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Interaction of LRRK2 with kinase and GTPase signaling cascades

Overview of attention for article published in Frontiers in Molecular Neuroscience, July 2014
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Title
Interaction of LRRK2 with kinase and GTPase signaling cascades
Published in
Frontiers in Molecular Neuroscience, July 2014
DOI 10.3389/fnmol.2014.00064
Pubmed ID
Authors

Joon Y. Boon, Julien Dusonchet, Chelsea Trengrove, Benjamin Wolozin

Abstract

LRRK2 is a protein that interacts with a plethora of signaling molecules, but the complexity of LRRK2 function presents a challenge for understanding the role of LRRK2 in the pathophysiology of Parkinson's disease (PD). Studies of LRRK2 using over-expression in transgenic mice have been disappointing, however, studies using invertebrate systems have yielded a much clearer picture, with clear effects of LRRK2 expression, knockdown or deletion in Caenorhabditis elegans and Drosophila on modulation of survival of dopaminergic neurons. Recent studies have begun to focus attention on particular signaling cascades that are a target of LRRK2 function. LRRK2 interacts with members of the mitogen activated protein kinase (MAPK) pathway and might regulate the pathway action by acting as a scaffold that directs the location of MAPK pathway activity, without strongly affecting the amount of MAPK pathway activity. Binding to GTPases, GTPase-activating proteins and GTPase exchange factors are another strong theme in LRRK2 biology, with LRRK2 binding to rac1, cdc42, rab5, rab7L1, endoA, RGS2, ArfGAP1, and ArhGEF7. All of these molecules appear to feed into a function output for LRRK2 that modulates cytoskeletal outgrowth and vesicular dynamics, including autophagy. These functions likely impact modulation of α-synuclein aggregation and associated toxicity eliciting the disease processes that we term PD.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 20%
Researcher 17 18%
Student > Master 14 14%
Student > Bachelor 8 8%
Other 7 7%
Other 15 15%
Unknown 17 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 24%
Agricultural and Biological Sciences 23 24%
Neuroscience 15 15%
Medicine and Dentistry 7 7%
Chemistry 4 4%
Other 8 8%
Unknown 17 18%