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Record W3108764896 · doi:10.1101/2020.11.25.397877

Differential impact of GABA <sub>A</sub> receptors and gephyrin post-translational modifications on layer 2/3 pyramidal neuron responsiveness <i>in vivo</i>

2020· preprint· en· W3108764896 on OpenAlexaff

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2020
Typepreprint
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsUniversity of Manitoba
FundersUniversität ZürichOlga Mayenfisch StiftungSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungNational Science Foundation
KeywordsGephyrinInhibitory postsynaptic potentialPostsynaptic potentialScaffold proteinGABAergicLong-term potentiationBarrel cortexInterneuronGABAA receptor

Abstract

fetched live from OpenAlex

Abstract A diverse set of GABA A receptors (GABA A Rs) enable synaptic plasticity adaptations at inhibitory postsynaptic sites in collaboration with the scaffolding protein gephyrin. Early studies helped to identify distinctions between GABA A R subtypes allocated within specific functional circuits, but their contribution to the changing dynamics of a microcircuit remains unclear. Here, using the whisker-barrel system in mouse, we assessed the contribution of specific synaptic GABA A R subtypes and gephyrin scaffolding changes to sensory processing in vivo . We monitored spontaneous and evoked Ca 2+ transients in layer 2/3 pyramidal cells with the genetically encoded Ca 2+ sensor RCaMP1.07. Using Gabra1 or Gabra2 global and conditional knockout mice, we uncovered that α1- and α2-GABA A Rs determine the sparseness of L2/3 pyramidal neuron encoding. In a cell-type dependent manner, α1-GABA A Rs and α2-GABA A Rs affected neuronal excitability and the reliability of neuronal responses after whisker stimulation. We also discerned that gephyrin with its diverse post-translational modifications (PTMs) shows preference for specific GABA A R subtype to facilitate microcircuit activity. Our results underscore the relevance of the diversity of GABA A Rs within a cortical microcircuit. Key points While GABAergic inhibition from interneuron subtypes regulates cortical microcircuit activity the molecular determinants have remain unclear. We demonstrate that specific-GABA A receptor subtypes contribute differentially to layer 2/3 neuronal activities in mouse barrel cortex. Importantly, we link the GABAAR contributions to the scaffolding properties of its important postsynaptic density protein gephyrin. We show that different PTMs on gephyrin determines neuronal excitability via GABAAR recruitment and modulation of inhibition within layer 2/3 neurons. Specifically, α1 and α2 subunits containing GABA A receptors, along with their scaffolding protein gephyrin determine the distribution of high, medium and low activity pyramidal neurons during sensory encoding, whereby controlling the total activity of cortical microcircuit.

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 score0.004

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 integrity0.0000.001
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 head0.041
GPT teacher head0.297
Teacher spread0.256 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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