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Record W3048365692

Assessment of Autistic-like Behaviour of Mice Lacking ATRX in Forebrain Glutamatergic Neurons

2020· article· en· W3048365692 on OpenAlexfundno aff
Nicole Martin‐Kenny

Bibliographic record

VenueScholarship@Western (Western University) · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsnot available
FundersRobarts Research Institute
KeywordsForebrainGlutamatergicNeuroscienceATRXAutismPsychologyBiologyCommunicationGlutamate receptorCentral nervous systemDevelopmental psychologyGeneticsMutation
DOInot available

Abstract

fetched live from OpenAlex

Mutations in ATRX, which encodes a chromatin remodeling protein, have been identified in patients with autism and are associated with ATR-X syndrome, a genetic disorder characterized by cognitive deficits, developmental delays, and autistic-like behaviour. Despite the relationship between ATRX and autism, it is not yet known how mutations lead to autistic behaviour. To investigate this relationship, we generated two mouse models displaying distinct timing of Atrx inactivation in forebrain excitatory neurons. With these models, we performed behavioural paradigms to assess behaviour related to autism. Behavioural testing revealed that the conditional deletion of Atrx in differentiated forebrain neurons during embryogenesis leads to aggressive social behaviour, overgrooming stereotypies, and an exaggerated startle response in male mice. However, these autistic-like traits were not observed after a postnatal deletion of Atrx in forebrain neurons. We conclude that neuronal ATRX is required at early stages of forebrain development to suppress autistic-like behaviour in male mice.

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 score0.002
Threshold uncertainty score0.006

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 science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.053
GPT teacher head0.301
Teacher spread0.248 · 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
Published2020
Admission routes1
Has abstractyes

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