Computational Science for Health and Environment, Centre for Environmental and Climate Science, Lund University, Lund, Sweden.
Division of Biology and Biological Engineering, 156-29, California Institute of Technology, Pasadena, CA, 91125, USA.
NPJ Syst Biol Appl. 2024 Apr 17;10(1):40. doi: 10.1038/s41540-024-00368-y.
T-cell development provides an excellent model system for studying lineage commitment from a multipotent progenitor. The intrathymic development process has been thoroughly studied. The molecular circuitry controlling it has been dissected and the necessary steps like programmed shut off of progenitor genes and T-cell genes upregulation have been revealed. However, the exact timing between decision-making and commitment stage remains unexplored. To this end, we implemented an agent-based multi-scale model to investigate inheritance in early T-cell development. Treating each cell as an agent provides a powerful tool as it tracks each individual cell of a simulated T-cell colony, enabling the construction of lineage trees. Based on the lineage trees, we introduce the concept of the last common ancestors (LCA) of committed cells and analyse their relations, both at single-cell level and population level. In addition to simulating wild-type development, we also conduct knockdown analysis. Our simulations predicted that the commitment is a three-step process that occurs on average over several cell generations once a cell is first prepared by a transcriptional switch. This is followed by the loss of the Bcl11b-opposing function approximately two to three generations later. This is when our LCA analysis indicates that the decision to commit is taken even though in general another one to two generations elapse before the cell actually becomes committed by transitioning to the DN2b state. Our results showed that there is decision inheritance in the commitment mechanism.
T 细胞发育为研究多能祖细胞向谱系定向提供了一个极好的模型系统。胸腺内的发育过程已被深入研究。控制它的分子电路已经被剖析,并且已经揭示了必要的步骤,如祖细胞基因的程序性关闭和 T 细胞基因的上调。然而,决策和定向阶段之间的确切时间仍然未知。为此,我们实施了基于代理的多尺度模型来研究早期 T 细胞发育中的遗传。将每个细胞视为一个代理提供了一个强大的工具,因为它可以跟踪模拟 T 细胞集落中的每个单个细胞,从而构建谱系树。基于谱系树,我们引入了定向细胞的最后共同祖先(LCA)的概念,并分析了它们在单细胞水平和群体水平上的关系。除了模拟野生型发育外,我们还进行了敲低分析。我们的模拟预测,定向是一个三步骤的过程,一旦细胞通过转录开关首次准备好,就会在几个细胞世代中平均发生。接下来大约两到三代后,会失去 Bcl11b 拮抗作用。此时,我们的 LCA 分析表明,即使在细胞通过过渡到 DN2b 状态实际定向之前,通常还会再经过一到两代,定向的决定才会做出。我们的结果表明,在定向机制中存在决策遗传。