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Mechanisms of Lysophosphatidic Acid–induced DNA Synthesis in Vascular Smooth Muscle Cells

2003· article· en· W2322939768 on OpenAlexaff
Yan‐Jun Xu, Satyajeet S. Rathi, Donald Chapman, Amarjit S. Arneja, Naranjan S. Dhalla

Bibliographic record

VenueJournal of Cardiovascular Pharmacology · 2003
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSphingolipid Metabolism and Signaling
Canadian institutionsUniversity of ManitobaSt. Boniface Hospital
Fundersnot available
KeywordsLysophosphatidic acidDNA synthesisVascular smooth muscleKinaseMAPK/ERK pathwayp38 mitogen-activated protein kinasesPhosphataseSignal transductionCell biologyProtein kinase CBiologyBiochemistryMolecular biologyChemistryDNAPhosphorylationEndocrinologyReceptor

Abstract

fetched live from OpenAlex

In order to investigate the signal transduction mechanisms of lysophosphatidic acid (LPA)-induced vascular smooth muscle (VSM) DNA synthesis, rat aortic A10 cells were used as an experimental model and [ H]-thymidine incorporation was used as an index of DNA synthesis. LPA caused dose- and time-dependent increase in DNA synthesis in A10 VSM cells. LPA (10 microM) also stimulated the activity of casein kinase II (CKII) in a time-dependent manner. The inhibitors of CKII, daidzein and 5,6-dichlorobenzimidazole riboside, diminished the LPA-induced increase in CKII activity and DNA synthesis. The LPA-stimulated activities of extracellularly regulated kinases (ERK) and p38 kinases as well as the stimulatory effects of LPA on DNA synthesis were blocked by ERK inhibitor, PD98059, and p38 kinase inhibitor, SB203580. The LPA-induced increase in intracellular free Ca and the LPA-induced DNA synthesis were not affected by Ca channel blockers, verapamil and diltiazem, as well as a Ca -dependent protein phosphatase (calcineurin) inhibitor, cyclosporine A. These data suggest that the LPA-induced DNA synthesis in VSM cells may be mediated by a signal transduction mechanism involving CKII, ERK, and p38 K.

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)0.003
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score0.937

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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)0.0000.000

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 head0.010
GPT teacher head0.235
Teacher spread0.224 · 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 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

Citations28
Published2003
Admission routes1
Has abstractyes

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