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Drugs modulating stochastic gene expression affect the erythroid differentiation process
To better understand the mechanisms behind cells decision-making to differentiate, we assessed the influence of stochastic gene expression (SGE) modulation on the erythroid differentiation process. It has been suggested that stochastic gene expression has a role in cell fate decision-making which is...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6872177/ https://www.ncbi.nlm.nih.gov/pubmed/31751364 http://dx.doi.org/10.1371/journal.pone.0225166 |
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author | Guillemin, Anissa Duchesne, Ronan Crauste, Fabien Gonin-Giraud, Sandrine Gandrillon, Olivier |
author_facet | Guillemin, Anissa Duchesne, Ronan Crauste, Fabien Gonin-Giraud, Sandrine Gandrillon, Olivier |
author_sort | Guillemin, Anissa |
collection | PubMed |
description | To better understand the mechanisms behind cells decision-making to differentiate, we assessed the influence of stochastic gene expression (SGE) modulation on the erythroid differentiation process. It has been suggested that stochastic gene expression has a role in cell fate decision-making which is revealed by single-cell analyses but studies dedicated to demonstrate the consistency of this link are still lacking. Recent observations showed that SGE significantly increased during differentiation and a few showed that an increase of the level of SGE is accompanied by an increase in the differentiation process. However, a consistent relation in both increasing and decreasing directions has never been shown in the same cellular system. Such demonstration would require to be able to experimentally manipulate simultaneously the level of SGE and cell differentiation in order to observe if cell behavior matches with the current theory. We identified three drugs that modulate SGE in primary erythroid progenitor cells. Both Artemisinin and Indomethacin decreased SGE and reduced the amount of differentiated cells. On the contrary, a third component called MB-3 simultaneously increased the level of SGE and the amount of differentiated cells. We then used a dynamical modelling approach which confirmed that differentiation rates were indeed affected by the drug treatment. Using single-cell analysis and modeling tools, we provide experimental evidence that, in a physiologically relevant cellular system, SGE is linked to differentiation. |
format | Online Article Text |
id | pubmed-6872177 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-68721772019-12-07 Drugs modulating stochastic gene expression affect the erythroid differentiation process Guillemin, Anissa Duchesne, Ronan Crauste, Fabien Gonin-Giraud, Sandrine Gandrillon, Olivier PLoS One Research Article To better understand the mechanisms behind cells decision-making to differentiate, we assessed the influence of stochastic gene expression (SGE) modulation on the erythroid differentiation process. It has been suggested that stochastic gene expression has a role in cell fate decision-making which is revealed by single-cell analyses but studies dedicated to demonstrate the consistency of this link are still lacking. Recent observations showed that SGE significantly increased during differentiation and a few showed that an increase of the level of SGE is accompanied by an increase in the differentiation process. However, a consistent relation in both increasing and decreasing directions has never been shown in the same cellular system. Such demonstration would require to be able to experimentally manipulate simultaneously the level of SGE and cell differentiation in order to observe if cell behavior matches with the current theory. We identified three drugs that modulate SGE in primary erythroid progenitor cells. Both Artemisinin and Indomethacin decreased SGE and reduced the amount of differentiated cells. On the contrary, a third component called MB-3 simultaneously increased the level of SGE and the amount of differentiated cells. We then used a dynamical modelling approach which confirmed that differentiation rates were indeed affected by the drug treatment. Using single-cell analysis and modeling tools, we provide experimental evidence that, in a physiologically relevant cellular system, SGE is linked to differentiation. Public Library of Science 2019-11-21 /pmc/articles/PMC6872177/ /pubmed/31751364 http://dx.doi.org/10.1371/journal.pone.0225166 Text en © 2019 Guillemin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Guillemin, Anissa Duchesne, Ronan Crauste, Fabien Gonin-Giraud, Sandrine Gandrillon, Olivier Drugs modulating stochastic gene expression affect the erythroid differentiation process |
title | Drugs modulating stochastic gene expression affect the erythroid differentiation process |
title_full | Drugs modulating stochastic gene expression affect the erythroid differentiation process |
title_fullStr | Drugs modulating stochastic gene expression affect the erythroid differentiation process |
title_full_unstemmed | Drugs modulating stochastic gene expression affect the erythroid differentiation process |
title_short | Drugs modulating stochastic gene expression affect the erythroid differentiation process |
title_sort | drugs modulating stochastic gene expression affect the erythroid differentiation process |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6872177/ https://www.ncbi.nlm.nih.gov/pubmed/31751364 http://dx.doi.org/10.1371/journal.pone.0225166 |
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