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Record W7006058686

The study of sonic hedgehog signaling pathway in the development of lysosomal acid phosphatase (Acp2) mutant mice cerebellar granule cells

2017· dissertation· en· W7006058686 on OpenAlexaff

Bibliographic record

VenueMspace (University of Manitoba) · 2017
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHedgehog Signaling Pathway Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSonic hedgehogCerebellumGranule (geology)Acid phosphataseHedgehog signaling pathwayMutantGranule cellCerebellar cortexPhosphatase
DOInot available

Abstract

fetched live from OpenAlex

A lysosomal acid phosphatase 2 (Acp2) mutant mouse (naked-ataxia, nax) shows severe cerebellar cortex defect with a significant reduction in granule cells in the cerebellum. The sonic hedgehog (SHH) and N-Myc pathways are important for granule cell precursor proliferation and differentiation. The project tests the hypothesis that the proliferation defect of granule cells is associated with SHH - N-Myc pathway impairment in the nax mutant cerebellum. To investigate morphological changes in the nax cerebellum and alteration in the SHH - N-Myc pathway, in vivo and in vitro immunohistochemistry and Western blotting were used. My data showed a strikingly reduced N-Myc expression in the nax cerebellum, which was accompanied by an increase in proteasome activity, suggesting that the significant reduction of granule cells in nax cerebellum is potentially due to the dysregulation of N-Myc via the abnormal ubiquitin-proteasome system activity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.016
GPT teacher head0.224
Teacher spread0.207 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2017
Admission routes1
Has abstractyes

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