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Record W2000811532 · doi:10.1074/jbc.m300286200

Human CLK2 Links Cell Cycle Progression, Apoptosis, and Telomere Length Regulation

2003· article· en· W2000811532 on OpenAlexafffund
Ning Jiang, Claire Y. Bénard, Hania Kébir, Eric A. Shoubridge, Siegfried Hekimi

Bibliographic record

VenueJournal of Biological Chemistry · 2003
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsMontreal Neurological Institute and HospitalMcGill University
FundersCanadian Institutes of Health ResearchNatural Sciences and Engineering Research Council of CanadaMcGill UniversityHoward Hughes Medical Institute
KeywordsTelomereCell cycle progressionCell biologyApoptosisCell cycleBiologyGeneticsDNA

Abstract

fetched live from OpenAlex

Mutations in the clk-2 gene of the nematode Caenorhabditis elegans affect organismal features such as development, behavior, reproduction, and aging as well as cellular features such as the cell cycle, apoptosis, the DNA replication checkpoint, and telomere length. clk-2 encodes a novel protein (CLK-2) with a unique homologue in each of the sequenced eukaryotic genomes. We have studied the human homologue of CLK-2 (hCLK2) to determine whether it affects the same set of cellular features as CLK-2. We find that overexpression of hCLK2 decreases cell cycle length and that inhibition of hCLK2 expression arrests the cell cycle reversibly. Overexpression of hCLK2, however, renders the cell hypersensitive to apoptosis triggered by oxidative stress or DNA replication block and gradually increases telomere length. The evolutionary conservation of the pattern of cellular functions affected by CLK-2 suggests that the function of hCLK2 in humans might also affect the same organismal features as in worms, including life span. Surprisingly, we find that hCLK2 is present in all cellular compartments and exists as a membrane-associated as well as a soluble form.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0020.001

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 head0.020
GPT teacher head0.284
Teacher spread0.264 · 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

Citations44
Published2003
Admission routes2
Has abstractyes

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