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Met-Flow, a strategy for single-cell metabolic analysis highlights dynamic changes in immune subpopulations.
Ahl, Patricia J; Hopkins, Richard A; Xiang, Wen Wei; Au, Bijin; Kaliaperumal, Nivashini; Fairhurst, Anna-Marie; Connolly, John E.
Afiliação
  • Ahl PJ; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore.
  • Hopkins RA; Department of Microbiology and Immunology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117545, Singapore.
  • Xiang WW; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore.
  • Au B; Tessa Therapeutics Pte Ltd, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore.
  • Kaliaperumal N; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore.
  • Fairhurst AM; Tessa Therapeutics Pte Ltd, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore.
  • Connolly JE; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore.
Commun Biol ; 3(1): 305, 2020 06 12.
Article em En | MEDLINE | ID: mdl-32533056
ABSTRACT
A complex interaction of anabolic and catabolic metabolism underpins the ability of leukocytes to mount an immune response. Their capacity to respond to changing environments by metabolic reprogramming is crucial to effector function. However, current methods lack the ability to interrogate this network of metabolic pathways at single-cell level within a heterogeneous population. We present Met-Flow, a flow cytometry-based method capturing the metabolic state of immune cells by targeting key proteins and rate-limiting enzymes across multiple pathways. We demonstrate the ability to simultaneously measure divergent metabolic profiles and dynamic remodeling in human peripheral blood mononuclear cells. Using Met-Flow, we discovered that glucose restriction and metabolic remodeling drive the expansion of an inflammatory central memory T cell subset. This method captures the complex metabolic state of any cell as it relates to phenotype and function, leading to a greater understanding of the role of metabolic heterogeneity in immune responses.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Leucócitos Mononucleares / Ativação Linfocitária / Subpopulações de Linfócitos T / Metaboloma / Análise de Célula Única / Citometria de Fluxo / Memória Imunológica Limite: Humans Idioma: En Revista: Commun Biol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Singapura

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Leucócitos Mononucleares / Ativação Linfocitária / Subpopulações de Linfócitos T / Metaboloma / Análise de Célula Única / Citometria de Fluxo / Memória Imunológica Limite: Humans Idioma: En Revista: Commun Biol Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Singapura