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Record W2998501200 · doi:10.1101/2020.01.06.895367

Parkinson’s Disease-linked LRRK2 structure and model for microtubule interaction

2020· preprint· en· W2998501200 on OpenAlexfundno aff
Colin Deniston, John Salogiannis, Sebastian Mathea, David Snead, Indrajit Lahiri, Oscar Donosa, Reika Watanabe, Jan Böhning, Andrew K. Shiau, Elizabeth Villa, Samara L. Reck‐Peterson, Andrés E. Leschziner

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2020
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicrotubule and mitosis dynamics
Canadian institutionsnot available
FundersNovartis PharmaUniversity of California, San DiegoDeutsche ForschungsgemeinschaftOntario Ministry of Economic Development and InnovationLudwig Institute for Cancer ResearchMerck KGaAFundação de Amparo à Pesquisa do Estado de São PauloGiannini Foundation of Agricultural EconomicsGenome CanadaCalifornia NanoSystems InstituteMinistero dello Sviluppo EconomicoHoward Hughes Medical InstitutePfizerNational Institutes of HealthA.P. Giannini FoundationNational Science Foundation
KeywordsLRRK2MicrotubuleDyneinKinesinCell biologyKinaseProtein kinase domainChemistryMotilityBiophysicsBiologyBiochemistryGeneMutation

Abstract

fetched live from OpenAlex

Abstract L eucine R ich R epeat K inase 2 ( LRRK2 ) is the most commonly mutated gene in familial Parkinson’s disease. LRRK2 is proposed to function in membrane trafficking and co-localizes with microtubules. We report the 3.5Å structure of the catalytic half of LRRK2, and an atomic model of microtubule-associated LRRK2 built using a reported 14Å cryo-electron tomography in situ structure. We propose that the conformation of LRRK2’s kinase domain regulates its microtubule interaction, with a closed conformation favoring binding. We show that the catalytic half of LRRK2 is sufficient for microtubule binding and blocks the motility of the microtubule-based motors kinesin and dynein in vitro . Kinase inhibitors that stabilize an open conformation relieve this interference and reduce LRRK2 filament formation in cells, while those that stabilize a closed conformation do not. Our findings suggest that LRRK2 is a roadblock for microtubule-based motors and have implications for the design of therapeutic LRRK2 kinase inhibitors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.177
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.230
Teacher spread0.216 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations21
Published2020
Admission routes1
Has abstractyes

Explore more

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