Barros Marilia, Houlihan William J, Paresi Chelsea J, Brendel Matthew, Rynearson Kevin D, Lee Chang-Wook, Prikhodko Olga, Cregger Cristina, Chang Geoffrey, Wagner Steven L, Gilchrist M Lane, Li Yue-Ming
Chemical Biology Program, Memorial Sloan-Kettering Cancer Center, New York, New York 10065, United States.
Department of Chemical Engineering and the Department of Biomedical Engineering, The City College of the City University of New York, New York, New York 10031, United States.
Langmuir. 2020 Jun 16;36(23):6569-6579. doi: 10.1021/acs.langmuir.0c01178. Epub 2020 Jun 4.
γ-Secretase is a multisubunit complex that catalyzes intramembranous cleavage of transmembrane proteins. The lipid environment forms membrane microdomains that serve as spatio-temporal platforms for proteins to function properly. Despite substantial advances in the regulation of γ-secretase, the effect of the local membrane lipid microenvironment on the regulation of γ-secretase is poorly understood. Here, we characterized and quantified the partitioning of γ-secretase and its substrates, the amyloid precursor protein (APP) and Notch, into lipid bilayers using solid-supported model membranes. Notch substrate is preferentially localized in the liquid-disordered (L) lipid domains, whereas APP and γ-secretase partition as single or higher complex in both phases but highly favor the ordered phase, especially after recruiting lipids from the ordered phase, indicating that the activity and specificity of γ-secretase against these two substrates are modulated by membrane lateral organization. Moreover, time-elapse measurements reveal that γ-secretase can recruit specific membrane components from the cholesterol-rich L phase and thus creates a favorable lipid environment for substrate recognition and therefore activity. This work offers insight into how γ-secretase and lipid modulate each other and control its activity and specificity.
γ-分泌酶是一种多亚基复合物,可催化跨膜蛋白的膜内裂解。脂质环境形成膜微区,作为蛋白质正常发挥功能的时空平台。尽管在γ-分泌酶的调控方面取得了重大进展,但局部膜脂质微环境对γ-分泌酶调控的影响仍知之甚少。在这里,我们使用固体支持的模型膜对γ-分泌酶及其底物淀粉样前体蛋白(APP)和Notch在脂质双层中的分配进行了表征和定量。Notch底物优先定位于液相无序(L)脂质域,而APP和γ-分泌酶在两个相中均以单一或更高复合物形式分配,但高度倾向于有序相,尤其是在从有序相募集脂质后,这表明γ-分泌酶对这两种底物的活性和特异性受膜侧向组织的调节。此外,时间推移测量表明,γ-分泌酶可以从富含胆固醇的L相中募集特定的膜成分,从而为底物识别和活性创造有利的脂质环境。这项工作深入了解了γ-分泌酶和脂质如何相互调节并控制其活性和特异性。