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Record W2061655868 · doi:10.1016/j.febslet.2007.04.068

Neurexin‐1 is required for synapse formation and larvae associative learning in <i>Drosophila</i>

2007· article· en· W2061655868 on OpenAlex
Xiankun Zeng, Mingkuan Sun, Li Liu, Fading Chen, Liuchan Wei, Wei Xie

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueFEBS Letters · 2007
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology and Insect Physiology Research
Canadian institutionsnot available
FundersSoutheast UniversityNational Key Research and Development Program of ChinaUniversity of TorontoYale University
KeywordsNeurexinSynaptogenesisSynapseBiologyCell biologyAssociative learningMutantNeuroscienceGeneticsPostsynaptic potentialGeneReceptor

Abstract

fetched live from OpenAlex

Neurexins are highly polymorphic cell-surface adhesive molecules in neurons. In cultured mammalian cell system, they were found to be involved in synaptogenesis. Here, we report for the first time that Drosophila neurexin is required for synapse formation and associative learning in larvae. Drosophila genome encodes a single functional neurexin (CG7050; Neurexin-1 or Nrx-1), which is a homolog of vertebrate alpha-neurexin. Neurexin-1 is expressed in central nervous system and highly enriched in synaptic regions of the ventral ganglion and brain. Neurexin-1 null mutants are viable and fertile, but have shortened lifespan. The synapse number is decreased in central nervous system in Neurexin-1 null mutants. In addition, Neurexin-1 null mutants exhibit associative learning defect in larvae.

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.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.026
Threshold uncertainty score0.419

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.033
GPT teacher head0.296
Teacher spread0.263 · 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