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Record W2016983224 · doi:10.1002/dneu.20595

Moesin helps to restrain synaptic growth at the <i>Drosophila</i> neuromuscular junction

2007· article· en· W2016983224 on OpenAlexaff
Sara Seabrooke, Bryan A. Stewart

Bibliographic record

VenueDevelopmental Neurobiology · 2007
Typearticle
Languageen
FieldNeuroscience
TopicNeurobiology and Insect Physiology Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMoesinBiologyNeuromuscular junctionCell biologyPhenotypeExcitatory postsynaptic potentialSynapseActinNeuroscienceCytoskeletonGeneticsInhibitory postsynaptic potentialCellGeneEzrin

Abstract

fetched live from OpenAlex

The precise role of actin and actin-binding proteins in synaptic development is unclear. In Drosophila, overexpression of a dominant-negative NSF2 construct perturbs filamentous actin, which is associated with overgrowth of the NMJ, while co-expression of moesin, which encodes an actin binding protein, suppresses this overgrowth phenotype. These data suggest that Moesin may play a role in synaptic development at the Drosophila NMJ. To further investigate this possibility, we examined the influence of loss-of-function moesin alleles on the NSF2-induced overgrowth phenotype. We found that flies carrying P-element insertions that reduce moesin expression enhanced the NMJ overgrowth phenotype, indicating a role for Moesin in normal NMJ morphology. In addition to the NMJ overgrowth phenotype, expression of dominant-negative NSF2 is known to reduce the frequency of miniature excitatory junctional potentials and the amplitude of excitatory junctional potentials. We found that moesin coexpression did not restore the physiology of the mutant NSF2 phenotype. Together, our results demonstrate a role for moesin in regulating synaptic growth in the Drosophila NMJ and suggest that the effect of dominant-negative NSF2 on NMJ morphology and physiology may have different underlying molecular origins.

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 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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.079
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.027
GPT teacher head0.268
Teacher spread0.241 · 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 teacher head, not a consensus.

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

Citations10
Published2007
Admission routes1
Has abstractyes

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