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Record W2587212019 · doi:10.1189/jlb.2vma1216-517r

Early tyrosine phosphorylation events following adenosine A2A receptor in human neutrophils: identification of regulated pathways

2017· article· en· W2587212019 on OpenAlexafffund
Miriam S. Giambelluca, Marc Pouliot

Bibliographic record

VenueJournal of Leukocyte Biology · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAdenosine and Purinergic Signaling
Canadian institutionsUniversité Laval
FundersCanadian Institutes of Health Research
KeywordsPhosphorylationBiologyCGS-21680SykForskolinTyrosine phosphorylationProtein kinase BAdenosineProtein tyrosine phosphataseSignal transductionTyrosineCell biologyMAPK/ERK pathwayAgonistBiochemistryReceptorAdenosine receptorTyrosine kinase

Abstract

fetched live from OpenAlex

Abstract Activation of the adenosine 2A receptor (A2AR) elevates intracellular levels of cAMP and acts as a physiologic inhibitor of inflammatory neutrophil functions. In this study, we looked into the impact of A2AR engagement on early phosphorylation events. Neutrophils were stimulated with well-characterized proinflammatory agonists in the absence or presence of an A2AR agonist {3-[4-[2-[[6-amino-9-[(2R,3R,4S,5S)-5-(ethylcarbamoyl)-3,4-dihydroxy-oxolan-2-yl]purin-2-yl]amino] ethyl] phenyl] propanoic acid (CGS 21680)}, PGE2, or a mixture of the compounds RO 20-1724 and forskolin. As assessed by immunoblotting, several proteins were tyrosine phosphorylated; CGS 21680 markedly decreased tyrosine phosphorylation levels of 4 regions (37–45, 50–55, 60, and 70 kDa). Key signaling protein kinases—p38 MAPK, Erk-1/2, PI3K/Akt, Hck, and Syk—showed decreased phosphorylation, whereas Lyn, SHIP-1, or phosphatase and tensin homolog (PTEN) was spared. PGE2 or the intracellular cAMP-elevating combination of RO 20-1724 and forskolin mostly mimicked the effect of CGS 21680. Together, results unveil intracellular signaling pathways targeted by the A2AR, some of which might be key in modulating neutrophil functions.

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)0.000
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 score0.232
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.020
GPT teacher head0.287
Teacher spread0.267 · 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

Citations24
Published2017
Admission routes2
Has abstractyes

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