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Single-cell metabolic profiling of human cytotoxic T cells
Cellular metabolism regulates immune cell activation, differentiation and effector functions but current metabolic approaches lack single-cell resolution and simultaneous characterization of cellular phenotype. Here, we developed an approach to characterize the metabolic regulome of single cells tog...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878201/ https://www.ncbi.nlm.nih.gov/pubmed/32868913 http://dx.doi.org/10.1038/s41587-020-0651-8 |
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author | Hartmann, Felix J. Mrdjen, Dunja McCaffrey, Erin Glass, David R. Greenwald, Noah F. Bharadwaj, Anusha Khair, Zumana Verberk, Sanne G.S. Baranski, Alex Baskar, Reema Graf, William Van Valen, David den Bossche, Jan Van Angelo, Michael Bendall, Sean C. |
author_facet | Hartmann, Felix J. Mrdjen, Dunja McCaffrey, Erin Glass, David R. Greenwald, Noah F. Bharadwaj, Anusha Khair, Zumana Verberk, Sanne G.S. Baranski, Alex Baskar, Reema Graf, William Van Valen, David den Bossche, Jan Van Angelo, Michael Bendall, Sean C. |
author_sort | Hartmann, Felix J. |
collection | PubMed |
description | Cellular metabolism regulates immune cell activation, differentiation and effector functions but current metabolic approaches lack single-cell resolution and simultaneous characterization of cellular phenotype. Here, we developed an approach to characterize the metabolic regulome of single cells together with their phenotypic identity. The method, single-cell metabolic regulome profiling (scMEP), quantifies proteins that regulate metabolic pathway activity using a high-dimensional antibody-based approach. We employed mass cytometry (CyTOF) to benchmark scMEP against bulk metabolic assays by reconstructing the metabolic remodeling of in vitro-activated naïve and memory CD8(+) T cells. We applied the approach to clinical samples and identified tissue-restricted, metabolically repressed cytotoxic T cells in human colorectal carcinoma. Combining our method with imaging mass spectrometry (MIBI-TOF), we uncovered the spatial organization of metabolic programs, which indicated exclusion of metabolically repressed immune cells from the tumor-immune boundary. Overall, our approach enables robust approximation of metabolic and functional states in individual cells. |
format | Online Article Text |
id | pubmed-7878201 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
record_format | MEDLINE/PubMed |
spelling | pubmed-78782012021-02-28 Single-cell metabolic profiling of human cytotoxic T cells Hartmann, Felix J. Mrdjen, Dunja McCaffrey, Erin Glass, David R. Greenwald, Noah F. Bharadwaj, Anusha Khair, Zumana Verberk, Sanne G.S. Baranski, Alex Baskar, Reema Graf, William Van Valen, David den Bossche, Jan Van Angelo, Michael Bendall, Sean C. Nat Biotechnol Article Cellular metabolism regulates immune cell activation, differentiation and effector functions but current metabolic approaches lack single-cell resolution and simultaneous characterization of cellular phenotype. Here, we developed an approach to characterize the metabolic regulome of single cells together with their phenotypic identity. The method, single-cell metabolic regulome profiling (scMEP), quantifies proteins that regulate metabolic pathway activity using a high-dimensional antibody-based approach. We employed mass cytometry (CyTOF) to benchmark scMEP against bulk metabolic assays by reconstructing the metabolic remodeling of in vitro-activated naïve and memory CD8(+) T cells. We applied the approach to clinical samples and identified tissue-restricted, metabolically repressed cytotoxic T cells in human colorectal carcinoma. Combining our method with imaging mass spectrometry (MIBI-TOF), we uncovered the spatial organization of metabolic programs, which indicated exclusion of metabolically repressed immune cells from the tumor-immune boundary. Overall, our approach enables robust approximation of metabolic and functional states in individual cells. 2020-08-31 2021-02 /pmc/articles/PMC7878201/ /pubmed/32868913 http://dx.doi.org/10.1038/s41587-020-0651-8 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Hartmann, Felix J. Mrdjen, Dunja McCaffrey, Erin Glass, David R. Greenwald, Noah F. Bharadwaj, Anusha Khair, Zumana Verberk, Sanne G.S. Baranski, Alex Baskar, Reema Graf, William Van Valen, David den Bossche, Jan Van Angelo, Michael Bendall, Sean C. Single-cell metabolic profiling of human cytotoxic T cells |
title | Single-cell metabolic profiling of human cytotoxic T cells |
title_full | Single-cell metabolic profiling of human cytotoxic T cells |
title_fullStr | Single-cell metabolic profiling of human cytotoxic T cells |
title_full_unstemmed | Single-cell metabolic profiling of human cytotoxic T cells |
title_short | Single-cell metabolic profiling of human cytotoxic T cells |
title_sort | single-cell metabolic profiling of human cytotoxic t cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7878201/ https://www.ncbi.nlm.nih.gov/pubmed/32868913 http://dx.doi.org/10.1038/s41587-020-0651-8 |
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