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Disease Models & Mechanisms
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Disease Models & Mechanisms
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Disease Models & Mechanisms
Article . 2013
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A yeast model for amyloid-β aggregation exemplifies the role of membrane trafficking and PICALM in cytotoxicity

Authors: Christelle Marchal; Christophe Cullin; Anne Devin; Bénédicte Salin; Hélène Vignaud; Julie Di Martino; Fabien D’Angelo;

A yeast model for amyloid-β aggregation exemplifies the role of membrane trafficking and PICALM in cytotoxicity

Abstract

Summary Alzheimer's disease is the most common neurodegenerative disease, associated with aggregation of amyloid-β (Aβ) peptides. The exact mechanism of neuronal cell dysfunction in Alzheimer's disease is poorly understood and numerous models have been used to decipher the mechanisms leading to cellular death. Yeast cells might be a good model to understand the intracellular toxicity triggered by Aβ peptides. Indeed, yeast has been used as a model to examine protein functions or cellular pathways that mediate the secretion, aggregation and subsequent toxicity of proteins associated with human neurodegenerative disorders. In the present study, we use the yeast Saccharomyces cerevisiae as a model system to study the effects of intracellular Aβ in fusion with green fluorescent protein. We sent this fusion protein into the secretory pathway and showed that intracellular traffic pathways are necessary for the generation of toxic species. Yeast PICALM orthologs are involved in cellular toxicity, indicating conservation of the mechanisms of toxicity from mammals to yeast. Finally, our model demonstrates the capacity for intracellular Aβ to cross intracellular membranes and target mitochondrial organelles.

Keywords

Amyloid beta-Peptides, Saccharomyces cerevisiae Proteins, Recombinant Fusion Proteins, Green Fluorescent Proteins, Models, Neurological, R, Biological Transport, Active, Saccharomyces cerevisiae, Models, Biological, Endocytosis, Oxygen Consumption, Alzheimer Disease, Monomeric Clathrin Assembly Proteins, Pathology, Medicine, RB1-214, Humans, Protein Multimerization, Protein Processing, Post-Translational, Heat-Shock Proteins, Research Article

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    65
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
65
Top 10%
Top 10%
Top 10%
Green
gold