Interplay between the amyloid precursor protein (APP) and α-secretases at the plasma membrane
Interplay between the amyloid precursor protein (APP) and α-secretases at the plasma membrane
dc.contributor.advisor | Lang, Thorsten | |
dc.contributor.author | Hitschler, Lisa | |
dc.date.accessioned | 2022-04-21T14:15:55Z | |
dc.date.available | 2022-04-21T14:15:55Z | |
dc.date.issued | 21.04.2022 | |
dc.identifier.uri | https://hdl.handle.net/20.500.11811/9760 | |
dc.description.abstract | Alzheimer’s disease (AD) is the most common form of dementia. A principle pathological feature of AD are senile plaques consisting of extracellular aggregations of amyloid β peptides (Aβ). Aβ is derived from the amyloid precursor protein (APP) that forms tight clusters composed of 20 – 30 molecules in the plasma membrane. In the amyloidogenic cleavage pathway, Aβ is generated by sequential cleavages, involving first a β-secretase followed by a ỿ-secretase complex.
On the other hand, Aβ is precluded upon APP cleavage at the cell surface by α-secretases. Yet, it is unkown what are the limiting factors in α-processing. Enhancement of α-secretase activity may be possible by either increasing the accessibility of the substrate, presumably limited through APP clustering, or after having gained a deeper understanding of the substrate-secretase interaction. These strategies could be the basis for therapeutic approaches to reduce Aβ generation and as a result treat the progression of Alzheimer’s disease. We tested the hypothesis that pathogenic mutants are more prone to β-secretase cleavage because they are more tightly clustered and therefore less accessible to α-secretases. For clarification, epifluorescence microscopy and fluorescence recovery after photobleaching (FRAP) were utilized to examine the clustering degree and mobility of familial APP mutants. However, APP mutants behaved similarly as wild-type APP. Next, we studied the proximity and physical interaction of APP and the α-secretases ADAM10 and ADAM17. Although ADAM10 is the predominant constitutive α-secretase, both secretases were found to be organized in individual nanodomains and located with equal frequency closer than 50 nm to their substrate APP. However, antibody-induced cross-linking of APP in the native membrane revealed a physical interaction of APP with ADAM10 but not with ADAM17, which might indicate a higher binding affinity of ADAM10 explaining its predominant role. More specifically, the transmembrane domain of APP was required for the physical interaction as well as for α-processing. The interaction with α-secretases was not enhanced when utilizing phorbol esters for stimulation of α-cleavage. The secretase interaction was also not altered with APP mutants carrying familial mutations in the Aβ region. In conclusion, the substrate APP and the α-secretases ADAM10 and ADAM17 are organized in nanodomains close to each other. The here identified physical link between APP and ADAM10 might explain its predominat role as α-secretase. These results contribute to a more detailed understanding of the APP-enzyme interaction. Further research on the identification of parameters regulating this interaction could be beneficial in the future for therapeutic approaches to stimulate APP processing by α-secretases and as a result decrease Aβ generation. | en |
dc.language.iso | eng | |
dc.rights | In Copyright | |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | Alzheimer’s disease | |
dc.subject | amyloid precursor protein | |
dc.subject | ADAM10 | |
dc.subject | ADAM17 | |
dc.subject | secretases | |
dc.subject | protein-protein interactions | |
dc.subject | membrane proteins | |
dc.subject | super-resolution imaging | |
dc.subject.ddc | 570 Biowissenschaften, Biologie | |
dc.title | Interplay between the amyloid precursor protein (APP) and α-secretases at the plasma membrane | |
dc.type | Dissertation oder Habilitation | |
dc.publisher.name | Universitäts- und Landesbibliothek Bonn | |
dc.publisher.location | Bonn | |
dc.rights.accessRights | openAccess | |
dc.identifier.urn | https://nbn-resolving.org/urn:nbn:de:hbz:5-66110 | |
dc.relation.doi | https://doi.org/10.1016/j.jbc.2022.101911 | |
ulbbn.pubtype | Erstveröffentlichung | |
ulbbnediss.affiliation.name | Rheinische Friedrich-Wilhelms-Universität Bonn | |
ulbbnediss.affiliation.location | Bonn | |
ulbbnediss.thesis.level | Dissertation | |
ulbbnediss.dissID | 6611 | |
ulbbnediss.date.accepted | 07.04.2022 | |
ulbbnediss.institute | Mathematisch-Naturwissenschaftliche Fakultät : Fachgruppe Molekulare Biomedizin / Life & Medical Sciences-Institut (LIMES) | |
ulbbnediss.fakultaet | Mathematisch-Naturwissenschaftliche Fakultät | |
dc.contributor.coReferee | Walter, Jochen | |
ulbbnediss.contributor.gnd | 1268221244 |
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