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Record W2040441536 · doi:10.4161/chan.2.2.6231

Closed-state inactivation as a mechanism for decreased K current at low extracellular pH

2008· review· en· W2040441536 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueChannels · 2008
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsSimon Fraser University
FundersCanadian Institutes of Health ResearchHeart and Stroke Foundation of British Columbia and YukonHeart and Stroke Foundation of Canada
KeywordsChemistryBiophysicsExtracellularConductanceDepolarizationPotassium channelPatch clampMembrane potentialPotassiumCurrent (fluid)BiochemistryBiology

Abstract

fetched live from OpenAlex

Extracellular acidification regulates the biophysical properties of many voltage-gated potassium channels. Most often acidic pH reduces peak current and enhances current decay during depolarization. Here we review recent data from single channel and voltage clamp fluorimetry studies, which suggest that these two effects of protons are mediated by distinct kinetic processes. This new mechanistic insight directly demonstrates that whilst the enhanced decay of current observed with acidic pH is due to an accelerated entry of open channels into P/C-type inactivation, the main mechanism for the reduction in peak channel conductance is a stabilization of resting channels in closed-inactivated states. Thus acidic pH acts to reduce the mean burst time of conducting channels, as well as to prevent other channels from opening at all, and in so doing, reveals that both open- and closed-state inactivation processes can co-exist in K(V) channels.

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.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.974
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.043
GPT teacher head0.311
Teacher spread0.268 · 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