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Record W3071811108 · doi:10.1111/gbb.12696

The effect of background strain on the behavioral phenotypes of the <scp>MDGA2</scp><sup>+/−</sup> mouse model of autism spectrum disorder

2020· article· en· W3071811108 on OpenAlexafffund
Emre Fertan, Aimée A. Wong, Michaela K. Purdon, Ian C.G. Weaver, Richard E. Brown

Bibliographic record

VenueGenes Brain & Behavior · 2020
Typearticle
Languageen
FieldNeuroscience
TopicAutism Spectrum Disorder Research
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of CanadaFondation Brain Canada
KeywordsNeuroliginAutism spectrum disorderAutismStrain (injury)PhenotypeGenotypeAnxietyPsychologyMorris water navigation taskElevated plus mazeWild typeDevelopmental psychologyBiologyGeneticsMolecular biologyNeuroscienceGeneAnatomyPsychiatryInhibitory postsynaptic potential

Abstract

fetched live from OpenAlex

Abstract The membrane‐associated mucin (MAM) domain containing glycosylphosphatidylinositol anchor 2 protein single knock‐out mice (MDGA2 +/− ) are models of ASD. We examined the behavioral phenotypes of male and female MDGA2 +/− and wildtype mice on C57BL6/NJ and C57BL6/N backgrounds at 2 months of age and measured MDGA2, neuroligin 1 and neuroligin 2 levels at 7 months. Mice on the C57BL6/NJ background performed better than those on the C57BL6/N background in visual ability and in learning and memory performance in the Morris water maze and differed in measures of motor behavior and anxiety. Mice with the MDGA2 +/− genotype differed from WT mice in motor, social and repetitive behavior and anxiety, but most of these effects involved interactions between MDGA2 +/− genotype and background strain. The background strain also influenced MDGA2 levels and NLGN2 association in MDGA2 +/− mice. Our findings emphasize the importance of the background strain used in studies of genetically modified 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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.049
GPT teacher head0.300
Teacher spread0.251 · 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

Citations15
Published2020
Admission routes2
Has abstractyes

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Same venueGenes Brain & BehaviorSame topicAutism Spectrum Disorder ResearchFrench-language works237,207