相互作用体
互连性
计算生物学
生物
疾病
蛋白质-蛋白质相互作用
蛋白质聚集
功能(生物学)
鉴定(生物学)
淀粉样蛋白(真菌学)
神经科学
生物信息学
细胞生物学
遗传学
基因
医学
计算机科学
人工智能
病理
植物
作者
Christian Haenig,Nir Atias,Alexander K. Taylor,Arnon Mazza,Martin H. Schaefer,Jenny Russ,Sean‐Patrick Riechers,Shushant Jain,Maura Coughlin,Jean−Fred Fontaine,Brian D. Freibaum,Lydia Brusendorf,Martina Zenkner,Pablo Porras,Martin Stroedicke,Sigrid Schnoegl,Kristin Arnsburg,Annett Boeddrich,Lucia Pigazzini,Peter Heutink
出处
期刊:Cell Reports
[Cell Press]
日期:2020-08-01
卷期号:32 (7): 108050-108050
被引量:96
标识
DOI:10.1016/j.celrep.2020.108050
摘要
Interactome maps are valuable resources to elucidate protein function and disease mechanisms. Here, we report on an interactome map that focuses on neurodegenerative disease (ND), connects ∼5,000 human proteins via ∼30,000 candidate interactions and is generated by systematic yeast two-hybrid interaction screening of ∼500 ND-related proteins and integration of literature interactions. This network reveals interconnectivity across diseases and links many known ND-causing proteins, such as α-synuclein, TDP-43, and ATXN1, to a host of proteins previously unrelated to NDs. It facilitates the identification of interacting proteins that significantly influence mutant TDP-43 and HTT toxicity in transgenic flies, as well as of ARF-GEP100 that controls misfolding and aggregation of multiple ND-causing proteins in experimental model systems. Furthermore, it enables the prediction of ND-specific subnetworks and the identification of proteins, such as ATXN1 and MKL1, that are abnormally aggregated in postmortem brains of Alzheimer’s disease patients, suggesting widespread protein aggregation in NDs.
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