Metabolic Dynamics of In Vitro CD8+ T Cell Activation

CD8+ T cells detect and kill infected or cancerous cells. When activated from their naïve state, T cells undergo a complex transition, including major metabolic reprogramming. Detailed resolution of metabolic dynamics is needed to advance the field of immunometabolism. Here, we outline methodologies...

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Main Authors: Joy Edwards-Hicks, Michael Mitterer, Erika L. Pearce, Joerg M. Buescher
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Metabolites
Subjects:
Online Access:https://www.mdpi.com/2218-1989/11/1/12
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spelling doaj-8ec78dd679dc4ccdb05b28e4f0d07c032020-12-29T00:04:45ZengMDPI AGMetabolites2218-19892021-12-0111121210.3390/metabo11010012Metabolic Dynamics of In Vitro CD8+ T Cell ActivationJoy Edwards-Hicks0Michael Mitterer1Erika L. Pearce2Joerg M. Buescher3Department of Immunometabolism, Max Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79018 Freiburg im Breisgau, GermanyMetabolomics Core Facility, Max Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79018 Freiburg im Breisgau, GermanyDepartment of Immunometabolism, Max Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79018 Freiburg im Breisgau, GermanyMetabolomics Core Facility, Max Planck Institute of Immunobiology and Epigenetics, Stübeweg 51, 79018 Freiburg im Breisgau, GermanyCD8+ T cells detect and kill infected or cancerous cells. When activated from their naïve state, T cells undergo a complex transition, including major metabolic reprogramming. Detailed resolution of metabolic dynamics is needed to advance the field of immunometabolism. Here, we outline methodologies that when utilized in parallel achieve broad coverage of the metabolome. Specifically, we used a combination of 2 flow injection analysis (FIA) and 3 liquid chromatography (LC) methods in combination with positive and negative mode high-resolution mass spectrometry (MS) to study the transition from naïve to effector T cells with fine-grained time resolution. Depending on the method, between 54% and 98% of measured metabolic features change in a time-dependent manner, with the major changes in both polar metabolites and lipids occurring in the first 48 h. The statistical analysis highlighted the remodeling of the polyamine biosynthesis pathway, with marked differences in the dynamics of precursors, intermediates, and cofactors. Moreover, phosphatidylcholines, the major class of membrane lipids, underwent a drastic shift in acyl chain composition with polyunsaturated species decreasing from 60% to 25% of the total pool and specifically depleting species containing a 20:4 fatty acid. We hope that this data set with a total of over 11,000 features recorded with multiple MS methodologies for 9 time points will be a useful resource for future work.https://www.mdpi.com/2218-1989/11/1/12T cellactivationmetabolic reprogrammingmetabolomicslipidomicsLC-MS
collection DOAJ
language English
format Article
sources DOAJ
author Joy Edwards-Hicks
Michael Mitterer
Erika L. Pearce
Joerg M. Buescher
spellingShingle Joy Edwards-Hicks
Michael Mitterer
Erika L. Pearce
Joerg M. Buescher
Metabolic Dynamics of In Vitro CD8+ T Cell Activation
Metabolites
T cell
activation
metabolic reprogramming
metabolomics
lipidomics
LC-MS
author_facet Joy Edwards-Hicks
Michael Mitterer
Erika L. Pearce
Joerg M. Buescher
author_sort Joy Edwards-Hicks
title Metabolic Dynamics of In Vitro CD8+ T Cell Activation
title_short Metabolic Dynamics of In Vitro CD8+ T Cell Activation
title_full Metabolic Dynamics of In Vitro CD8+ T Cell Activation
title_fullStr Metabolic Dynamics of In Vitro CD8+ T Cell Activation
title_full_unstemmed Metabolic Dynamics of In Vitro CD8+ T Cell Activation
title_sort metabolic dynamics of in vitro cd8+ t cell activation
publisher MDPI AG
series Metabolites
issn 2218-1989
publishDate 2021-12-01
description CD8+ T cells detect and kill infected or cancerous cells. When activated from their naïve state, T cells undergo a complex transition, including major metabolic reprogramming. Detailed resolution of metabolic dynamics is needed to advance the field of immunometabolism. Here, we outline methodologies that when utilized in parallel achieve broad coverage of the metabolome. Specifically, we used a combination of 2 flow injection analysis (FIA) and 3 liquid chromatography (LC) methods in combination with positive and negative mode high-resolution mass spectrometry (MS) to study the transition from naïve to effector T cells with fine-grained time resolution. Depending on the method, between 54% and 98% of measured metabolic features change in a time-dependent manner, with the major changes in both polar metabolites and lipids occurring in the first 48 h. The statistical analysis highlighted the remodeling of the polyamine biosynthesis pathway, with marked differences in the dynamics of precursors, intermediates, and cofactors. Moreover, phosphatidylcholines, the major class of membrane lipids, underwent a drastic shift in acyl chain composition with polyunsaturated species decreasing from 60% to 25% of the total pool and specifically depleting species containing a 20:4 fatty acid. We hope that this data set with a total of over 11,000 features recorded with multiple MS methodologies for 9 time points will be a useful resource for future work.
topic T cell
activation
metabolic reprogramming
metabolomics
lipidomics
LC-MS
url https://www.mdpi.com/2218-1989/11/1/12
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AT michaelmitterer metabolicdynamicsofinvitrocd8tcellactivation
AT erikalpearce metabolicdynamicsofinvitrocd8tcellactivation
AT joergmbuescher metabolicdynamicsofinvitrocd8tcellactivation
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