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Record W2591186869 · doi:10.1111/jnc.13994

Rab7A regulates tau secretion

2017· article· en· W2591186869 on OpenAlexafffund
Lilia Rodriguez, Nguyen‐Vi Mohamed, Alexandre Desjardins, Roger Lippé, Edward A. Fon, Nicole Leclerc

Bibliographic record

VenueJournal of Neurochemistry · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCellular transport and secretion
Canadian institutionsMcGill UniversityMontreal Neurological Institute and HospitalUniversité de Montréal
FundersCanadian Institutes of Health ResearchPfizer
KeywordsSecretionCell biologyBiologyNeuroscienceChemistryBiochemistry

Abstract

fetched live from OpenAlex

The axonal microtubule-associated protein TAU, involved in Alzheimer's disease (AD), can be found in the extracellular space where it could be taken up by neurons, an event that is believed to contribute to the propagation of tau pathology in the brain. Since the small GTPase Rab7A is involved in the trafficking of endosomes, autophagosomes, and lysosomes, and RAB7A gene expression and protein levels are up-regulated in AD patients, we tested the hypothesis that Rab7A was involved in tau secretion. We previously reported that both primary cortical neurons and HeLa cells over-expressing human TAU can release tau. Using these two cellular systems, we demonstrated that Rab7A regulates tau secretion. Upon Rab7A deletion, tau secretion was decreased. Consistent with this, the over-expression of a dominant negative and a constitutively active form of Rab7A decreased and increased tau secretion, respectively. A partial co-localization of tau and Rab7-positive structures in both neurons and HeLa cells indicated that a late endosomal compartment could be involved in its secretion. Collectively, the present data indicate that Rab7A regulates tau secretion and therefore the up-regulation of RAB7A reported in AD, could contribute to the extracellular accumulation of pathological TAU species that could result in the propagation of tau pathology in the AD brain.

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 categoriesnone
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 score0.083
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.010
GPT teacher head0.239
Teacher spread0.229 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations63
Published2017
Admission routes2
Has abstractyes

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