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Low Voltage-Activated Ca<sup>2+</sup>Channels Are Coupled to Ca<sup>2+</sup>-Induced Ca<sup>2+</sup>Release in Rat Thalamic Midline Neurons

2005· article· en· W1972289026 on OpenAlexafffund
Trevor Richter, Miloslav Kolaj, Leo P. Renaud

Bibliographic record

VenueJournal of Neuroscience · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsParks CanadaHealth Canada
FundersCanadian Institutes of Health Research
KeywordsIntracellularExtracellularBiophysicsThapsigarginChemistryCoupling (piping)Voltage-dependent calcium channelNeuroscienceCalciumBiologyBiochemistryMaterials science

Abstract

fetched live from OpenAlex

High voltage-activated Ca2+ channels are coupled to the release of Ca2+ from intracellular stores. Here we present evidence that, in the paraventricular thalamic nucleus and other midline thalamic nuclei, activation of low voltage-activated (LVA) Ca2+ channels stimulates Ca2+-induced Ca2+ release (CICR) from intracellular stores. Voltage-clamp activation of LVA Ca2+ channels in fluo-4 AM-loaded neurons induced an initial transient increase in intracellular Ca2+ concentrations ([Ca2+]i) (mean increase, 19.4%; decay time constant, 71 ms) that reflected the entry of extracellular Ca2+. This was followed by a sustained secondary elevation in [Ca2+]i (mean increase, 4.7%; decay time constant, 7310 ms) that was attributable to CICR. Repeated activation of LVA Ca2+ channels to evoke CICR caused a progressive buildup of baseline [Ca2+]i (mean increase, 13.12 +/- 3.41%) that was reduced by depletion of intracellular Ca2+ stores with thapsigargin or caffeine. In contrast, LVA Ca2+ channel-evoked CICR was absent from ventrolateral thalamocortical relay neurons, suggesting that LVA Ca2+ channel coupling to Ca2+-dependent intracellular signaling may be a property that is unique to nonspecific and midline thalamocortical neurons.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.260
Teacher spread0.240 · 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 designSimulation or modeling
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

Citations37
Published2005
Admission routes2
Has abstractyes

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