The dynamics of γ-secretase and its substrates

γ-Secretase is an intramembrane aspartyl-protease catalyzing the final step in the regulated intramembrane proteolysis of a large number of single-span type-1 transmembrane proteins. The most extensively studied substrates are the amyloid-β precursor protein (APP) and the NOTCH receptors. An importa...

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Veröffentlicht in:Seminars in cell & developmental biology 2020-09, Vol.105, p.86-101
Hauptverfasser: Hitzenberger, Manuel, Götz, Alexander, Menig, Simon, Brunschweiger, Barbara, Zacharias, Martin, Scharnagl, Christina
Format: Artikel
Sprache:eng
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Zusammenfassung:γ-Secretase is an intramembrane aspartyl-protease catalyzing the final step in the regulated intramembrane proteolysis of a large number of single-span type-1 transmembrane proteins. The most extensively studied substrates are the amyloid-β precursor protein (APP) and the NOTCH receptors. An important technique for the characterization of interactions and conformational changes enabling γ-secretase to perform hydrolysis within the confines of the membrane are molecular dynamics simulations on different time and length scales. Here, we review structural and dynamical features of γ−secretase and its substrates including flexibility descriptions from simulations and experiments. We address (1) conformational sampling of apo-enzyme and unbound substrates (exemplified for APP, NOTCH1 and the apparent non-substrate integrin β1), (2) substrate recruitment pathways, (3) conformational changes associated with the formation of the recognition complex, (4) cleavage-site unfolding upon interaction with the enzyme’s active site, (5) substrate processing after endoproteolysis, and (6) inhibition and modulation of γ-secretase. We conclude with still open questions and suggest further investigations in order to advance our understanding on how γ-secretase selects and processes substrates. This knowledge will improve the ability to better target substrates selectively for therapeutic applications.
ISSN:1084-9521
1096-3634
DOI:10.1016/j.semcdb.2020.04.008