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Met-Flow, a strategy for single-cell metabolic analysis highlights dynamic changes in immune subpopulations

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 net...

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Autores principales: Ahl, Patricia J., Hopkins, Richard A., Xiang, Wen Wei, Au, Bijin, Kaliaperumal, Nivashini, Fairhurst, Anna-Marie, Connolly, John E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292829/
https://www.ncbi.nlm.nih.gov/pubmed/32533056
http://dx.doi.org/10.1038/s42003-020-1027-9
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author Ahl, Patricia J.
Hopkins, Richard A.
Xiang, Wen Wei
Au, Bijin
Kaliaperumal, Nivashini
Fairhurst, Anna-Marie
Connolly, John E.
author_facet Ahl, Patricia J.
Hopkins, Richard A.
Xiang, Wen Wei
Au, Bijin
Kaliaperumal, Nivashini
Fairhurst, Anna-Marie
Connolly, John E.
author_sort Ahl, Patricia J.
collection PubMed
description 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.
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spelling pubmed-72928292020-06-19 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. Commun Biol Article 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. Nature Publishing Group UK 2020-06-12 /pmc/articles/PMC7292829/ /pubmed/32533056 http://dx.doi.org/10.1038/s42003-020-1027-9 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ahl, Patricia J.
Hopkins, Richard A.
Xiang, Wen Wei
Au, Bijin
Kaliaperumal, Nivashini
Fairhurst, Anna-Marie
Connolly, John E.
Met-Flow, a strategy for single-cell metabolic analysis highlights dynamic changes in immune subpopulations
title Met-Flow, a strategy for single-cell metabolic analysis highlights dynamic changes in immune subpopulations
title_full Met-Flow, a strategy for single-cell metabolic analysis highlights dynamic changes in immune subpopulations
title_fullStr Met-Flow, a strategy for single-cell metabolic analysis highlights dynamic changes in immune subpopulations
title_full_unstemmed Met-Flow, a strategy for single-cell metabolic analysis highlights dynamic changes in immune subpopulations
title_short Met-Flow, a strategy for single-cell metabolic analysis highlights dynamic changes in immune subpopulations
title_sort met-flow, a strategy for single-cell metabolic analysis highlights dynamic changes in immune subpopulations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7292829/
https://www.ncbi.nlm.nih.gov/pubmed/32533056
http://dx.doi.org/10.1038/s42003-020-1027-9
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