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      Dimeric Transmembrane Orientations of APP/C99 Regulate γ-Secretase Processing Line Impacting Signaling and Oligomerization

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          Summary

          Amyloid precursor protein (APP) cleavage by the β-secretase produces the C99 transmembrane (TM) protein, which contains three dimerization-inducing Gly-x-x-x-Gly motifs. We demonstrate that dimeric C99 TM orientations regulate the precise cleavage lines by γ-secretase. Of all possible dimeric orientations imposed by a coiled-coil to the C99 TM domain, the dimer containing the 33Gly-x-x-x-Gly 37 motif in the interface promoted the Aβ 42 processing line and APP intracellular domain-dependent gene transcription, including the induction of BACE1 mRNA, enhancing amyloidogenic processing and signaling. Another orientation exhibiting the 25Gly-x-x-x-Gly 29 motif in the interface favored processing to Aβ 43/40. It induced significantly less gene transcription, while promoting formation of SDS-resistant “Aβ-like” oligomers, reminiscent of Aβ peptide oligomers. These required both Val24 of a pro-β motif and the 25Gly-x-x-x-Gly 29 interface. Thus, crossing angles imposed by precise dimeric orientations control γ-secretase initial cleavage at Aβ 48 or Aβ 49, linking the former to enhanced signaling and Aβ 42 production.

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          Highlights

          • C99 dimeric transmembrane orientations regulate γ-secretase processing line

          • 42 production and signaling are linked to the 33Gly-x-x-x-Gly 37 interface

          • SDS-resistant oligomers require the 25Gly-x-x-x-Gly 29 interface and a pro-β motif

          • C99 dimeric orientations impact its localization and processing by PSEN1 or PSEN2

          Abstract

          Biological Sciences; Biochemistry; Molecular Biology; Neuroscience

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          Most cited references49

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          A requirement for the immediate early gene Zif268 in the expression of late LTP and long-term memories.

          The induction of long-term potentiation (LTP) in the dentate gyrus of the hippocampus is associated with a rapid and robust transcription of the immediate early gene Zif268. We used a mutant mouse with a targeted disruption of Zif268 to ask whether this gene, which encodes a zinc finger transcription factor, is required for the maintenance of late LTP and for the expression of long-term memory. We show that whereas mutant mice exhibit early LTP in the dentate gyrus, late LTP is absent when measured 24 and 48 hours after tetanus in the freely moving animal. In both spatial and non-spatial learning tasks, short-term memory remained intact, whereas performance was impaired in tests requiring long-term memory. Thus, Zif268 is essential for the transition from short- to long-term synaptic plasticity and for the expression of long-term memories.
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            Prediction of sequence-dependent and mutational effects on the aggregation of peptides and proteins.

            We have developed a statistical mechanics algorithm, TANGO, to predict protein aggregation. TANGO is based on the physico-chemical principles of beta-sheet formation, extended by the assumption that the core regions of an aggregate are fully buried. Our algorithm accurately predicts the aggregation of a data set of 179 peptides compiled from the literature as well as of a new set of 71 peptides derived from human disease-related proteins, including prion protein, lysozyme and beta2-microglobulin. TANGO also correctly predicts pathogenic as well as protective mutations of the Alzheimer beta-peptide, human lysozyme and transthyretin, and discriminates between beta-sheet propensity and aggregation. Our results confirm the model of intermolecular beta-sheet formation as a widespread underlying mechanism of protein aggregation. Furthermore, the algorithm opens the door to a fully automated, sequence-based design strategy to improve the aggregation properties of proteins of scientific or industrial interest.
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              Lysosomal proteolysis and autophagy require presenilin 1 and are disrupted by Alzheimer-related PS1 mutations.

              Macroautophagy is a lysosomal degradative pathway essential for neuron survival. Here, we show that macroautophagy requires the Alzheimer's disease (AD)-related protein presenilin-1 (PS1). In PS1 null blastocysts, neurons from mice hypomorphic for PS1 or conditionally depleted of PS1, substrate proteolysis and autophagosome clearance during macroautophagy are prevented as a result of a selective impairment of autolysosome acidification and cathepsin activation. These deficits are caused by failed PS1-dependent targeting of the v-ATPase V0a1 subunit to lysosomes. N-glycosylation of the V0a1 subunit, essential for its efficient ER-to-lysosome delivery, requires the selective binding of PS1 holoprotein to the unglycosylated subunit and the Sec61alpha/oligosaccharyltransferase complex. PS1 mutations causing early-onset AD produce a similar lysosomal/autophagy phenotype in fibroblasts from AD patients. PS1 is therefore essential for v-ATPase targeting to lysosomes, lysosome acidification, and proteolysis during autophagy. Defective lysosomal proteolysis represents a basis for pathogenic protein accumulations and neuronal cell death in AD and suggests previously unidentified therapeutic targets.
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                Author and article information

                Contributors
                Journal
                iScience
                iScience
                iScience
                Elsevier
                2589-0042
                02 December 2020
                18 December 2020
                02 December 2020
                : 23
                : 12
                : 101887
                Affiliations
                [1 ]Ludwig Cancer Research, Brussels 1200, Belgium
                [2 ]Welbio, SIGN Unit, de Duve Institute, UCLouvain, Brussels, 1200, Belgium
                [3 ]Institute of Neurosciences (IoNS), UCLouvain, Brussels 1200, Belgium
                [4 ]Department of Biochemistry and Cell Biology, Stony Brook University, Stony Brook, NY 11794-5215, USA
                [5 ]Mass Spectrometry Platform, de Duve Institute, UCLouvain, Brussels, 1200 Belgium
                Author notes
                [∗∗ ]Corresponding author Stefan.Constantinescu@ 123456bru.licr.org
                [6]

                Lead Contact

                Article
                S2589-0042(20)31084-1 101887
                10.1016/j.isci.2020.101887
                7749410
                33367225
                30e2f606-830b-40fb-abbc-19ec25187e03
                © 2020 The Author(s)

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 14 September 2020
                : 21 October 2020
                : 25 November 2020
                Categories
                Article

                biological sciences,biochemistry,molecular biology,neuroscience

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