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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...

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Autores principales: Guillemin, Anissa, Duchesne, Ronan, Crauste, Fabien, Gonin-Giraud, Sandrine, Gandrillon, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
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.
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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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