SCENITH: A flow cytometry based method for functional profiling energy metabolism with single cell resolution
SCENITH: A flow cytometry based method for functional profiling energy metabolism with single cell resolution
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 nor their activation phenotype. SCENITH 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.
Boissonneau Sebastien、Gatti Evelina、Krummel Matthew F.、Combes Alexis J.、Tsui Jessica、Char Remy、Figarella-Branger Dominique、Pierre Philippe、Yan Peter、Arg¨1ello Rafael J.、Bousiquot Evens、Camosseto Voahirana、Gigan Julien-Paul、Samad Bushra、Tabouret Emeline
Aix-Marseille Univ, Institut de Neurosciences des SystemsAix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy||Institute for Research in Biomedicine (iBiMED) and Ilidio Pinho Foundation, Department of Medical Sciences, University of Aveiro||International associated laboratory (LIA) CNRS ?°Mistra?±Department of Pathology, University of California||ImmunoProfiler Initiative, University of CaliforniaDepartment of Pathology, University of California||ImmunoProfiler Initiative, University of CaliforniaDepartment of Pathology, University of California||ImmunoProfiler Initiative, University of CaliforniaAix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-LuminyAix-Marseille Univ, APHM, CNRS, INP, Inst Neurophysiopathol, CHU Timone, Service d'Anatomie Pathologique et de NeuropathologieAix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy||Institute for Research in Biomedicine (iBiMED) and Ilidio Pinho Foundation, Department of Medical Sciences, University of Aveiro||International associated laboratory (LIA) CNRS ?°Mistra?±Department of Pathology, University of California||ImmunoProfiler Initiative, University of CaliforniaAix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-LuminyAix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-LuminyAix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy||Institute for Research in Biomedicine (iBiMED) and Ilidio Pinho Foundation, Department of Medical Sciences, University of AveiroAix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-LuminyDepartment of Pathology, University of California||ImmunoProfiler Initiative, University of CaliforniaAix-Marseille Univ, APHM, CNRS, INP, Inst Neurophysiopathol, CHU Timone, Service de Neurooncologie
医学研究方法基础医学肿瘤学
Boissonneau Sebastien,Gatti Evelina,Krummel Matthew F.,Combes Alexis J.,Tsui Jessica,Char Remy,Figarella-Branger Dominique,Pierre Philippe,Yan Peter,Arg¨1ello Rafael J.,Bousiquot Evens,Camosseto Voahirana,Gigan Julien-Paul,Samad Bushra,Tabouret Emeline.SCENITH: A flow cytometry based method for functional profiling energy metabolism with single cell resolution[EB/OL].(2025-03-28)[2025-06-21].https://www.biorxiv.org/content/10.1101/2020.03.10.985796.点此复制
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