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Record W4308039421 · doi:10.1016/j.celrep.2022.111584

Allosteric potentiation of GABAA receptor single-channel conductance by netrin-1 during neuronal-excitation-induced inhibitory synaptic homeostasis

2022· article· en· W4308039421 on OpenAlexafffund
Elizabeth S. Chan, Yang Ge, Yee Wah So, Yunfei Bai, Lidong Liu, Yu Tian Wang

Bibliographic record

VenueCell Reports · 2022
Typearticle
Languageen
FieldNeuroscience
TopicAxon Guidance and Neuronal Signaling
Canadian institutionsUniversity of British Columbia HospitalUniversity of British Columbia
FundersCanadian Institutes of Health ResearchUniversity of British ColumbiaAgency for Science, Technology and Research
KeywordsAllosteric regulationGABAA receptorLong-term potentiationInhibitory postsynaptic potentialNeuroscienceSynaptic plasticityAllosteric modulatorHomeostatic plasticityHomeostasisCell biologyReceptorEndogenyChemistryNeurotransmissionBiologyBiochemistryMetaplasticity

Abstract

fetched live from OpenAlex

As the principal receptor that mediates both synaptic and tonic inhibition of neurons in the brain, the A-type gamma-aminobutyric acid receptor (GABA A R) is functionally important for maintaining the balance between neuronal excitation and inhibition. Here, we report the identification of netrin-1 as an endogenous allosteric modulator of GABA A Rs. Following increased neuronal excitability, netrin-1 is secreted and binds to the extracellular domains of GABA A R subunits, thereby inducing homeostatic upscaling of GABA A R-mediated synaptic efficacy and currents. Surprisingly, this homeostatic plasticity is primarily mediated by increasing GABA A R single-channel conductance. Our study reveals an important role of netrin-1 as an endogenous GABA A R allosteric modulator in maintaining neuronal excitation-inhibition balance, a fundamental process for brain function and dysfunction.

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)0.0000.000
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)0.0020.000

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 head0.031
GPT teacher head0.225
Teacher spread0.194 · 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

Citations8
Published2022
Admission routes2
Has abstractyes

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