Proteinase‐activated receptor‐2 up‐regulation by Fcγ‐receptor activation in human neutrophils
Bibliographic record
Abstract
We shed new light on the expression and function of the proteinase-activated receptor (PAR) family, associated with inflammation and hyperalgesia, in human granulocytes. Resting cells expressed constitutive levels of PAR-2 and PAR-3 mRNA but not PAR-1 or PAR-4. Based on flow cytometry, stimulation with opsonized bacteria (Bop) specifically up-regulated cell surface expression of PAR-2 in a concentration-dependent and time-dependent manner, independent of transcription or de novo protein synthesis. Primary granules were identified as a source of preformed PAR-2 that can readily be mobilized at the surface on fusion with the plasma membrane. Cellular response to PAR-2 activation, measured as changes in intracellular calcium concentration, was enhanced in PAR-2 up-regulated cells. Increase of cell-surface PAR-2 and of cell responsiveness were dependent specifically on the engagement of immunoglobulin (Ig)-binding receptors. Together, our results reveal that mobilization of intracellular granules, in response to Ig-receptor activation, up-regulates PAR-2 surface expression and makes neutrophils more responsive to proteinase activity. This enhanced response to PAR-2 activation indicates that molecular communication between pain and inflammation may be more important than previously believed.
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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 | 0.000 |
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.
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".