Atwell Kathryn, Qin Zhao, Gavaghan David, Kugler Hillel, Hubbard E Jane Albert, Osborne James M
Computational Biology Group, Department of Computer Science, University of Oxford, Oxford OX1 3QD, UK Biological Computation Group, Computational Science Laboratory, Microsoft Research Cambridge, Cambridge CB1 2FB, UK.
Skirball Institute of Biomolecular Medicine, Department of Cell Biology and Kimmel Center for Stem Cell Biology, New York University School of Medicine, New York, NY 10016, USA.
Development. 2015 Nov 15;142(22):3902-11. doi: 10.1242/dev.126359. Epub 2015 Oct 1.
The Caenorhabditis elegans germ line is an outstanding model system in which to study the control of cell division and differentiation. Although many of the molecules that regulate germ cell proliferation and fate decisions have been identified, how these signals interact with cellular dynamics and physical forces within the gonad remains poorly understood. We therefore developed a dynamic, 3D in silico model of the C. elegans germ line, incorporating both the mechanical interactions between cells and the decision-making processes within cells. Our model successfully reproduces key features of the germ line during development and adulthood, including a reasonable ovulation rate, correct sperm count, and appropriate organization of the germ line into stably maintained zones. The model highlights a previously overlooked way in which germ cell pressure may influence gonadogenesis, and also predicts that adult germ cells might be subject to mechanical feedback on the cell cycle akin to contact inhibition. We provide experimental data consistent with the latter hypothesis. Finally, we present cell trajectories and ancestry recorded over the course of a simulation. The novel approaches and software described here link mechanics and cellular decision-making, and are applicable to modeling other developmental and stem cell systems.
秀丽隐杆线虫的生殖系是研究细胞分裂和分化控制的杰出模型系统。尽管已经鉴定出许多调节生殖细胞增殖和命运决定的分子,但这些信号如何与性腺内的细胞动力学和物理力相互作用仍知之甚少。因此,我们开发了一种动态的、三维的秀丽隐杆线虫生殖系计算机模拟模型,该模型整合了细胞间的机械相互作用和细胞内的决策过程。我们的模型成功再现了发育和成年期生殖系的关键特征,包括合理的排卵率、正确的精子数量,以及生殖系稳定维持区域的适当组织。该模型突出了一种以前被忽视的生殖细胞压力可能影响性腺发生的方式,还预测成年生殖细胞可能会受到类似于接触抑制的细胞周期机械反馈。我们提供了与后一种假设一致的实验数据。最后,我们展示了模拟过程中记录的细胞轨迹和谱系。本文所述的新方法和软件将力学与细胞决策联系起来,适用于其他发育和干细胞系统的建模。