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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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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. |
format | Online Article Text |
id | pubmed-7292829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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