evens Bousiquot3, Voahirana Camosseto4, Bushra Samad2, Jessica Tsui2, Peter Yan2, Sebastien Boissonneau5, Dominique Figarella-Branger6, Evelina Gatti7, Emeline Tabouret8, Matthew F Krummel2, Philippe Pierre7.
Abstract
Energetic metabolism reprogramming is critical for cancer and immune responses. Current methods to functionally profile the global metabolic capacities and dependencies of cells are performed in bulk. We designed a simple method for complex metabolic profiling called SCENITH, for single-cell energetic metabolism by profiling translation inhibition. SCENITH allows for the study of metabolic responses in multiple cell types in parallel by flow cytometry. SCENITH is designed to perform metabolic studies ex vivo, particularly for rare cells in whole blood samples, avoiding metabolic biases introduced by culture media. We analyzed myeloid cells in solid tumors from patients and identified variable metabolic profiles, in ways that are not linked to their lineage or their activation phenotype. SCENITH's ability to reveal global metabolic functions and determine complex and linked immune-phenotypes in rare cell subpopulations will contribute to the information needed for evaluating therapeutic responses or patient stratification.Entities:
Keywords: cell culture media and metabolism; functional assay metabolism single cells; metabolic function by flow cytometry; metabolic gene signatures; metabolic profiling of blood samples; metabolism analysis in samples from patients; protein synthesis and metabolism; translation and metabolism; tumor immunometabolism
Year: 2020 PMID： 33264598 DOI： 10.1016/j.cmet.2020.11.007
Source DB: PubMed Journal: Cell Metab ISSN： 1550-4131 Impact factor: 27.287