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Ion channels in interstitial cells of Cajal as targets for neurotransmitter action

2004· review· en· W2111644485 on OpenAlexaff
Jan D. Huizinga, C Golden, Yingdong Zhu, Elizabeth J. White

Bibliographic record

VenueNeurogastroenterology & Motility · 2004
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsMcMaster University
Fundersnot available
KeywordsNeurotransmitterT-type calcium channelNeurotransmissionChemistryIon channelNeurotransmitter receptorVoltage-dependent calcium channelP-type calcium channelPacemaker potentialCalciumBiophysicsInterstitial cell of CajalNeuroscienceCell biologyEndocrinologyBiologyElectrophysiologyReceptorBiochemistry

Abstract

fetched live from OpenAlex

Interstitial cells of Cajal (ICC) are involved in generation of gut pacemaker activity, neurotransmission and stretch sensation. Pacemaker ICC exhibit spontaneous cyclic calcium oscillations that are in synchrony with its pacemaker activity. The spontaneous rhythmic inward currents in ICC that underlie gut pacemaker activity are linked to this calcium oscillation. It is probable that more than one type of channel contributes to the inward current with a high conductance chloride channel and a nonselective cation channel being the main candidates. The activation of these channels is linked to intracellular calcium cycling mechanism and involves inositol 1,4,5-trisphosphate (IP3)-mediated calcium release from the sarcoplasmic reticulum, and calcium uptake into mitochondria. This ion channel activity is modulated by signalling through neurotransmitter receptors, including the NK1 receptor. This finding and the presence of other neurotransmitter receptor mRNA transcripts indicates that ion channels in ICC are targets for neurotransmitter action. The ether-a-go-go-related (ERG) K channel is probably the most important K channel contributing to the resting membrane potential and excitability of the ICC. Many ion channels in ICC are regulated by second messenger systems which makes them highly susceptible to neurotransmitter modulation.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.038
GPT teacher head0.323
Teacher spread0.285 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations34
Published2004
Admission routes1
Has abstractyes

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