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Record W1626950124

HERG K+ channel, a regulator of tumor cell apoptosis and proliferation.

2002· article· en· W1626950124 on OpenAlexaff
Huizhen Wang, Yiqiang Zhang, Liwen Cao, Ho Jae Han, Jingxiong Wang, Baofeng Yang, Stanley Nattel, Zhiguo Wang

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicIon channel regulation and function
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordshERGApoptosisCancer researchBiologyCell biologyImmunostainingTumor necrosis factor alphaRegulatorTranscription factorPotassium channelCell growthProgrammed cell deathChemistryEndocrinologyImmunologyGeneBiochemistryImmunohistochemistry
DOInot available

Abstract

fetched live from OpenAlex

The human ether-a-go-go related gene (HERG) encodes K+ channel identified as a molecular target for mutations underlying some forms of the long Q-T syndrome, a lethal cardiac arrhythmia. Recent studies revealed that HERG is abundantly expressed in a variety of tumor cells. Yet, the role of HERG in tumor cells had remained unclear. Here, we show that HERG conductance markedly promotes H2O2-induced apoptosis of various tumor cells, whereas HERG expression facilitates the tumor cell proliferation caused by tumor necrosis factor (TNF) ligand (TNF-alpha). Immunostaining and immunocoprecipitation reveal coexpression of HERG and TNF receptor 1 on the cytoplasmic membrane, which is correlated with greater activities of nuclear transcription factor, nuclear factor-kappaB, in HERG-expressing tumor cells. Our data suggest that HERG K+ channel is a regulator of tumor cell proliferation and apoptosis and provide a potential new target for cancer therapy.

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 score0.003

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.184
Teacher spread0.169 · 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

Citations229
Published2002
Admission routes1
Has abstractyes

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