生物
蛋白质亚细胞定位预测
舱室(船)
蛋白质组
亚细胞定位
细胞周期蛋白
细胞生物学
计算生物学
细胞周期
蛋白质组学
细胞
生物信息学
遗传学
细胞质
基因
海洋学
地质学
作者
Athanasios Litsios,Benjamin Thomas Grys,Oren Kraus,Helena Friesen,Catherine Ross,Myra Paz David Masinas,Duncan T. Forster,Mary Couvillion,Stefanie Timmermann,Maximilian Billmann,Chad L. Myers,Nils Johnsson,L. Stirling Churchman,Charles Boone,Brenda Andrews
出处
期刊:Cell
[Elsevier]
日期:2024-03-01
卷期号:187 (6): 1490-1507.e21
被引量:1
标识
DOI:10.1016/j.cell.2024.02.014
摘要
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.
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