SDF-1 Induces IL-8 Production and Transendothelial Migration of Human Cord Blood-Derived Mast Cells
Bibliographic record
Abstract
BACKGROUND: Mast cell numbers and expression of chemokines are known to increase in the context of angiogenesis and inflammation, but the mechanisms by which this occurs are not understood. Stromal-derived factor-1 (SDF-1) is an important chemokine in angiogenesis and cell migration. The effects of SDF-1 on human mast cells were examined. METHODS: Expression of the SDF-1 receptor CXC chemokine receptor 4 (CXCR4) on mast cells was examined by RT-PCR and flow cytometry. The ability of labeled cord blood-derived mast cells to migrate across HUVEC monolayers in response to SDF-1 was determined. The cytokine and chemokine responses of cord blood-derived mast cells to SDF-1 treatment over 24 h were examined by ELISA. RESULTS: Cord blood-derived human mast cells expressed the CXCR4 receptor for SDF-1 and migrated across HUVEC monolayers in response to this chemokine. Treatment of cord blood-derived mast cells with SDF-1 did not induce degranulation or the production of several cytokines but did induce a highly selective IL-8 response. CONCLUSION: Human mast cells can both migrate across vascular endothelium and produce the pro-angiogenic chemokine IL-8 in response to SDF-1. These responses may be important in angiogenic processes.
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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) | 0.004 | 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".