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Novel Polyglutamine Model Uncouples Proteotoxicity from Aging

Overview of attention for article published in PLOS ONE, May 2014
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Title
Novel Polyglutamine Model Uncouples Proteotoxicity from Aging
Published in
PLOS ONE, May 2014
DOI 10.1371/journal.pone.0096835
Pubmed ID
Authors

Nakeirah T. M. Christie, Amy L. Lee, Hannah G. Fay, Amelia A. Gray, Elise A. Kikis

Abstract

Polyglutamine expansions in certain proteins are the genetic determinants for nine distinct progressive neurodegenerative disorders and resultant age-related dementia. In these cases, neurodegeneration is due to the aggregation propensity and resultant toxic properties of the polyglutamine-containing proteins. We are interested in elucidating the underlying mechanisms of toxicity of the protein ataxin-3, in which a polyglutamine expansion is the genetic determinant for Machado-Joseph Disease (MJD), also referred to as spinocerebellar ataxia 3 (SCA3). To this end, we have developed a novel model for ataxin-3 protein aggregation, by expressing a disease-related polyglutamine-containing fragment of ataxin-3 in the genetically tractable body wall muscle cells of the model system C. elegans. Here, we demonstrate that this ataxin-3 fragment aggregates in a polyQ length-dependent manner in C. elegans muscle cells and that this aggregation is associated with cellular dysfunction. However, surprisingly, this aggregation and resultant toxicity was not influenced by aging. This is in contrast to polyglutamine peptides alone whose aggregation/toxicity is highly dependent on age. Thus, the data presented here not only describe a new polyglutamine model, but also suggest that protein context likely influences the cellular interactions of the polyglutamine-containing protein and thereby modulates its toxic properties.

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Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 29%
Researcher 9 18%
Student > Master 5 10%
Student > Bachelor 4 8%
Other 3 6%
Other 7 14%
Unknown 8 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 39%
Biochemistry, Genetics and Molecular Biology 13 25%
Neuroscience 2 4%
Medicine and Dentistry 2 4%
Immunology and Microbiology 1 2%
Other 5 10%
Unknown 8 16%