Increased FITC fluorescence on LPS stimulated neutrophils cultured in whole blood
Bibliographic record
Abstract
Recently, it has been observed that Annexin V labelling of phosphatidylserine (PS) on non-apoptotic cells can vary in different leukocyte populations and with the activation of cells, due to differences in the absolute level of exposed PS. We have also observed changes in the absolute level of Annexin V-FITC intensity, but under conditions where absolute PS expression did not change. In the present study, we have explored the effect of neutrophil cell activation on Annexin V-FITC fluorescence intensity by comparing alternatively labelled matched antibodies against Annexin V. Human venous whole blood was cultured with and without stimulation with lipopolysaccharide (LPS). Apoptosis in the neutrophil and lymphocyte populations was analyzed by flow cytometry and the intensity of FITC labelling was compared to matched fluorochromes conjugated to the same cell surface markers. There was an increase in the intensity of Annexin V-FITC in non-apoptotic neutrophils when stimulated with LPS, which did not correlate with increased apoptosis. Furthermore, CD65-FITC intensity also increased on activated neutrophils. Activated neutrophils exhibited higher amounts of FITC fluorescence that were not associated with changes in extracellular PS expression. This effect appears to be fluorochrome related, likely due to an increase in the pH surrounding activated neutrophils.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".