MétaCan
Menu
Back to cohort
Record W2896237775 · doi:10.1096/fj.201801556r

Sacsin, mutated in the ataxia ARSACS, regulates intermediate filament assembly and dynamics

2018· article· en· W2896237775 on OpenAlexaffabout
Benoît J. Gentil, Gia-Thanh Lai, Marie Ménade, Roxanne Larivière, Sandra Minotti, Kalle Gehring, J. Paul Chapple, Bernard Brais, Heather D. Durham

Bibliographic record

VenueThe FASEB Journal · 2018
Typearticle
Languageen
FieldNeuroscience
TopicGenetic Neurodegenerative Diseases
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
FundersBiotechnology and Biological Sciences Research CouncilAtaxia UKBarts Charity
KeywordsDynamics (music)AtaxiaProtein filamentNeuroscienceGeneticsBiologyPhysics

Abstract

fetched live from OpenAlex

ABSTRACT Loss of sacsin, a large 520 kDa multidomain protein, causes autosomal recessive spastic ataxia of the Charlevoix‐Saguenay, one of the most common childhood‐onset recessive ataxias. A prominent feature is abnormal bundling of neurofilaments in many neuronal populations. This study shows the direct involvement of sacsin domains in regulating intermediate filament assembly and dynamics and identifies important domains for alleviating neurofilament bundles in neurons lacking sacsin. Peptides encoding sacsin internal repeat (SIRPT) 1, J‐domains, and ubiquitin‐like domain modified neurofilament assembly in vivo . The domains with chaperone homology, the SIRPT and the J‐domain, had opposite effects, promoting and preventing filament assembly, respectively. In cultured Sacs −/− motor neurons, both the SIRPT1 and J‐domain resolved preexisting neurofilament bundles. Increasing expression of heat shock proteins also resolved neurofilament bundles, indicating that this endogenous chaperone system can compensate to some extent for sacsin deficiency.—Gentil, B. J., Lai, G.‐T., Menade, M., Larivière, R., Minotti, S., Gehring, K., Chappie, J.‐P., Brais, B., Durham, H. D. Sacsin, mutated in the ataxia ARSACS, regulates intermediate filament assembly and dynamics. FASEB J. 33, 2982–2994 (2019). www.fasebj.org

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 score0.061
Threshold uncertainty score0.328

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 science0.0010.000
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 head0.022
GPT teacher head0.265
Teacher spread0.243 · 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

Citations51
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueThe FASEB JournalSame topicGenetic Neurodegenerative DiseasesFrench-language works237,207