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

• DOI: 10.1093/database/baaf028
• Publication Date: 2025-04-21T15:50:58Z
• Authors: Takahide Matsushima; Yuki Naito; Tomoki Chiba; Ryota Kurimoto; Keiko Itano; Koji Ochiai; Koichi Takahashi; Naoki Goshima; Hiroshi Asahara

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