Hein Marco Y, Peng Duo, Todorova Verina, McCarthy Frank, Kim Kibeom, Liu Chad, Savy Laura, Januel Camille, Baltazar-Nunez Rodrigo, Sekhar Madhurya, Vaid Shivanshi, Bax Sophie, Vangipuram Madhuri, Burgess James, Njoya Leila, Wang Eileen, Ivanov Ivan E, Byrum Janie R, Pradeep Soorya, Gonzalez Carlos G, Aniseia Yttria, Creery Joseph S, McMorrow Aidan H, Sunshine Sara, Yeung-Levy Serena, DeFelice Brian C, Mehta Shalin B, Itzhak Daniel N, Elias Joshua E, Leonetti Manuel D
Chan Zuckerberg Biohub, San Francisco, CA, USA.
Chan Zuckerberg Biohub, San Francisco, CA, USA.
Cell. 2025 Feb 20;188(4):1137-1155.e20. doi: 10.1016/j.cell.2024.11.028. Epub 2024 Dec 31.
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.
确定所有人类蛋白质的亚细胞分布及其在不同细胞状态下的重塑,仍然是细胞生物学的核心目标。在此,我们提出了一种高分辨率策略,通过细胞器免疫捕获结合质谱来绘制亚细胞组织图谱。我们将此工作流程应用于全细胞范围的膜性和无膜区室。基于图的分析确定了7600多种蛋白质的亚细胞定位,定义了空间网络,并揭示了细胞区室之间的相互联系。我们的方法可用于全面分析细胞扰动期间的蛋白质组重塑。通过表征HCoV-OC43病毒感染后的细胞格局,我们发现许多蛋白质是由其空间分布的变化而非丰度的变化所调控。我们的结果表明,蛋白质组范围的亚细胞重塑分析为阐明细胞反应提供了关键见解,揭示了铁死亡在OC43感染中的重要作用。我们的数据集可在organelles.czbiohub.org上进行探索。