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Regulation of K<sup>+</sup>current in human airway epithelial cells by exogenous and autocrine adenosine

2001· article· en· W2274304862 on OpenAlexaff
Artur Szkotak, Amy M.L. Ng, Jolanta Sawicka, Stephen A. Baldwin, S. F. Paul Man, Carol E. Cass, James D. Young, Marek Duszyk

Bibliographic record

VenueAmerican Journal of Physiology-Cell Physiology · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdenosine and Purinergic Signaling
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAdenosineNucleosideAdenosine receptorAdenosine A2B receptorNucleoside transporterPurinergic signallingReceptorIon transporterAutocrine signallingIon channelCell biologyBiologyTransporterChemistryBiochemistryBiophysicsAgonistMembrane

Abstract

fetched live from OpenAlex

The regulatory actions of adenosine on ion channel function are mediated by four distinct membrane receptors. The concentration of adenosine in the vicinity of these receptors is controlled, in part, by inwardly directed nucleoside transport. The purpose of this study was to characterize the effects of adenosine on ion channels in A549 cells and the role of nucleoside transporters in this regulation. Ion replacement and pharmacological studies showed that adenosine and an inhibitor of human equilibrative nucleoside transporter (hENT)-1, nitrobenzylthioinosine, activated K(+) channels, most likely Ca(2+)-dependent intermediate-conductance K(+) (I(K)) channels. A(1) but not A(2) receptor antagonists blocked the effects of adenosine. RT-PCR studies showed that A549 cells expressed mRNA for I(K)-1 channels as well as A(1), A(2A), and A(2B) but not A(3) receptors. Similarly, mRNA for equilibrative (hENT1 and hENT2) but not concentrative (hCNT1, hCNT2, and hCNT3) nucleoside transporters was detected, a result confirmed in functional uptake studies. These studies showed that adenosine controls the function of K(+) channels in A549 cells and that hENTs play a crucial role in this process.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.236
Teacher spread0.230 · 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

Citations39
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Physiology-Cell PhysiologySame topicAdenosine and Purinergic SignalingFrench-language works237,207