EndoMAP.v1 charts the structural landscape of human early endosome complexes

• 成果类型: Article
• 署名作者: Gonzalez-Lozano, Miguel A.; Schmid, Ernst W.; Whelan, Enya Miguel; Jiang, Yizhi; Paulo, Joao A.; Walter, Johannes C.; Harper, J. Wade
• 署名单位: Harvard University; Harvard Medical School; Harvard University; Harvard Medical School; Harvard University; Harvard Medical School; Howard Hughes Medical Institute
• 刊物名称: Nature
• ISSN/ISSBN: 0028-1421
• DOI: 10.1038/s41586-025-09059-y
• 发表日期: 2025-07-03
• 关键词: mass-spectrometry; protein-phosphorylation; multiprotein complex; membrane; identification; transport; rab5; mechanism; retromer; effector

摘要

Early or sorting endosomes are dynamic organelles that play key roles in proteome control by triaging plasma membrane proteins for either recycling or degradation in the lysosome1,2. These events are coordinated by numerous transiently associated regulatory complexes and integral membrane components that contribute to organelle identity during endosome maturation3. Although a subset of the several hundred protein components and cargoes known to associate with endosomes have been studied at the biochemical and/or structural level, interaction partners and higher-order molecular assemblies for many endosomal components remain unknown. Here, we combine crosslinking and native gel mass spectrometry4, 5, 6-7 of purified early endosomes with AlphaFold8,9 and computational analysis to create a systematic human endosomal structural interactome. We present 229 structural models for endosomal protein pairs and additional higher-order assemblies supported by experimental crosslinks from their native subcellular context, suggesting structural mechanisms for previously reported regulatory processes. Using induced neurons, we validate two candidate complexes whose interactions are supported by crosslinks and structural predictions: TMEM230 as a subunit of ATP8 and ATP11 lipid flippases10 and TMEM9 and TMEM9B as subunits of the chloride-proton antiporters CLCN3, CLCN4 and CLCN5 (ref. 11). This resource and its accompanying structural network viewer provide an experimental framework for understanding organellar structural interactomes and large-scale validation of structural predictions.