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Record W2615464599 · doi:10.1007/s12035-017-0570-y

Parkinson’s Disease-Associated Mutant LRRK2-Mediated Inhibition of miRNA Activity is Antagonized by TRIM32

2017· article· en· W2615464599 on OpenAlexfundno aff
Laura González-Cano, Ingeborg Menzl, Johan Tisserand, Sarah Nicklas, Jens C. Schwamborn

Bibliographic record

VenueMolecular Neurobiology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsnot available
FundersInstitute of GeneticsNational Institutes of HealthHorizon 2020Fonds National de la Recherche LuxembourgDeutsches Krebsforschungszentrum
KeywordsLRRK2microRNAMutantBiologyDiseaseGeneFunction (biology)MutationParkinson's diseaseKinaseGeneticsCell biologyMedicineInternal medicine

Abstract

fetched live from OpenAlex

Parkinson's disease (PD) is the second most common neurodegenerative disorder. Accumulating evidences suggest that PD might have a strong neurodevelopmental component. Among the genetic cases, mutations in the leucine-rich repeat kinase 2 (LRRK2) are well known to be disease causing. Although the molecular mechanism of the pathogenic LRRK2 function is not fully clear, inhibition of microRNA (miRNA) activity has been suggested to be among the pathogenic LRRK2 targets. Here, we demonstrate that the miRNA activity inhibition function of pathogenic LRRK2 is directly antagonized by the neuronal cell fate determinant TRIM32. These findings suggest that TRIM32 might be a modifier for PD and could be a novel therapeutic target.

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)0.001
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 score0.125
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.245
Teacher spread0.236 · 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

Citations17
Published2017
Admission routes1
Has abstractyes

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