Coalescent models for developmental biology and the spatio-temporal dynamics of growing tissues.
Coalescent models for developmental biology and the spatio-temporal dynamics of growing tissues.
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发育生物学的合并模型和生长组织的时空动力学。
DOI：
10.1098/rsif.2016.0112
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发表时间：
2016-04
期刊：
影响因子：
--
通讯作者：
Stumpf MP
中科院分区：
文献类型：
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作者：
Smadbeck P;Stumpf MP
发展是一个需要在空间和时间上紧密协调的过程。细胞追踪和谱系追踪已经成为发育生物学中重要的实验技术，并使我们能够绘制细胞及其后代的命运。这些分析揭示了发育和稳态组织的一个普遍特征，即相对较少的细胞产生组织中的大部分细胞;大多数细胞的谱系很快结束。作为回应，计算和理论生物学家/物理学家开发了一系列建模方法，最显着的是基于代理的建模。这些模型似乎捕捉到了实验中观察到的特征，但也可能变得计算昂贵。在这里，我们开发了组织发育的互补谱系模型，该模型将组织中细胞的祖先追溯到它们最近的共同祖先。我们表明，有界和无界的增长简单，但普遍的尺度关系，使我们能够连接聚结理论与分形生长模型广泛用于发育生物学。使用我们的谱系学观点，有可能研究产生细胞组织的过程的大量统计特性，而不需要大规模的模拟。
Development is a process that needs to be tightly coordinated in both space and time. Cell tracking and lineage tracing have become important experimental techniques in developmental biology and allow us to map the fate of cells and their progeny. A generic feature of developing and homeostatic tissues that these analyses have revealed is that relatively few cells give rise to the bulk of the cells in a tissue; the lineages of most cells come to an end quickly. Computational and theoretical biologists/physicists have, in response, developed a range of modelling approaches, most notably agent-based modelling. These models seem to capture features observed in experiments, but can also become computationally expensive. Here, we develop complementary genealogical models of tissue development that trace the ancestry of cells in a tissue back to their most recent common ancestors. We show that with both bounded and unbounded growth simple, but universal scaling relationships allow us to connect coalescent theory with the fractal growth models extensively used in developmental biology. Using our genealogical perspective, it is possible to study bulk statistical properties of the processes that give rise to tissues of cells, without the need for large-scale simulations.