生物
细胞器
蛋白质组
仿形(计算机编程)
亚细胞定位
细胞生物学
计算生物学
蛋白质组学
蛋白质亚细胞定位预测
生物信息学
遗传学
细胞质
基因
计算机科学
操作系统
作者
Marco Y. Hein,Duo Peng,Verina Todorova,Frank McCarthy,Kibeom Kim,Chad Liu,Laura Savy,Camille Januel,Rodrigo Baltazar-Nunez,Sonal Sekhar Miraj,Shivanshi Vaid,Sophie Bax,Madhuri Vangipuram,James Burgess,Leila Njoya,Eileen Wang,Ivan E. Ivanov,Janie R. Byrum,Soorya Pradeep,Carlos G. Gonzalez
出处
期刊:Cell
[Cell Press]
日期:2024-12-01
被引量:1
标识
DOI:10.1016/j.cell.2024.11.028
摘要
Defining the subcellular distribution of all human proteins and their remodeling across cellular states remains a central goal in cell biology. Here, we present a high-resolution strategy to map subcellular organization using organelle immunocapture coupled to mass spectrometry. We apply this workflow to a cell-wide collection of membranous and membraneless compartments. A graph-based analysis assigns the subcellular localization of over 7,600 proteins, defines spatial networks, and uncovers interconnections between cellular compartments. Our approach can be deployed to comprehensively profile proteome remodeling during cellular perturbation. By characterizing the cellular landscape following HCoV-OC43 viral infection, we discover that many proteins are regulated by changes in their spatial distribution rather than by changes in abundance. Our results establish that proteome-wide analysis of subcellular remodeling provides key insights for elucidating cellular responses, uncovering an essential role for ferroptosis in OC43 infection. Our dataset can be explored at organelles.czbiohub.org.
科研通智能强力驱动
Strongly Powered by AbleSci AI