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RedOx regulation of LRRK2 kinase activity by active site cysteines

Mutations of the human leucine-rich repeat kinase 2 (LRRK2) have been associated with both, idiopathic and familial Parkinson’s disease (PD). Most of these pathogenic mutations are located in the kinase domain (KD) or GTPase domain of LRRK2. In this study we describe a mechanism in which protein kinase activity can be modulated by reversible oxidation or reduction, involving a unique pair of adjacent cysteines, the “CC” motif. Among all human protein kinases, only LRRK2 contains this “CC” motif (C2024 and C2025) in the Activation Segment (AS) of the kinase domain. In an approach combining site-directed mutagenesis, biochemical analyses, cell-based assays, and Gaussian accelerated Molecular Dynamics (GaMD) simulations we could attribute a role for each of those cysteines. We employed reducing and oxidizing agents with potential clinical relevance to investigate effects on kinase activity and microtubule docking. We find that each cysteine gives a distinct contribution: the first cysteine, C2024, is essential for LRRK2 protein kinase activity, while the adjacent cysteine, C2025, contributes significantly to redox sensitivity. Implementing thiolates (R-S-) in GaMD simulations allowed us to analyse how each of the cysteines in the “CC” motif interacts with its surrounding residues depending on its oxidation state. From our studies we conclude that oxidizing agents can downregulate kinase activity of hyperactive LRRK2 PD mutations and may provide promising tools for therapeutic strategies.

Sponsor
Gefördert im Rahmen des Projekts DEAL
Citation
In: npj Parkinson's Disease Volume 10 / (2024-04-03) , S. ; eissn:2373-8057
Collections
@article{doi:10.17170/kobra-2024082910749,
  author    ={Trilling, Chiara R. and Weng, Jui-Hung and Kaila Sharma, Pallavi and Nolte, Viktoria and Wu, Jian and Ma, Wen and Boassa, Daniela and Taylor, Susan T. and Herberg, Friedrich Wilhelm},
  title    ={RedOx regulation of LRRK2 kinase activity by active site cysteines},
  keywords ={540 and 570 and Bioinformatik and Parkinson-Krankheit and Proteine},
  copyright  ={http://creativecommons.org/licenses/by/4.0/},
  language ={en},
  journal  ={npj Parkinson's Disease},
  year   ={2024-04-03}
}