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SCENITH: A Flow Cytometry-Based Method to Functionally Profile Energy Metabolism with Single-Cell Resolution.
Argüello, Rafael J; Combes, Alexis J; Char, Remy; Gigan, Julien-Paul; Baaziz, Ania I; Bousiquot, Evens; Camosseto, Voahirana; Samad, Bushra; Tsui, Jessica; Yan, Peter; Boissonneau, Sebastien; Figarella-Branger, Dominique; Gatti, Evelina; Tabouret, Emeline; Krummel, Matthew F; Pierre, Philippe.
Afiliação
  • Argüello RJ; Aix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy, Marseille, France. Electronic address: arguello@ciml.univ-mrs.fr.
  • Combes AJ; Department of Pathology, University of California, San Francisco, San Francisco, CA, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA, USA.
  • Char R; Aix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy, Marseille, France.
  • Gigan JP; Aix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy, Marseille, France.
  • Baaziz AI; Aix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy, Marseille, France.
  • Bousiquot E; Aix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy, Marseille, France.
  • Camosseto V; Aix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy, Marseille, France; Institute for Research in Biomedicine (iBiMED) and Ilidio Pinho Foundation, Department of Medical Sciences, University of Aveiro, 3810-193 Aveiro, Portugal.
  • Samad B; Department of Pathology, University of California, San Francisco, San Francisco, CA, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA, USA.
  • Tsui J; Department of Pathology, University of California, San Francisco, San Francisco, CA, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA, USA.
  • Yan P; Department of Pathology, University of California, San Francisco, San Francisco, CA, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA, USA.
  • Boissonneau S; Aix-Marseille Univ, Institut de Neurosciences des Systems, Faculté de Medecine, Marseille, France.
  • Figarella-Branger D; Aix-Marseille Univ, APHM, CNRS, INP, Inst Neurophysiopathol, CHU Timone, Service d'Anatomie Pathologique et de Neuropathologie, Marseille, France.
  • Gatti E; Aix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy, Marseille, France; Institute for Research in Biomedicine (iBiMED) and Ilidio Pinho Foundation, Department of Medical Sciences, University of Aveiro, 3810-193 Aveiro, Portugal; International Associated Laboratory (LIA)
  • Tabouret E; Aix-Marseille Univ, APHM, CNRS, INP, Inst Neurophysiopathol, CHU Timone, Service de Neurooncologie, Marseille, France.
  • Krummel MF; Department of Pathology, University of California, San Francisco, San Francisco, CA, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA, USA.
  • Pierre P; Aix Marseille Univ, CNRS, INSERM, CIML, Centre d'Immunologie de Marseille-Luminy, Marseille, France; Institute for Research in Biomedicine (iBiMED) and Ilidio Pinho Foundation, Department of Medical Sciences, University of Aveiro, 3810-193 Aveiro, Portugal; International Associated Laboratory (LIA)
Cell Metab ; 32(6): 1063-1075.e7, 2020 12 01.
Article em En | MEDLINE | ID: mdl-33264598
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metabolismo Energético / Metaboloma / Análise de Célula Única / Neoplasias Tipo de estudo: Prognostic_studies Limite: Adult / Animals / Female / Humans / Male / Middle aged Idioma: En Revista: Cell Metab Assunto da revista: METABOLISMO Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Metabolismo Energético / Metaboloma / Análise de Célula Única / Neoplasias Tipo de estudo: Prognostic_studies Limite: Adult / Animals / Female / Humans / Male / Middle aged Idioma: En Revista: Cell Metab Assunto da revista: METABOLISMO Ano de publicação: 2020 Tipo de documento: Article
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