Molecular determinants and thermodynamics of the amyloid precursor protein transmembrane domain implicated in Alzheimer's disease.
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ABSTRACT: The deposition of toxic amyloid-? (A?) peptide aggregates in the brain is a hallmark of Alzheimer's disease. The intramembrane proteolysis by ?-secretase of the amyloid precursor protein ?-carboxy-terminal fragment (APP-?CTF) constitutes the final step in the production of A? peptides. Mounting evidence suggests that APP-?CTF is a transmembrane domain (TMD) dimer, and that dimerization might modulate the production of A? species that are prone to aggregation and are therefore most toxic. We combined experimental and computational approaches to study the molecular determinants and thermodynamics of APP-?CTF dimerization, and we produced a unifying structural model that reconciles much of the published data. Using a cell assay that exploits a dimerization-dependent activator of transcription, we identified specific dimerization-affecting mutations located mostly at the N-terminus of the TMD of APP-?CTF. The ability of selected mutants to affect the dimerization of full-length APP-?CTF was confirmed by fluorescence resonance energy transfer experiments. Free-energy estimates of the wild type and mutants of the TMD of APP-?CTF derived from enhanced molecular dynamics simulations showed that the dimeric state is composed of different arrangements, in which either (709)GXXXA(713) or (700)GXXXG(704)GXXXG(708) interaction motifs can engage in symmetric or asymmetric associations. Mutations along the TMD of APP-?CTF were found to modulate the relative free energy of the dimeric configurations and to differently affect the distribution of interfaces within the dimeric state. This observation might have important biological implications, since dimers with a different arrangement of the transmembrane helices are likely to be recognized differently by ?-secretase and to lead to a variation in A? levels.
SUBMITTER: Wang H
PROVIDER: S-EPMC3082318 | biostudies-literature | 2011 May
REPOSITORIES: biostudies-literature
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