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Regulation of LRRK2 Stability by the E3 Ubiquitin Ligase CHIP

Overview of attention for article published in PLOS ONE, June 2009
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Title
Regulation of LRRK2 Stability by the E3 Ubiquitin Ligase CHIP
Published in
PLOS ONE, June 2009
DOI 10.1371/journal.pone.0005949
Pubmed ID
Authors

Xiaodong Ding, Matthew S. Goldberg

Abstract

Dominantly inherited mutations in the leucine-rich repeat kinase 2 gene (LRRK2) are the most common cause of familial Parkinson's disease (PD) and have also been identified in individuals with sporadic PD. Although the exact cellular function of LRRK2 remains unknown, most PD-linked mutations appear to be toxic to cells in culture via mechanisms that depend on the kinase activity of LRRK2 or on the formation of cytoplasmic inclusions. Here we show that the E3 ubiquitin ligase CHIP physically associates with LRRK2 and regulates the cellular abundance of LRRK2. We further show that LRRK2 forms a complex with overexpressed and endogenous CHIP and Hsp90. Our data indicates that the destabilization of LRRK2 by CHIP is due to ubiquitination and proteasome-dependent degradation. Hsp90 can attenuate CHIP-mediated degradation and this can be blocked by the Hsp90 inhibitor geldanamycin. These findings provide important insight into the cellular regulation of LRRK2 stability and may lead to the development of therapeutics to treat PD based on controlling LRRK2 stability.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
United Kingdom 1 1%
India 1 1%
Unknown 72 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 29%
Student > Ph. D. Student 20 26%
Student > Master 7 9%
Student > Doctoral Student 5 7%
Student > Bachelor 3 4%
Other 11 14%
Unknown 8 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 29 38%
Biochemistry, Genetics and Molecular Biology 13 17%
Medicine and Dentistry 11 14%
Neuroscience 8 11%
Chemistry 2 3%
Other 3 4%
Unknown 10 13%