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Record W2016500240 · doi:10.1097/wnr.0b013e3282f3da10

ErbB4 is a suppressor of long-term potentiation in the adult hippocampus

2008· article· en· W2016500240 on OpenAlexafffund
Graham M. Pitcher, Simon Beggs, Ran‐Sook Woo, Lin Mei, Michael W. Salter

Bibliographic record

VenueNeuroreport · 2008
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsHospital for Sick ChildrenUniversity of TorontoSickKids Foundation
FundersCanadian Institutes of Health ResearchNational Institutes of HealthCanada Research ChairsNational Institute of Neurological Disorders and StrokeHoward Hughes Medical Institute
KeywordsLong-term potentiationERBB4NeuroscienceSchaffer collateralHippocampusGlutamatergicNeurotransmissionSynaptic plasticityBiologySchizophrenia (object-oriented programming)Excitatory postsynaptic potentialPsychologyReceptorSignal transductionGlutamate receptorCell biologyInhibitory postsynaptic potentialPsychiatryBiochemistry

Abstract

fetched live from OpenAlex

ErbB4 has emerged as a leading susceptibility gene for schizophrenia but the function of the ErbB4 receptor in the adult brain is unknown. Here, we show in the adult hippocampus that long-term potentiation (LTP) of transmission at Schaffer collateral CA1 synapses was markedly enhanced in mutant mice lacking ErbB4. Concordantly, LTP was enhanced by acutely blocking ErbB4 in wild-type animals, indicating that ErbB4 activity constitutively suppresses LTP. Moreover, increasing ErbB4 signaling further suppressed LTP. By contrast, altering ErbB4 activity did not affect basal synaptic transmission or short-term facilitation. Our findings suggest that cognitive deficits in schizophrenia may be a consequence of hyperfunction of ErbB4 signaling leading to suppressed glutamatergic synaptic plasticity, thus opening new approaches for the treatment of this disorder.

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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.069
GPT teacher head0.346
Teacher spread0.277 · 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

Citations76
Published2008
Admission routes2
Has abstractyes

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