Evidence map›Paper›PMID 24695735›Full record

ArticleThe Journal of biological chemistry2014

The Parkinson disease-linked LRRK2 protein mutation I2020T stabilizes an active state conformation leading to increased kinase activity.

Soumya Ray, Samantha Bender, Stephanie Kang, Regina Lin, Marcie A Glicksman, Min Liu

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
4.3field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Exploring LRRK2-dependent Mechanisms in Parkinson's Disease Therapy.CNS & neurological disorders drug targets · 2025
    Review
  3. Article
  4. Review
  5. Article
  6. LRRK2 and idiopathic Parkinson's disease.Trends in neurosciences · 2022
    Review
  7. Article
  8. Genetic and Environmental Factors Influence the Pleomorphy ofInternational journal of molecular sciences · 2021
    Review
  9. Review
  10. Article
  11. The dynamic switch mechanism that leads to activation of LRRK2 is embedded in the DFGψ motif in the kinase domain.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  12. Review
  13. Article
  14. LRRK2 autophosphorylation enhances its GTPase activity.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2016
    Article
  15. Review
  16. Review
  17. LRRK2 Pathways Leading to Neurodegeneration.Current neurology and neuroscience reports · 2015
    Review
  18. Ten years and counting: moving leucine-rich repeat kinase 2 inhibitors to the clinic.Movement disorders : official journal of the Movement Disorder Society · 2015
    Review
  19. LRRK2 pathobiology in Parkinson's disease.Journal of neurochemistry · 2014
    Review
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Soumya RayFrom the Laboratory for Drug Discovery in Neurodegeneration, Harvard NeuroDiscovery Center, and.
Samantha Bender
Stephanie Kang
Regina Lin
Marcie A Glicksman
Min Liu
Harvard University · USCenter for Discovery · USBrigham and Women's Hospital · US

Funding

Small Molecule Probes for Elucidating LRRK2 Kinase FunctionsR21NS072519 · NINDS · BRIGHAM AND WOMEN'S HOSPITAL · PI GLICKSMAN, MARCIE A · 2011 to 2012
$551k
NINDS NIH HHS R21 NS 072519NINDS NIH HHS R21 NS072519
6 · The paper itself

Abstract

The effect of leucine-rich repeat kinase 2 (LRRK2) mutation I2020T on its kinase activity has been controversial, with both increased and decreased effects being reported. We conducted steady-state and pre-steady-state kinetic studies on LRRKtide and its analog LRRKtide(S). Their phosphorylation differs by the rate-limiting steps: product release is rate-limiting for LRRKtide and phosphoryl transfer is rate-limiting for LRRKtide(S). As a result, we observed that the I2020T mutant is more active than wild type (WT) LRRK2 for LRRKtide(S) phosphorylation, whereas it is less active than WT for LRRKtide phosphorylation. Our pre-steady-state kinetic data suggest that (i) the I2020T mutant accelerates the rates of phosphoryl transfer of both reactions by 3-7-fold; (ii) this increase is masked by a rate-limiting product release step for LRRKtide phosphorylation; and (iii) the observed lower activity of the mutant for LRRKtide phosphorylation is a consequence of its instability: the concentration of the active form of the mutant is 3-fold lower than WT. The I2020T mutant has a dramatically low KATP and therefore leads to resistance to ATP competitive inhibitors. Two well known DFG-out or type II inhibitors are also weaker toward the mutant because they inhibit the mutant in an unexpected ATP competitive mechanism. The I2020 residue lies next to the DYG motif of the activation loop of the LRRK2 kinase domain. Our modeling and metadynamic simulations suggest that the I2020T mutant stabilizes the DYG-in active conformation and creates an unusual allosteric pocket that can bind type II inhibitors but in an ATP competitive fashion.

Indexed as

Models, BiologicalModels, MolecularMutation, MissenseParkinson DiseaseProtein Serine-Threonine KinasesAdenosine TriphosphateAmino Acid SubstitutionAnimalsEnzyme StabilityHumansLeucine-Rich Repeat Serine-Threonine Protein Kinase-2PhosphorylationProtein Structure, TertiaryAdenosine TriphosphateLeucine-Rich Repeat Serine-Threonine Protein Kinase-2LRRK2 protein, humanProtein Serine-Threonine KinasesEnzyme InhibitorsEnzyme KineticsLRRK2Molecular modelingParkinson Disease

Identifiers

PMID24695735
PMCPMC4036318
OpenAlexW1994621465

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.