γ-secretase partitioning into lipid bilayers remodels membrane microdomains after direct insertion Journal Article


Authors: Barros, M.; Houlihan, W. J.; Paresi, C. J.; Brendel, M.; Rynearson, K. D.; Lee, C. W.; Prikhodko, O.; Cregger, C.; Chang, G.; Wagner, S. L.; Gilchrist, M. L.; Li, Y. M.
Article Title: γ-secretase partitioning into lipid bilayers remodels membrane microdomains after direct insertion
Abstract: 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 (Ld) 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 Lo 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.
Journal Title: Langmuir
Volume: 36
Issue: 23
ISSN: 0743-7463
Publisher: American Chemical Society  
Date Published: 2020-06-16
Start Page: 6569
End Page: 6579
Language: English
DOI: 10.1021/acs.langmuir.0c01178
PUBMED: 32432881
PROVIDER: scopus
PMCID: PMC7887708
DOI/URL:
Notes: Article -- Export Date: 1 July 2020 -- Source: Scopus
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  1. Yueming Li
    132 Li
  2. Chelsea Jordan Paresi
    3 Paresi
  3. Matthew Bryan Brendel
    10 Brendel