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Metabolomic profiling of rare cell populations isolated by flow cytometry from tissues

Little is known about the metabolic regulation of rare cell populations because most metabolites are hard to detect in small numbers of cells. We previously described a method for metabolomic profiling of flow cytometrically isolated hematopoietic stem cells (HSCs) that detects 60 metabolites in 10,...

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Autores principales: DeVilbiss, Andrew W, Zhao, Zhiyu, Martin-Sandoval, Misty S, Ubellacker, Jessalyn M, Tasdogan, Alpaslan, Agathocleous, Michalis, Mathews, Thomas P, Morrison, Sean J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7847306/
https://www.ncbi.nlm.nih.gov/pubmed/33470192
http://dx.doi.org/10.7554/eLife.61980
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author DeVilbiss, Andrew W
Zhao, Zhiyu
Martin-Sandoval, Misty S
Ubellacker, Jessalyn M
Tasdogan, Alpaslan
Agathocleous, Michalis
Mathews, Thomas P
Morrison, Sean J
author_facet DeVilbiss, Andrew W
Zhao, Zhiyu
Martin-Sandoval, Misty S
Ubellacker, Jessalyn M
Tasdogan, Alpaslan
Agathocleous, Michalis
Mathews, Thomas P
Morrison, Sean J
author_sort DeVilbiss, Andrew W
collection PubMed
description Little is known about the metabolic regulation of rare cell populations because most metabolites are hard to detect in small numbers of cells. We previously described a method for metabolomic profiling of flow cytometrically isolated hematopoietic stem cells (HSCs) that detects 60 metabolites in 10,000 cells (Agathocleous et al., 2017). Here we describe a new method involving hydrophilic liquid interaction chromatography and high-sensitivity orbitrap mass spectrometry that detected 160 metabolites in 10,000 HSCs, including many more glycolytic and lipid intermediates. We improved chromatographic separation, increased mass resolution, minimized ion suppression, and eliminated sample drying. Most metabolite levels did not significantly change during cell isolation. Mouse HSCs exhibited increased glycerophospholipids relative to bone marrow cells and methotrexate treatment altered purine biosynthesis. Circulating human melanoma cells were depleted for purine intermediates relative to subcutaneous tumors, suggesting decreased purine synthesis during metastasis. These methods facilitate the routine metabolomic analysis of rare cells from tissues.
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spelling pubmed-78473062021-02-01 Metabolomic profiling of rare cell populations isolated by flow cytometry from tissues DeVilbiss, Andrew W Zhao, Zhiyu Martin-Sandoval, Misty S Ubellacker, Jessalyn M Tasdogan, Alpaslan Agathocleous, Michalis Mathews, Thomas P Morrison, Sean J eLife Stem Cells and Regenerative Medicine Little is known about the metabolic regulation of rare cell populations because most metabolites are hard to detect in small numbers of cells. We previously described a method for metabolomic profiling of flow cytometrically isolated hematopoietic stem cells (HSCs) that detects 60 metabolites in 10,000 cells (Agathocleous et al., 2017). Here we describe a new method involving hydrophilic liquid interaction chromatography and high-sensitivity orbitrap mass spectrometry that detected 160 metabolites in 10,000 HSCs, including many more glycolytic and lipid intermediates. We improved chromatographic separation, increased mass resolution, minimized ion suppression, and eliminated sample drying. Most metabolite levels did not significantly change during cell isolation. Mouse HSCs exhibited increased glycerophospholipids relative to bone marrow cells and methotrexate treatment altered purine biosynthesis. Circulating human melanoma cells were depleted for purine intermediates relative to subcutaneous tumors, suggesting decreased purine synthesis during metastasis. These methods facilitate the routine metabolomic analysis of rare cells from tissues. eLife Sciences Publications, Ltd 2021-01-20 /pmc/articles/PMC7847306/ /pubmed/33470192 http://dx.doi.org/10.7554/eLife.61980 Text en © 2021, DeVilbiss et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Stem Cells and Regenerative Medicine
DeVilbiss, Andrew W
Zhao, Zhiyu
Martin-Sandoval, Misty S
Ubellacker, Jessalyn M
Tasdogan, Alpaslan
Agathocleous, Michalis
Mathews, Thomas P
Morrison, Sean J
Metabolomic profiling of rare cell populations isolated by flow cytometry from tissues
title Metabolomic profiling of rare cell populations isolated by flow cytometry from tissues
title_full Metabolomic profiling of rare cell populations isolated by flow cytometry from tissues
title_fullStr Metabolomic profiling of rare cell populations isolated by flow cytometry from tissues
title_full_unstemmed Metabolomic profiling of rare cell populations isolated by flow cytometry from tissues
title_short Metabolomic profiling of rare cell populations isolated by flow cytometry from tissues
title_sort metabolomic profiling of rare cell populations isolated by flow cytometry from tissues
topic Stem Cells and Regenerative Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7847306/
https://www.ncbi.nlm.nih.gov/pubmed/33470192
http://dx.doi.org/10.7554/eLife.61980
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