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调控随机基因表达的药物会影响红细胞分化过程。

Drugs modulating stochastic gene expression affect the erythroid differentiation process.

机构信息

Laboratoire de biologie et modélisation de la cellule. LBMC - Ecole Normale Supérieure - Lyon, Université Claude Bernard Lyon 1, Centre National de la Recherche Scientifique: UMR5239, Institut National de la Santé et de la Recherche Médicale: U1210 - Ecole Normale Supérieure de Lyon 46 allée d'Italie 69007 Lyon, France.

Inria Dracula, Villeurbanne, France.

出版信息

PLoS One. 2019 Nov 21;14(11):e0225166. doi: 10.1371/journal.pone.0225166. eCollection 2019.

Abstract

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.

摘要

为了更好地理解细胞分化决策背后的机制,我们评估了随机基因表达(Stochastic Gene Expression,SGE)调控对红细胞分化过程的影响。已有研究表明,随机基因表达在细胞命运决策中起作用,单细胞分析也揭示了这一点,但仍缺乏专门用于证明这一联系一致性的研究。最近的观察结果表明,SGE 在分化过程中显著增加,一些研究表明,SGE 水平的增加伴随着分化过程的增加。然而,在同一细胞系统中,从未在增加和减少两个方向上表现出一致的关系。这种证明需要能够同时实验性地操纵 SGE 水平和细胞分化,以观察细胞行为是否符合当前的理论。我们鉴定了三种在原代红细胞祖细胞中调节 SGE 的药物。青蒿素和吲哚美辛均降低了 SGE 水平并减少了分化细胞的数量。相反,第三种名为 MB-3 的成分同时增加了 SGE 水平和分化细胞的数量。然后,我们使用了一种动态建模方法,该方法证实了药物处理确实会影响分化速度。通过单细胞分析和建模工具,我们提供了实验证据表明,在生理相关的细胞系统中,SGE 与分化有关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/95a3/6872177/0b31f52601a2/pone.0225166.g001.jpg

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