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Record W2063035654 · doi:10.1016/s0014-5793(00)01521-0

α‐Actinin‐2 couples to cardiac Kv1.5 channels, regulating current density and channel localization in HEK cells

2000· article· en· W2063035654 on OpenAlexafffund
Neil D. Maruoka, David F. Steele, Billie P.-Y Au, Pauline Dan, Xue Zhang, Edwin D.W. Moore, David Fedida

Bibliographic record

VenueFEBS Letters · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsUniversity of British Columbia
FundersMedical Research CouncilMedical Research Council Canada
KeywordsHEK 293 cellsCell biologyActin cytoskeletonCytoskeletonIon channelGatingActinActininBiologyChemistryBiophysicsReceptorBiochemistryCell

Abstract

fetched live from OpenAlex

Voltage-gated K(+) (Kv) channels are particularly important in the physiology of excitable cells in the heart and the brain. PSD-95 is known to cluster Shaker channels and NMDA receptors and the latter is known to couple through alpha-actinin-2 to the post-synaptic cytoskeleton [Wyszynski et al. (1997) Nature 385, 439-442], but the mechanisms by which Kv channels are linked to the actin cytoskeleton and clustered at specific sites in the heart are unknown. Here we provide evidence that Kv1.5 channels, widely expressed in the cardiovascular system, bind with alpha-actinin-2. Human Kv1.5 interacts via its N-terminus/core region and can be immunoprecipitated with alpha-actinin-2 both after in vitro translation and from HEK cells expressing both proteins. The ion channels and alpha-actinin-2 co-localize at the membrane in HEK cells, where disruption of the actin cytoskeleton and antisense constructs to alpha-actinin-2 modulate the ion and gating current density.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.011
GPT teacher head0.227
Teacher spread0.217 · 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

Citations103
Published2000
Admission routes2
Has abstractyes

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