Cosette Jérémie, Moussy Alice, Onodi Fanny, Auffret-Cariou Adrien, Neildez-Nguyen Thi My Anh, Paldi Andras, Stockholm Daniel
Genethon, 1bis rue de l'Internationale, 91000 Evry, France.
Ecole Pratique des Hautes Etudes, Paris, France.
Sci Rep. 2015 Dec 9;5:17756. doi: 10.1038/srep17756.
Cell fate choice during the process of differentiation may obey to deterministic or stochastic rules. In order to discriminate between these two strategies we used time-lapse microscopy of individual murine CD4 + T cells that allows investigating the dynamics of proliferation and fate commitment. We observed highly heterogeneous division and death rates between individual clones resulting in a Pareto-like dominance of a few clones at the end of the experiment. Commitment to the Treg fate was monitored using the expression of a GFP reporter gene under the control of the endogenous Foxp3 promoter. All possible combinations of proliferation and differentiation were observed and resulted in exclusively GFP-, GFP+ or mixed phenotype clones of very different population sizes. We simulated the process of proliferation and differentiation using a simple mathematical model of stochastic decision-making based on the experimentally observed parameters. The simulations show that a stochastic scenario is fully compatible with the observed Pareto-like imbalance in the final population.
在分化过程中细胞命运的选择可能遵循确定性或随机性规则。为了区分这两种策略,我们对单个小鼠CD4 + T细胞进行了延时显微镜观察,这使得我们能够研究增殖和命运决定的动态过程。我们观察到各个克隆之间的分裂和死亡率高度异质,导致在实验结束时少数克隆呈现出类似帕累托分布的优势。使用在内源性Foxp3启动子控制下的GFP报告基因的表达来监测向调节性T细胞(Treg)命运的转变。观察到了增殖和分化的所有可能组合,结果产生了种群大小差异很大的纯GFP阴性、GFP阳性或混合表型克隆。我们基于实验观察到的参数,使用一个简单的随机决策数学模型模拟了增殖和分化过程。模拟结果表明,随机情况与最终种群中观察到的类似帕累托分布的不平衡完全相符。