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Record W7007819382

Altered morphology of YFP-expressing neurons in a Rett Syndrome mouse model

2010· dissertation· en· W7007819382 on OpenAlexfundno aff

Bibliographic record

VenueUVic’s Research and Learning Repository (University of Victoria) · 2010
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchMichael Smith Health Research BC
KeywordsRett syndromeMutantGenetically modified mouseTransgenePhenotypeMECP2SynapseCentral nervous systemBasal (medicine)Motor cortex
DOInot available

Abstract

fetched live from OpenAlex

Rett Syndrome (RTT, OMIM 312750) is a pervasive autism spectrum disorder affecting 1 in 10,000 females. The majority of cases are caused by mutations in the X-linked gene MECP2. The RTT phenotype appears to be caused by impaired synapse maturation or maintenance, resulting in disrupted autonomic nervous system function, mental retardation, ataxia, apraxia, and movement stereotypies. While not a neurodegenerative disorder RTT is marked by region-specific reductions in brain volume. We examined the morphology of YFP-expressing Layer 5 pyramidal neurons in the motor cortex of a MeCP2 mutant RTT mouse model. Mutant mice exhibited smaller somata and reduced dendritic lengths in both the apical tuft and basal arbor. Basal dendritic branching was also reduced proximal to the soma. These changes are consistent with the motor deficits observed in mutant mice and in human RTT patients. Altered expression of a Thy-1-YFP reporter transgene in MeCP2 mutant mice is also described.

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 score0.003
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.017
GPT teacher head0.261
Teacher spread0.244 · 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
Published2010
Admission routes1
Has abstractyes

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