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Record W1965850626 · doi:10.1139/y08-061

Staurosporine aglycone bilaterally regulates ERK1/2 phosphorylation in rat pulmonary arterial smooth muscle cells

2008· article· en· W1965850626 on OpenAlexvenueno aff
Jianing Zhang, Xiaobo Tang, Changlian Lu, Lei Guo, Shuang Zhang, Xiaojie Chu, Daling Zhu

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtein Kinase Regulation and GTPase Signaling
Canadian institutionsnot available
FundersNational Natural Science Foundation of ChinaHarbin Medical University
KeywordsStaurosporineProtein kinase CPhosphorylationActivator (genetics)MAPK/ERK pathwayKinaseMitogen-Activated Protein Kinase 3Protein kinase AMitogen-activated protein kinaseChemistryAglyconeEndocrinologyInternal medicineCell biologyBiologyMolecular biologyBiochemistryMedicineReceptorStereochemistry

Abstract

fetched live from OpenAlex

Staurosporine, a protein kinase C (PKC) inhibitor, has been reported to regulate the phosphorylation of ERK1/2 in several cell lines. It is still unknown, however, whether its derivative staurosporine aglycone (SA) has the same effect on ERK1/2 activation. In this study, we investigated the effect of SA on ERK1/2 activity in rat pulmonary arteries and pulmonary arterial smooth muscle cells (PASMCs). The pulmonary arteries and PASMCs were treated with SA at different time points and concentrations, and the activation of ERK1/2 was analyzed by Western blotting. The results showed that SA at nanomolar concentrations suppressed ERK1/2 phosphorylation through the PKC pathway alone, but SA at 30 micromol/L for 2 h enhanced the phosphorylation of ERK1/2. The activation of ERK1/2 was inhibited by the MAPK/ERK kinase inhibitor PD98059 or the protein kinase A (PKA) activator isoproterenol. Together, these results suggest that SA has a strong dual regulating effect on ERK1/2 through the PKC and (or) PKA pathways in rat PASMCs.

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)0.000
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 score0.055
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.009
GPT teacher head0.224
Teacher spread0.214 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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