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Record W2970269385 · doi:10.1016/j.celrep.2019.07.075

Junctophilin Proteins Tether a Cav1-RyR2-KCa3.1 Tripartite Complex to Regulate Neuronal Excitability

2019· article· en· W2970269385 on OpenAlexafffund
Giriraj Sahu, Rima Wazen, Pina Colarusso, S.R. Wayne Chen, Gerald W. Zamponi, Ray W. Turner

Bibliographic record

VenueCell Reports · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsLibin Cardiovascular Institute of AlbertaHotchkiss Brain InstituteUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health ResearchAlberta Innovates - Health SolutionsUniversity of CalgaryFoundation for Cardiovascular ResearchHeart and Stroke Foundation of Canada
KeywordsRyanodine receptorRyanodine receptor 2Endoplasmic reticulumCell biologyCav1.2Calcium signalingCalciumBiophysicsChemistryVoltage-dependent calcium channelPotassium channelHippocampal formationNeuroscienceBiologySignal transduction

Abstract

fetched live from OpenAlex

The excitability of CA1 hippocampal pyramidal cells is mediated by a slow AHP (sAHP) that responds to calcium increases by Cav1 calcium channels and ryanodine receptors (RyR). We used super-resolution and FRET microscopy to investigate the proximity and functional coupling among Cav1.3/Cav1.2, RyR2, and KCa3.1 potassium channels that contribute to the sAHP. dSTORM and FRET imaging shows that Cav1.3, RyR2, and KCa3.1 are organized as a triprotein complex that colocalizes with junctophilin (JPH) 3 and 4 proteins that tether the plasma membrane to the endoplasmic reticulum. JPH3 and JPH4 shRNAs dissociated a Cav1.3-RyR2-KCa3.1 complex and reduced the IsAHP. Infusing JPH3 and JPH4 antibodies into CA1 cells reduced IsAHP and spike accommodation. These data indicate that JPH3 and JPH4 proteins maintain a Cav1-RyR2-KCa3.1 complex that allows two calcium sources to act in tandem to define the activation properties of KCa3.1 channels and the IsAHP.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.677
Threshold uncertainty score0.672

Codex and Gemma teacher scores by category

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 head0.015
GPT teacher head0.237
Teacher spread0.222 · 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.

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

Citations71
Published2019
Admission routes2
Has abstractyes

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