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Moser, R.

Publications and source records attributed to Moser, R..

2 recordsLinked to original sources

Parkinson's disease-associated LRRK2 risk variant, G2385R, enhances Rab substrate phosphorylation and impairs neuronal integrity

Mutations in the LRRK2 gene are the most frequent cause of familial Parkinsons disease (PD) whereas common variants are associated with an increased risk for sporadic PD. LRRK2 encodes a multi-domain protein displaying two functional enzymatic activities: GTPase and kinase. Familial LRRK2 mutations have been linked to alterations in its GTPase and kinase activities, elevated substrate phosphorylation, as well as increased neurotoxicity in cell and animal models. In addition to familial mutations, several common LRRK2 coding variants have been associated with PD risk in different ethnic populations. Little is known about how these coding variants modulate the risk of developing PD. In this study, we aim to evaluate whether a collection of LRRK2 coding risk variants (A419V, N551K, R1398H, R1628P, M1646T, S1647T, G2385R) modify the biochemical properties of the LRRK2 protein and LRRK2-mediated neurotoxicity using cell-based assays. With the exception of G2385R, we find that coding risk variants have minimal impact on LRRK2 steady-state protein levels, GTP-binding, phosphorylation at Ser910, Ser935, and Ser1292, and subcellular localization in human cell lines and cultured primary neurons. G2385R reduces the steady-state levels of LRRK2 and exhibits reduced phosphorylation at Ser910/Ser935 and Ser1292, consistent with diminished kinase activity. Notably, however, LRRK2 variants associated with increased PD risk (A419V, R1628P, M1646T, and G2385R) significantly elevate the levels of LRRK2-mediated Rab10 phosphorylation by two-fold in cells. In contrast, LRRK2 variants associated with reduced PD risk (N551K, R1398H, and N551K-R1398H) do not alter normal LRRK2-mediated pRab10 levels. Intriguingly, we find that both PD-risk and PD-protective LRRK2 variants can respond normally to kinase activation by different lysosomal stressors (chloroquine, nigericin and monensin) to robustly induce pRab10 levels in cells. The PD risk variant, G2385R LRRK2, significantly inhibits neurite outgrowth in primary cortical neurons compared to wild-type LRRK2. Combining each coding risk variant with the familial G2019S mutation has minimal impact on the elevated kinase activity of G2019S LRRK2 or its capacity to inhibit neurite outgrowth. Our study indicates that LRRK2-dependent Rab phosphorylation represents a relevant readout of PD risk induced by LRRK2 coding variants and demonstrates that the PD risk variant, G2385R LRRK2, creates a hyperactive kinase that can impair neuronal integrity at comparable levels to the effects of G2019S LRRK2.

neuroscience↗

A functional module states framework reveals cell states for drug and target prediction

Cells are complex systems in which many functions are performed by different genetically-defined and encoded functional modules. To systematically understand how these modules respond to drug or genetic perturbations, we developed a Functional Module States framework. Using this framework, we 1) defined the drug induced transcriptional state space for breast cancer cell lines using large public gene expression datasets, and revealed that the transcriptional states are associated with drug concentration and drug targets; 2) identified potential targetable vulnerabilities through integrative analysis of transcriptional states after drug treatment and gene knockdown associated cancer dependency; and 3) used functional module states to predict transcriptional state-dependent drug sensitivity and built prediction models using the functional module states for drug response. This approach demonstrates a similar prediction performance as do approaches using high dimensional gene expression values, with the added advantage of more clearly revealing biologically relevant transcriptional states and key regulators.

systems biology↗