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定位组学数据库:一个用于存储蛋白质应激依赖性亚细胞定位变化的数据库。

Localizatome: a database for stress-dependent subcellular localization changes in proteins.

作者信息

Matsushima Takahide, Naito Yuki, Chiba Tomoki, Kurimoto Ryota, Itano Keiko, Ochiai Koji, Takahashi Koichi, Goshima Naoki, Asahara Hiroshi

机构信息

Department of Systems BioMedicine, Graduate School of Medical and Dental Sciences, Institute of Science Tokyo, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan.

Department of Biomolecular Science and Engineering, SANKEN, Osaka University, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.

出版信息

Database (Oxford). 2025 Apr 21;2025. doi: 10.1093/database/baaf028.

Abstract

Understanding protein subcellular localization and its dynamic changes is crucial for elucidating cellular function and disease mechanisms, particularly under stress conditions, where protein localization changes can modulate cellular responses. Currently available databases provide insights into protein localization under steady-state conditions; however, stress-related dynamic localization changes remain poorly understood. Here, we present the Localizatome, a comprehensive database that captures stress-induced protein localization dynamics in living cells. Using an original high-throughput microscopy system and machine learning algorithms, we analysed the localization patterns of 10 287 fluorescent protein-fused human proteins in HeLa cells before and after exposure to oxidative stress. Our analysis revealed that 1910 proteins exhibited oxidative stress-dependent localization changes, particularly forming distinct foci. Among them, there were stress granule assembly factors and autophagy-related proteins, as well as components of various signalling pathways. Subsequent characterization identified some specific amino acid motifs and intrinsically disordered regions associated with stress-induced protein redistribution. The Localizatome provides open access to these data through a web-based interface, supporting a wide range of studies on cellular stress response and disease mechanisms. Database URL https://localizatome.embrys.jp/.

摘要

了解蛋白质的亚细胞定位及其动态变化对于阐明细胞功能和疾病机制至关重要,尤其是在应激条件下,蛋白质定位变化可调节细胞反应。目前可用的数据库提供了稳态条件下蛋白质定位的相关信息;然而,与应激相关的动态定位变化仍知之甚少。在此,我们展示了Localizatome,这是一个全面的数据库,可捕捉活细胞中应激诱导的蛋白质定位动态变化。我们使用原始的高通量显微镜系统和机器学习算法,分析了10287种荧光蛋白融合的人类蛋白质在HeLa细胞暴露于氧化应激前后的定位模式。我们的分析表明,1910种蛋白质表现出氧化应激依赖性定位变化,特别是形成了不同的聚集点。其中包括应激颗粒组装因子和自噬相关蛋白,以及各种信号通路的成分。随后的表征确定了一些与应激诱导的蛋白质重新分布相关的特定氨基酸基序和内在无序区域。Localizatome通过基于网络的界面提供对这些数据的开放访问,支持对细胞应激反应和疾病机制的广泛研究。数据库网址:https://localizatome.embrys.jp/

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2184/12010962/fa55b25eb4f1/baaf028f1.jpg

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