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Record W2083156321 · doi:10.1139/o09-160

Choline kinase and its functionThis paper is one of a selection of papers published in this special issue entitled “Second International Symposium on Recent Advances in Basic, Clinical, and Social Medicine” and has undergone the Journal's usual peer review process.

2010· review· en· W2083156321 on OpenAlexafffundvenue
Gengshu Wu, Dennis E. Vance

Bibliographic record

VenueBiochemistry and Cell Biology · 2010
Typereview
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsMuscular dystrophyBiologyCholine kinaseGene isoformPhosphatidylcholineGeneGeneticsPhospholipid

Abstract

fetched live from OpenAlex

Choline kinase (CK) was discovered in 1953. Progress in understanding the function of CK was slow until its purification in 1984. The subsequent cloning and expression of the cDNA led to the description of the gene structures. Two genes encode choline kinase, Chka and Chkb, and 3 isoforms of the enzyme have been identified - CKalpha-1, CKalpha-2, and CKbeta - and the active form of CK is a hetero- or homo-dimer. More recently, gene-disrupted mice have been described. Mice that lack CKalpha die early in embryogenesis. In contrast, mice that lack CKbeta survive to adulthood, but develop hindlimb muscular dystrophy and forelimb bone deformity. It has been shown that this hindlimb muscular dystrophy is due to decreased biosynthesis of phosphatidylcholine and increased catabolism of phosphatidylcholine in the hindlimbs, but not the forelimbs, of mice. CK and its product phosphocholine have also been implicated in development of numerous cancers. Thus, a possible treatment for some kinds of cancer may involve drug inhibition of CK or targeting the expression of CK with RNA interference. In the mid 1950s it was clear that CK was important for the biosynthesis of phosphatidylcholine, but no one predicted a role for CK in muscular dystrophy, bone deformities, or cancer.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.969
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.044
GPT teacher head0.340
Teacher spread0.296 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations53
Published2010
Admission routes3
Has abstractyes

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