相互作用体
磷蛋白
计算生物学
拟南芥
资源(消歧)
蛋白质-蛋白质相互作用
生物
磷酸化
计算机科学
基因
细胞生物学
遗传学
计算机网络
突变体
作者
Shuai Zheng,Leonard Blaschek,Delphine Pottier,Luuk Robin Hoegen Dijkhof,Beyza Özmen,Peng Ken Lim,Qiao Wen Tan,Marek Mutwil,Alexander S. Hauser,Staffan Persson
标识
DOI:10.1002/advs.202414496
摘要
Target of rapamycin (TOR) is a signaling hub that integrates developmental, hormonal, and environmental signals to optimize carbon allocation and plant growth. In plant cells, TOR acts together with the proteins LST8-1 and RAPTOR1 to form a core TOR complex (TORC). While these proteins comprise a functional TORC, they engage with many other proteins to ensure precise signal outputs. Although TORC interactions have attracted significant attention in the recent past, large parts of the interactome are still unknown. In this resource study, PUP-IT is adapted, a fully endogenously expressed protein proximity labeling toolbox, to map TORC protein-protein interactions using the core set of TORC as baits. It is outlined how this interactome is differentially phosphorylated during changes in carbon availability, uncovering putative direct TOR kinase targets. An AlphaFold-Multimer approach is further used to validate many interactors, thus outlining a comprehensive TORC interactome that includes over a hundred new candidate interactors and provides an invaluable resource to the plant cell signaling community.
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