Early tyrosine phosphorylation events following adenosine A2A receptor in human neutrophils: identification of regulated pathways
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".