Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada.
Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, Canada.
Cell. 2024 Mar 14;187(6):1490-1507.e21. doi: 10.1016/j.cell.2024.02.014. Epub 2024 Mar 6.
Cell cycle progression relies on coordinated changes in the composition and subcellular localization of the proteome. By applying two distinct convolutional neural networks on images of millions of live yeast cells, we resolved proteome-level dynamics in both concentration and localization during the cell cycle, with resolution of ∼20 subcellular localization classes. We show that a quarter of the proteome displays cell cycle periodicity, with proteins tending to be controlled either at the level of localization or concentration, but not both. Distinct levels of protein regulation are preferentially utilized for different aspects of the cell cycle, with changes in protein concentration being mostly involved in cell cycle control and changes in protein localization in the biophysical implementation of the cell cycle program. We present a resource for exploring global proteome dynamics during the cell cycle, which will aid in understanding a fundamental biological process at a systems level.
细胞周期的进行依赖于蛋白质组在组成和亚细胞定位上的协调变化。通过对数百万个活酵母细胞的图像应用两种不同的卷积神经网络,我们解析了细胞周期中蛋白质组在浓度和定位上的动态变化,分辨率达到约 20 种亚细胞定位类别。我们发现四分之一的蛋白质组显示出细胞周期周期性,蛋白质往往受到定位或浓度的控制,但不是两者同时受到控制。不同水平的蛋白质调控优先用于细胞周期的不同方面,蛋白质浓度的变化主要涉及细胞周期的控制,而蛋白质定位的变化则用于细胞周期程序的生物物理实现。我们提供了一个探索细胞周期中全局蛋白质组动态的资源,这将有助于从系统水平上理解这一基本的生物学过程。