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Record W121200013 · doi:10.1096/fasebj.21.6.a1411-a

KCNQ gene expression in the murine vasculature

2007· article· en· W121200013 on OpenAlexaff
Shuk Yin M. Yeung, Prashanth Sathiagnanam, James D. Moffatt, Vladimı́r Pucovský, Iain A. Greenwood

Bibliographic record

VenueThe FASEB Journal · 2007
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsRoyal College of Physicians and Surgeons of Canada
FundersBritish Heart Foundation
KeywordsActivator (genetics)Potassium channelChemistryContractilityAortaChannel blockerGene expressionInternal medicineCell biologyGenePharmacologyBiologyMedicineBiochemistry

Abstract

fetched live from OpenAlex

KCNQ2‐5 are considered to be only expressed by neurones. Ohya et al. (Circ Res., 92, –1023, 2003) showed that full length KCNQ1 and a C‐terminal truncated variant were expressed in murine portal vein (mPV), where it contributed to vascular contractility. However, recent studies revealed that murine aorta and various conduit arteries expressed KCNQ4 and KCNQ5 abundantly. The present study used similar techniques that reinvestigated KCNQ channel gene expression in the mPV and analysed further the role of KCNQ expression products (Kv7.1‐5) in the vasculature. Nested PCR experiments revealed that KCNQ genes in addition to Q1 were present in the mPV and this was confirmed by immunocytochemical experiments with antibodies against KCNQ4 expression products. A functional role for ion channels encoded by KCNQ2‐5 was supported by electrophysiological and functional experiments with retigabine, an activator of ion channels encoded by all KCNQ genes except KCNQ1 . Retigabine enhanced outward K + currents and relaxed spontaneous contractions of whole mPV. The KCNQ channel blocker XE991 contracted the aorta, carotid and femoral artery and the degree and rate of contraction was enhanced by contracting the tissue slightly with 0.1 μM phenylepherine. These data support a role for KCNQ channels in defining vascular reactivity. This work was supported by the British Heart Foundation.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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

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 head0.010
GPT teacher head0.259
Teacher spread0.249 · 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 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

Citations0
Published2007
Admission routes1
Has abstractyes

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