Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
Mutations in leucine-rich repeat kinase (LRRK2) are the most common cause of heritable Parkinson's disease (PD), and the most common mutations in LRRK2 lead to elevated kinase activity. For these reasons, inhibitors targeting LRRK2 have been the subject of intense research and development. However, it has been difficult to develop preclinical models that recapitulate PD-relevant LRRK2 phenotypes. The primary pathology in PD is the Lewy body (LB), which is a cytoplasmic aggregate of α-synuclein. The recent demonstration that LB-like aggregates of α-synuclein can be induced in primary neurons has provided a robust model for testing genetic modifiers of PD-relevant aggregation and neurodegeneration. In this study, we test the modulation of α-synuclein pathology by LRRK2 in primary neuron cultures using biochemistry and immunocytochemistry. We find that expression of familial mutant G2019S LRRK2 does not dramatically elevate the pathological burden of α-synuclein or neurodegeneration in neurons. We further test three LRRK2 inhibitors in two strains of wildtype neurons and find that even robust LRRK2 inhibition is insufficient to reduce α-synuclein pathology. LRRK2 inhibitors similarly had no effect in neurons with α-synuclein pathology seeded by human brain-derived pathological α-synuclein. Finally, we find that this lack of pathological modulation by LRRK2 was not confined to hippocampal neurons, but was also absent in midbrain dopaminergic neuron cultures. These data demonstrate that LRRK2 activity does not have more than minor effects on α-synuclein pathology in primary neurons, and more complex models may be needed to evaluate the ability of LRRK2 inhibitors to treat PD.
Pubmed ID: 29855356
Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.
A commercial antibody supplier and provider of various services.
View all literature mentionsTHIS RESOURCE IS NO LONGER IN SERVICE, documented on January 31, 2022. Data services to support validation of economically relevant traits for the livestock industries. Sponsors: This resource is supported by Pfizer Animal Health. Keywords: Animal, Genetics, Health, World, Genetic, Information, Service, Industry, Livestock, DNA, Maker, Technology, Phenotypic, Productivity,
View all literature mentionsNEURON is a simulation environment for modeling individual neurons and networks of neurons. It provides tools for conveniently building, managing, and using models in a way that is numerically sound and computationally efficient. It is particularly well-suited to problems that are closely linked to experimental data, especially those that involve cells with complex anatomical and biophysical properties. NEURON has benefited from judicious revision and selective enhancement, guided by feedback from the growing number of neuroscientists who have used it to incorporate empirically-based modeling into their research strategies. NEURON's computational engine employs special algorithms that achieve high efficiency by exploiting the structure of the equations that describe neuronal properties. It has functions that are tailored for conveniently controlling simulations, and presenting the results of real neurophysiological problems graphically in ways that are quickly and intuitively grasped. Instead of forcing users to reformulate their conceptual models to fit the requirements of a general purpose simulator, NEURON is designed to let them deal directly with familiar neuroscience concepts. Consequently, users can think in terms of the biophysical properties of membrane and cytoplasm, the branched architecture of neurons, and the effects of synaptic communication between cells. * helps users focus on important biological issues rather than purely computational concerns * has a convenient user interface * has a user-extendable library of biophysical mechanisms * has many enhancements for efficient network modeling * offers customizable initialization and simulation flow control * is widely used in neuroscience research by experimentalists and theoreticians * is well-documented and actively supported * is free, open source, and runs on (almost) everything
View all literature mentionsThis polyclonal targets IgG
View all literature mentionsThis monoclonal targets LRRK2
View all literature mentionsThis monoclonal targets LRRK2 (phospho S935)
View all literature mentionsThis polyclonal targets IgG
View all literature mentionsThis monoclonal targets Tyrosine Hydroxylase
View all literature mentionsThis monoclonal targets Human SQSTM1
View all literature mentionsThis monoclonal targets alpha Synuclein phosphorylated on Ser129
View all literature mentionsImage analysis software that acquires, analyzes, and archives research data without altering raw findings. It integrates data and changes how pixels are mapped to the screen for clearer display, rather than altering the pixels of the image data itself.
View all literature mentionsMus musculus with name Crl:CD1(ICR) from IMSR.
View all literature mentionsMus musculus with name C57BL/6J from IMSR.
View all literature mentionsMus musculus with name B6.Cg-Tg(Lrrk2*G2019S)2Yue/J from IMSR.
View all literature mentionsTHIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 12,2023. Matlab code for two-factor (location and year) analysis-of-variance model for the calculation of climate anomalies, in which the reference interval is specified as the full length of the dataset. This scheme avoids the affects of shorter (e.g. 1961-1990) reference intervals on the temporal evolution of the spatial standard deviation of climate anomalies. Data files provided.
View all literature mentions