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Abstract 5553: S100A1 Modulates Endothelial Nitric Oxide Availability by Co-ordinate Regulation of Nitric Oxide Synthase Phosphorylation and Gene Expression of Related Signaling Molecules

2009· article· en· W1029955853 on OpenAlexaff
Krystyna Teichert-Kuliszewska

Bibliographic record

VenueCirculation · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicS100 Proteins and Annexins
Canadian institutionsSt. Michael's Hospital
Fundersnot available
KeywordsEndothelial nitric oxide synthaseNitric oxideNitric oxide synthasePhosphorylationMedicineCell biologySignal transductionCell signalingGene expressionNitric Oxide Synthase Type IIIGenePharmacologyBiochemistryInternal medicineBiology

Abstract

fetched live from OpenAlex

Background: S100A1, a Ca 2+ -sensor protein in endothelial cell, regulates endothelial function. S100A1 knockout mice (KO) are hypertensive with impaired nitric oxide (NO) production and endothelial-dependent vasodilatation. We examine the impact of S100A1 on phosphorylation of Ser 1177 and Thr 495 , positive and negative regulatory residues, respectively, in endothelial nitric oxide synthase (eNOS) and on expression of diverse genes involved in eNOS signaling. Methods and Results: Endothelial cells (EC) were isolated and from pulmonary vasculature of wild-type (WT) and KO mice. WT EC exhibited higher proliferative rates than KO measured by WST-method, and expressed as absorbance/5000 cells/well (0.8923±0.091 vs. 0.268±0.055, p<0.05, n=3) and higher NO production (2214.00±1016.17 vs. 566.75±243.79 nM, p<0.05, n=6). Lower eNOS activity in KO was associated with higher and lower basal phosphorylation at Thr 495 and Ser 1177 , respectively. Bradykinin (100 nM) resulted in rapid (1 minute) 3-fold higher maximal phosphorylation of Ser 1177 in WT vs. KO with equivalent rapid dephosphorylation of Thr 495 in both cell types. By contrast, acetylcholine (10 μ M) at 30 seconds produced more robust dephosphorylation of Thr 495 in WT compared to KO, with comparable effects on Ser 1177 phosphorylation. In KO versus WT EC, PCR microarray analysis demonstrated greater than 2-fold increase in mRNA expression of caveolin-1, NADPH oxidase 1, glutathione peroxidase, and calmodulin-1. KO EC exhibited a 5-fold reduction in eNOS mRNA, confirmed by a reduction in eNOS protein (4.02±0.19 fold, n=3). Conclusion: Absence of S100A1 in endothelial cells results in impaired proliferation, decreased NO availability, and regulation of gene expression that contributes or, alternately, compensates for this phenotype. Lack of S100A1 also impairs co-ordinated eNOS phosphorylation at baseline, and in response to agonists, that augments NO production. Thus, S100A1 plays a multifactorial and novel role in controlling NO synthesis and the endothelial phenotype.

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 score0.007
Threshold uncertainty score0.024

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 integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.002

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 head0.008
GPT teacher head0.226
Teacher spread0.218 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

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