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Protein kinase C is involved in enhanced airway smooth muscle cell growth in hyperresponsive rats

2000· article· en· W2342641238 on OpenAlexaff
Mary Zacour, James G. Martin

Bibliographic record

VenueAmerican Journal of Physiology-Lung Cellular and Molecular Physiology · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicReceptor Mechanisms and Signaling
Canadian institutionsMcGill University
Fundersnot available
KeywordsProtein kinase CKinaseCell growthCell biologyProtein kinase AThreoninePhosphorylationBlotChemistryBiologyMolecular biologyBiochemistrySerine

Abstract

fetched live from OpenAlex

Fischer rat airway smooth muscle (ASM) models two potential risk factors for asthma: hyperresponsiveness to contractile agonists and to growth stimuli. The aim of this study was to identify the mechanisms responsible for enhanced ASM mitogenic response in Fischer rats compared with the control Lewis strain. The enhanced Fischer ASM cell growth response to fetal bovine serum (FBS) could not be accounted for by phospholipase C, mitogen-activated protein kinases, or tyrosine kinase activities as assessed by pharmacological inhibition and Western blotting. In contrast, depletion of phorbol ester-sensitive isoforms of the serine/threonine kinase protein kinase C (PKC) removed the difference in growth response between the rat strains. Additionally, FBS selectively induced serine/threonine phosphorylation of a 115-kDa protein in Fischer ASM cells. Enhanced activation of PKC-betaI and decreased activation of PKC-delta in Fischer compared with Lewis cells following FBS stimulation were suggested by Western blotting of membrane and cytosolic fractions. The data are consistent with a role for PKC in the enhanced ASM cell growth of hyperresponsive rats.

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
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.003
GPT teacher head0.206
Teacher spread0.203 · 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

Citations15
Published2000
Admission routes1
Has abstractyes

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Same venueAmerican Journal of Physiology-Lung Cellular and Molecular PhysiologySame topicReceptor Mechanisms and SignalingFrench-language works237,207