Visualizing protein-protein interactions in plants by rapamycin-dependent delocalization

被引:23
|
作者
Winkler, Joanna [1 ,2 ]
Mylle, Evelien [1 ,2 ]
De Meyer, Andreas [1 ,2 ]
Pavie, Benjamin [3 ]
Merchie, Julie [1 ,2 ]
Grones, Peter [1 ,2 ]
Van Damme, Dani L. [1 ,2 ]
机构
[1] Univ Ghent, Dept Plant Biotechnol & Bioinformat, Technol Pk 71, B-9052 Ghent, Belgium
[2] VIB Ctr Plant Syst Biol, Technol Pk 71, B-9052 Ghent, Belgium
[3] VIB BioImaging Core, Technol Pk 71, B-9052 Ghent, Belgium
基金
美国国家科学基金会; 欧洲研究理事会;
关键词
LIVING CELLS; ARABIDOPSIS; SYSTEM; GROWTH; TRANSLOCATION; ESTABLISHMENT; REVEALS; VECTORS; LOCALIZATION; CYTOKINESIS;
D O I
10.1093/plcell/koab004
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Identifying protein-protein interactions (PPIs) is crucial for understanding biological processes. Many PPI tools are available, yet only some function within the context of a plant cell. Narrowing down even further, only a few tools allow complex multi-protein interactions to be visualized. Here, we present a conditional in vivo PPI tool for plant research that meets these criteria. Knocksideways in plants (KSP) is based on the ability of rapamycin to alter the localization of a bait protein and its interactors via the heterodimerization of FKBP and FRB domains. KSP is inherently free from many limitations of other PPI systems. This in vivo tool does not require spatial proximity of the bait and prey fluorophores and it is compatible with a broad range of fluorophores. KSP is also a conditional tool and therefore the visualization of the proteins in the absence of rapamycin acts as an internal control. We used KSP to confirm previously identified interactions in Nicotiana benthamiana leaf epidermal cells. Furthermore, the scripts that we generated allow the interactions to be quantified at high throughput. Finally, we demonstrate that KSP can easily be used to visualize complex multi-protein interactions. KSP is therefore a versatile tool with unique characteristics and applications that complements other plant PPI methods.
引用
收藏
页码:1101 / 1117
页数:17
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