Title |
Atypical parkinsonism–associated retromer mutant alters endosomal sorting of specific cargo proteins
|
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Published in |
Journal of Cell Biology, August 2016
|
DOI | 10.1083/jcb.201604057 |
Pubmed ID | |
Authors |
Kirsty J. McMillan, Matthew Gallon, Adam P. Jellett, Thomas Clairfeuille, Frances C. Tilley, Ian McGough, Chris M. Danson, Kate J. Heesom, Kevin A. Wilkinson, Brett M. Collins, Peter J. Cullen |
Abstract |
The retromer complex acts as a scaffold for endosomal protein complexes that sort integral membrane proteins to various cellular destinations. The retromer complex is a heterotrimer of VPS29, VPS35, and VPS26. Two of these paralogues, VPS26A and VPS26B, are expressed in humans. Retromer dysfunction is associated with neurodegenerative disease, and recently, three VPS26A mutations (p.K93E, p.M112V, and p.K297X) were discovered to be associated with atypical parkinsonism. Here, we apply quantitative proteomics to provide a detailed description of the retromer interactome. By establishing a comparative proteomic methodology, we identify how this interactome is perturbed in atypical parkinsonism-associated VPS26A mutants. In particular, we describe a selective defect in the association of VPS26A (p.K297X) with the SNX27 cargo adaptor. By showing how a retromer mutant leads to altered endosomal sorting of specific PDZ ligand-containing cargo proteins, we reveal a new mechanism for perturbed endosomal cargo sorting in atypical parkinsonism. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 3 | 60% |
United Kingdom | 2 | 40% |
Demographic breakdown
Type | Count | As % |
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Scientists | 4 | 80% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
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Netherlands | 1 | 2% |
Unknown | 61 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 13 | 21% |
Researcher | 13 | 21% |
Student > Bachelor | 7 | 11% |
Professor | 3 | 5% |
Student > Master | 3 | 5% |
Other | 7 | 11% |
Unknown | 16 | 26% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 22 | 35% |
Agricultural and Biological Sciences | 15 | 24% |
Neuroscience | 5 | 8% |
Computer Science | 1 | 2% |
Medicine and Dentistry | 1 | 2% |
Other | 1 | 2% |
Unknown | 17 | 27% |