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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2019-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0225166 |
| _version_ | 1819044412379889664 |
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| author | Anissa Guillemin Ronan Duchesne Fabien Crauste Sandrine Gonin-Giraud Olivier Gandrillon |
| author_facet | Anissa Guillemin Ronan Duchesne Fabien Crauste Sandrine Gonin-Giraud Olivier Gandrillon |
| author_sort | Anissa Guillemin |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-21T10:12:16Z |
| format | Article |
| id | doaj.art-09936ecb0e9248fc8d2b2db611a6cee2 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-21T10:12:16Z |
| publishDate | 2019-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-09936ecb0e9248fc8d2b2db611a6cee22022-12-21T19:07:40ZengPublic Library of Science (PLoS)PLoS ONE1932-62032019-01-011411e022516610.1371/journal.pone.0225166Drugs modulating stochastic gene expression affect the erythroid differentiation process.Anissa GuilleminRonan DuchesneFabien CrausteSandrine Gonin-GiraudOlivier GandrillonTo 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.https://doi.org/10.1371/journal.pone.0225166 |
| spellingShingle | Anissa Guillemin Ronan Duchesne Fabien Crauste Sandrine Gonin-Giraud Olivier Gandrillon Drugs modulating stochastic gene expression affect the erythroid differentiation process. PLoS ONE |
| 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 |
| url | https://doi.org/10.1371/journal.pone.0225166 |
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