Center for Quantitative Biology, Peking University, Beijing, China.
State Key Laboratory of Nuclear Physics and Technology, School of Physics, Peking University, Beijing, China.
PLoS Comput Biol. 2021 Nov 19;17(11):e1009605. doi: 10.1371/journal.pcbi.1009605. eCollection 2021 Nov.
The collective behavior of the nuclear array in Drosophila embryos during nuclear cycle (NC) 11 to NC14 is crucial in controlling cell size, establishing developmental patterns, and coordinating morphogenesis. After live imaging on Drosophila embryos with light sheet microscopy, we extract the nuclear trajectory, speed, and internuclear distance with an automatic nuclear tracing method. We find that the nuclear speed shows a period of standing waves along the anterior-posterior (AP) axis after each metaphase as the nuclei collectively migrate towards the embryo poles and partially move back. And the maximum nuclear speed dampens by 28-45% in the second half of the standing wave. Moreover, the nuclear density is 22-42% lower in the pole region than the middle of the embryo during the interphase of NC12-14. To find mechanical rules controlling the collective motion and packing patterns of the nuclear array, we use a deep neural network (DNN) to learn the underlying force field from data. We apply the learned spatiotemporal attractive force field in the simulations with a particle-based model. And the simulations recapitulate nearly all the observed characteristic collective behaviors of nuclear arrays in Drosophila embryos.
在果蝇胚胎的核周期(NC)11 到 NC14 期间,核阵列的集体行为对于控制细胞大小、建立发育模式和协调形态发生至关重要。在使用光片显微镜对果蝇胚胎进行活体成像后,我们使用自动核跟踪方法提取核轨迹、速度和核间距离。我们发现,在每个中期之后,核速度沿着前后(AP)轴呈现出一段驻波,此时核集体向胚胎极迁移,并部分返回。并且,在驻波的后半部分,核速度的最大值降低了 28-45%。此外,在 NC12-14 的间期,极区的核密度比胚胎中部低 22-42%。为了找到控制核阵列集体运动和包装模式的力学规律,我们使用深度神经网络(DNN)从数据中学习潜在的力场。我们将学习到的时空吸引力场应用于基于粒子的模型的模拟中。并且,模拟几乎重现了果蝇胚胎中核阵列所有观察到的特征集体行为。