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Metabolic shift in density-dependent stem cell differentiation
BACKGROUND: Vascular progenitor cells (VPCs) derived from embryonic stem cells (ESCs) are a valuable source for cell- and tissue-based therapeutic strategies. During the optimization of endothelial cell (EC) inductions from mouse ESCs using our staged and chemically-defined induction methods, we fou...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5649068/ https://www.ncbi.nlm.nih.gov/pubmed/29052507 http://dx.doi.org/10.1186/s12964-017-0173-2 |
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author | Singh, Simar J. Turner, William Glaser, Drew E. McCloskey, Kara E. Filipp, Fabian V. |
author_facet | Singh, Simar J. Turner, William Glaser, Drew E. McCloskey, Kara E. Filipp, Fabian V. |
author_sort | Singh, Simar J. |
collection | PubMed |
description | BACKGROUND: Vascular progenitor cells (VPCs) derived from embryonic stem cells (ESCs) are a valuable source for cell- and tissue-based therapeutic strategies. During the optimization of endothelial cell (EC) inductions from mouse ESCs using our staged and chemically-defined induction methods, we found that cell seeding density but not VEGF treatment between 10 ng/mL and 40 ng/mL was a significant variable directing ESCs into FLK1(+) VPCs during stage 1 induction. Here, we examine potential contributions from cell-to-cell signaling or cellular metabolism in the production of VPCs from ESCs seeded at different cell densities. METHODS: Using 1D (1)H-NMR spectroscopy, transcriptomic arrays, and flow cytometry, we observed that the density-dependent differentiation of ESCs into FLK1(+) VPCs positively correlated with a shift in metabolism and cellular growth. RESULTS: Specifically, cell differentiation correlated with an earlier plateauing of exhaustive glycolysis, decreased lactate production, lower metabolite consumption, decreased cellular proliferation and an increase in cell size. In contrast, cells seeded at a lower density of 1,000 cells/cm(2) exhibited increased rates of glycolysis, lactate secretion, metabolite utilization, and proliferation over the same induction period. Gene expression analysis indicated that high cell seeding density correlated with up-regulation of several genes including cell adhesion molecules of the notch family (NOTCH1 and NOTCH4) and cadherin family (CDH5) related to vascular development. CONCLUSIONS: These results confirm that a distinct metabolic phenotype correlates with cell differentiation of VPCs. |
format | Online Article Text |
id | pubmed-5649068 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-56490682017-10-26 Metabolic shift in density-dependent stem cell differentiation Singh, Simar J. Turner, William Glaser, Drew E. McCloskey, Kara E. Filipp, Fabian V. Cell Commun Signal Research BACKGROUND: Vascular progenitor cells (VPCs) derived from embryonic stem cells (ESCs) are a valuable source for cell- and tissue-based therapeutic strategies. During the optimization of endothelial cell (EC) inductions from mouse ESCs using our staged and chemically-defined induction methods, we found that cell seeding density but not VEGF treatment between 10 ng/mL and 40 ng/mL was a significant variable directing ESCs into FLK1(+) VPCs during stage 1 induction. Here, we examine potential contributions from cell-to-cell signaling or cellular metabolism in the production of VPCs from ESCs seeded at different cell densities. METHODS: Using 1D (1)H-NMR spectroscopy, transcriptomic arrays, and flow cytometry, we observed that the density-dependent differentiation of ESCs into FLK1(+) VPCs positively correlated with a shift in metabolism and cellular growth. RESULTS: Specifically, cell differentiation correlated with an earlier plateauing of exhaustive glycolysis, decreased lactate production, lower metabolite consumption, decreased cellular proliferation and an increase in cell size. In contrast, cells seeded at a lower density of 1,000 cells/cm(2) exhibited increased rates of glycolysis, lactate secretion, metabolite utilization, and proliferation over the same induction period. Gene expression analysis indicated that high cell seeding density correlated with up-regulation of several genes including cell adhesion molecules of the notch family (NOTCH1 and NOTCH4) and cadherin family (CDH5) related to vascular development. CONCLUSIONS: These results confirm that a distinct metabolic phenotype correlates with cell differentiation of VPCs. BioMed Central 2017-10-20 /pmc/articles/PMC5649068/ /pubmed/29052507 http://dx.doi.org/10.1186/s12964-017-0173-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Singh, Simar J. Turner, William Glaser, Drew E. McCloskey, Kara E. Filipp, Fabian V. Metabolic shift in density-dependent stem cell differentiation |
title | Metabolic shift in density-dependent stem cell differentiation |
title_full | Metabolic shift in density-dependent stem cell differentiation |
title_fullStr | Metabolic shift in density-dependent stem cell differentiation |
title_full_unstemmed | Metabolic shift in density-dependent stem cell differentiation |
title_short | Metabolic shift in density-dependent stem cell differentiation |
title_sort | metabolic shift in density-dependent stem cell differentiation |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5649068/ https://www.ncbi.nlm.nih.gov/pubmed/29052507 http://dx.doi.org/10.1186/s12964-017-0173-2 |
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