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Glucose Metabolism and Aging of Hematopoietic Stem and Progenitor Cells

Comprehensive proteomics studies of human hematopoietic stem and progenitor cells (HSPC) have revealed that aging of the HSPC compartment is characterized by elevated glycolysis. This is in addition to deregulations found in murine transcriptomics studies, such as an increased differentiation bias t...

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Autores principales: Poisa-Beiro, Laura, Landry, Jonathan J. M., Raffel, Simon, Tanaka, Motomu, Zaugg, Judith, Gavin, Anne-Claude, Ho, Anthony D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955027/
https://www.ncbi.nlm.nih.gov/pubmed/35328449
http://dx.doi.org/10.3390/ijms23063028
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author Poisa-Beiro, Laura
Landry, Jonathan J. M.
Raffel, Simon
Tanaka, Motomu
Zaugg, Judith
Gavin, Anne-Claude
Ho, Anthony D.
author_facet Poisa-Beiro, Laura
Landry, Jonathan J. M.
Raffel, Simon
Tanaka, Motomu
Zaugg, Judith
Gavin, Anne-Claude
Ho, Anthony D.
author_sort Poisa-Beiro, Laura
collection PubMed
description Comprehensive proteomics studies of human hematopoietic stem and progenitor cells (HSPC) have revealed that aging of the HSPC compartment is characterized by elevated glycolysis. This is in addition to deregulations found in murine transcriptomics studies, such as an increased differentiation bias towards the myeloid lineage, alterations in DNA repair, and a decrease in lymphoid development. The increase in glycolytic enzyme activity is caused by the expansion of a more glycolytic HSPC subset. We therefore developed a method to isolate HSPC into three distinct categories according to their glucose uptake (GU) levels, namely the GU(high), GU(inter) and GU(low) subsets. Single-cell transcriptomics studies showed that the GU(high) subset is highly enriched for HSPC with a differentiation bias towards myeloid lineages. Gene set enrichment analysis (GSEA) demonstrated that the gene sets for cell cycle arrest, senescence-associated secretory phenotype, and the anti-apoptosis and P53 pathways are significantly upregulated in the GU(high) population. With this series of studies, we have produced a comprehensive proteomics and single-cell transcriptomics atlas of molecular changes in human HSPC upon aging. Although many of the molecular deregulations are similar to those found in mice, there are significant differences. The most unique finding is the association of elevated central carbon metabolism with senescence. Due to the lack of specific markers, the isolation and collection of senescent cells have yet to be developed, especially for human HSPC. The GU(high) subset from the human HSPC compartment possesses all the transcriptome characteristics of senescence. This property may be exploited to accurately enrich, visualize, and trace senescence development in human bone marrow.
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spelling pubmed-89550272022-03-26 Glucose Metabolism and Aging of Hematopoietic Stem and Progenitor Cells Poisa-Beiro, Laura Landry, Jonathan J. M. Raffel, Simon Tanaka, Motomu Zaugg, Judith Gavin, Anne-Claude Ho, Anthony D. Int J Mol Sci Review Comprehensive proteomics studies of human hematopoietic stem and progenitor cells (HSPC) have revealed that aging of the HSPC compartment is characterized by elevated glycolysis. This is in addition to deregulations found in murine transcriptomics studies, such as an increased differentiation bias towards the myeloid lineage, alterations in DNA repair, and a decrease in lymphoid development. The increase in glycolytic enzyme activity is caused by the expansion of a more glycolytic HSPC subset. We therefore developed a method to isolate HSPC into three distinct categories according to their glucose uptake (GU) levels, namely the GU(high), GU(inter) and GU(low) subsets. Single-cell transcriptomics studies showed that the GU(high) subset is highly enriched for HSPC with a differentiation bias towards myeloid lineages. Gene set enrichment analysis (GSEA) demonstrated that the gene sets for cell cycle arrest, senescence-associated secretory phenotype, and the anti-apoptosis and P53 pathways are significantly upregulated in the GU(high) population. With this series of studies, we have produced a comprehensive proteomics and single-cell transcriptomics atlas of molecular changes in human HSPC upon aging. Although many of the molecular deregulations are similar to those found in mice, there are significant differences. The most unique finding is the association of elevated central carbon metabolism with senescence. Due to the lack of specific markers, the isolation and collection of senescent cells have yet to be developed, especially for human HSPC. The GU(high) subset from the human HSPC compartment possesses all the transcriptome characteristics of senescence. This property may be exploited to accurately enrich, visualize, and trace senescence development in human bone marrow. MDPI 2022-03-11 /pmc/articles/PMC8955027/ /pubmed/35328449 http://dx.doi.org/10.3390/ijms23063028 Text en © 2022 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
Poisa-Beiro, Laura
Landry, Jonathan J. M.
Raffel, Simon
Tanaka, Motomu
Zaugg, Judith
Gavin, Anne-Claude
Ho, Anthony D.
Glucose Metabolism and Aging of Hematopoietic Stem and Progenitor Cells
title Glucose Metabolism and Aging of Hematopoietic Stem and Progenitor Cells
title_full Glucose Metabolism and Aging of Hematopoietic Stem and Progenitor Cells
title_fullStr Glucose Metabolism and Aging of Hematopoietic Stem and Progenitor Cells
title_full_unstemmed Glucose Metabolism and Aging of Hematopoietic Stem and Progenitor Cells
title_short Glucose Metabolism and Aging of Hematopoietic Stem and Progenitor Cells
title_sort glucose metabolism and aging of hematopoietic stem and progenitor cells
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955027/
https://www.ncbi.nlm.nih.gov/pubmed/35328449
http://dx.doi.org/10.3390/ijms23063028
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