MétaCan
Menu
Back to cohort

The four and a half LIM domain protein 2 interacts with and regulates the HERG channel

2008· article· en· W1768502166 on OpenAlexaff
Jijin Lin, Shuguang Lin, Xiyong Yu, Patrick C. Choy, Xiuzhang Shen, Chunyu Deng, Su‐Juan Kuang, Jun Wu

Bibliographic record

VenueFEBS Journal · 2008
Typearticle
Languageen
FieldMedicine
TopicCardiac electrophysiology and arrhythmias
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordshERGCell biologyPotassium channelImmunoprecipitationIon channelProtein subunitHEK 293 cellsChemistryPatch clampBiologyBiochemistryBiophysicsGeneReceptor

Abstract

fetched live from OpenAlex

Protein-protein interactions are critical for protein trafficking, localization and the regulation of ion channels. The human ether-a-go-go-related gene (herg) encodes the alpha-subunit of the potassium channel underlying the rapid component of the cardiac delayed rectifier current. To identify the cellular proteins involved in the regulation of the HERG channel, a human heart cDNA library was screened using a yeast two-hybrid system, with the N-terminus of HERG as bait. The four and a half LIM domain protein 2 (FHL2) was identified as a potential HERG partner. The interaction between these two proteins was confirmed by co-immunoprecipitation and glutathione transferase pull-down assays and immunocytochemical analysis. The physiological implication of HERG-FHL2 interaction, assessed by whole-cell, patch-clamp electrophysiology experiments, showed a significant increase in the HERG current amplitude and a faster deactivation of the tail current in human embryonic kidney 293 cells co-expressing HERG and FHL2. These data indicate that FHL2 interacts with and regulates the HERG channel. Our findings may aid in the further understanding of the molecular basis of HERG channel diversity and arrhythmogenesis in the long-QT syndrome.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.534
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.011
GPT teacher head0.221
Teacher spread0.210 · 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 designObservational
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

Citations10
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueFEBS JournalSame topicCardiac electrophysiology and arrhythmiasFrench-language works237,207