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RNA Flow Cytometry for the Study of T Cell Metabolism
T cells undergo activation and differentiation programs along a continuum of states that can be tracked through flow cytometry using a combination of surface and intracellular markers. Such dynamic behavior is the result of transcriptional and post-transcriptional events, initiated and sustained by...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069477/ https://www.ncbi.nlm.nih.gov/pubmed/33918901 http://dx.doi.org/10.3390/ijms22083906 |
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author | Rossi, Alessandra Pacella, Ilenia Piconese, Silvia |
author_facet | Rossi, Alessandra Pacella, Ilenia Piconese, Silvia |
author_sort | Rossi, Alessandra |
collection | PubMed |
description | T cells undergo activation and differentiation programs along a continuum of states that can be tracked through flow cytometry using a combination of surface and intracellular markers. Such dynamic behavior is the result of transcriptional and post-transcriptional events, initiated and sustained by the activation of specific transcription factors and by epigenetic remodeling. These signaling pathways are tightly integrated with metabolic routes in a bidirectional manner: on the one hand, T cell receptors and costimulatory molecules activate metabolic reprogramming; on the other hand, metabolites modify T cell transcriptional programs and functions. Flow cytometry represents an invaluable tool to analyze the integration of phenotypical, functional, metabolic and transcriptional features, at the single cell level in heterogeneous T cell populations, and from complex microenvironments, with potential clinical application in monitoring the efficacy of cancer immunotherapy. Here, we review the most recent advances in flow cytometry-based analysis of gene expression, in combination with indicators of mitochondrial activity, with the aim of revealing and characterizing major metabolic pathways in T cells. |
format | Online Article Text |
id | pubmed-8069477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-80694772021-04-26 RNA Flow Cytometry for the Study of T Cell Metabolism Rossi, Alessandra Pacella, Ilenia Piconese, Silvia Int J Mol Sci Review T cells undergo activation and differentiation programs along a continuum of states that can be tracked through flow cytometry using a combination of surface and intracellular markers. Such dynamic behavior is the result of transcriptional and post-transcriptional events, initiated and sustained by the activation of specific transcription factors and by epigenetic remodeling. These signaling pathways are tightly integrated with metabolic routes in a bidirectional manner: on the one hand, T cell receptors and costimulatory molecules activate metabolic reprogramming; on the other hand, metabolites modify T cell transcriptional programs and functions. Flow cytometry represents an invaluable tool to analyze the integration of phenotypical, functional, metabolic and transcriptional features, at the single cell level in heterogeneous T cell populations, and from complex microenvironments, with potential clinical application in monitoring the efficacy of cancer immunotherapy. Here, we review the most recent advances in flow cytometry-based analysis of gene expression, in combination with indicators of mitochondrial activity, with the aim of revealing and characterizing major metabolic pathways in T cells. MDPI 2021-04-09 /pmc/articles/PMC8069477/ /pubmed/33918901 http://dx.doi.org/10.3390/ijms22083906 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Rossi, Alessandra Pacella, Ilenia Piconese, Silvia RNA Flow Cytometry for the Study of T Cell Metabolism |
title | RNA Flow Cytometry for the Study of T Cell Metabolism |
title_full | RNA Flow Cytometry for the Study of T Cell Metabolism |
title_fullStr | RNA Flow Cytometry for the Study of T Cell Metabolism |
title_full_unstemmed | RNA Flow Cytometry for the Study of T Cell Metabolism |
title_short | RNA Flow Cytometry for the Study of T Cell Metabolism |
title_sort | rna flow cytometry for the study of t cell metabolism |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069477/ https://www.ncbi.nlm.nih.gov/pubmed/33918901 http://dx.doi.org/10.3390/ijms22083906 |
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