Neurodegeneration in SCA14 is associated with increased PKCγ kinase activity, mislocalization and aggregation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Maggie M. K. Wong, Stephanie D. Hoekstra, Jane Vowles, Lauren M. Watson, Geraint Fuller, Andrea H. Németh, Sally A. Cowley, Olaf Ansorge, Kevin Talbot, Esther B. E. Becker

ABSTRACT

Spinocerebellar ataxia type 14 (SCA14) is a subtype of the autosomal dominant cerebellar ataxias that is characterized by slowly progressive cerebellar dysfunction and neurodegeneration. SCA14 is caused by mutations in the PRKCG gene, encoding protein kinase C gamma (PKCγ). Despite the identification of 40 distinct disease-causing mutations in PRKCG, the pathological mechanisms underlying SCA14 remain poorly understood. Here we report the molecular neuropathology of SCA14 in post-mortem cerebellum and in human patient-derived induced pluripotent stem cells (iPSCs) carrying two distinct SCA14 mutations in the C1 domain of PKCγ, H36R and H101Q. We show that endogenous expression of these mutations results in the cytoplasmic mislocalization and aggregation of PKCγ in both patient iPSCs and cerebellum. PKCγ aggregates were not efficiently targeted for degradation. Moreover, mutant PKCγ was found to be hyper-activated, resulting in increased substrate phosphorylation. Together, our findings demonstrate that a combination of both, loss-of-function and gain-of-function mechanisms are likely to underlie the pathogenesis of SCA14, caused by mutations in the C1 domain of PKCγ. Importantly, SCA14 patient iPSCs were found to accurately recapitulate pathological features observed in post-mortem SCA14 cerebellum, underscoring their potential as relevant disease models and their promise as future drug discovery tools. More... »

PAGES

99

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s40478-018-0600-7

DOI

http://dx.doi.org/10.1186/s40478-018-0600-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107210260

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30249303


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