Interaction of low molecular weight group IIA phospholipase A <sub>2</sub> with apoptotic human T cells: role of heparan sulfate proteoglycans
Bibliographic record
Abstract
ABSTRACT Human group IIA phospholipase A 2 (hIIA PLA 2 ) is a 14 kDa secreted enzyme associated with inflammatory diseases. A newly discovered property of hIIA PLA 2 is the binding affinity for the heparan sulfate proteoglycan (HSPG) glypican‐1. In this study, the binding of hIIA PLA 2 to apoptotic human T cells was investigated. Little or no exogenous hIIA PLA 2 bound to CD3‐activated T cells but significant binding was measured on activated T cells induced to undergo apoptosis by anti‐CD95. Binding to early apoptotic T cells was greater than to late apoptotic cells. The addition of heparin and the hydrolysis of HSPG by heparinase III only partially inhibited hIIA PLA 2 binding to apoptotic cells, suggesting an interaction with both HSPG and other binding protein(s). Two low molecular weight HSPG were coimmunoprecipitated with hIIA PLA 2 from apoptotic T cells, but not from living cells. Treatment of CD95‐stimulated T cells with hIIA PLA 2 resulted in the release of arachidonic acid but not oleic acid from cells and this release was blocked by heparin and heparinase III. Altogether, these results suggest a role for hIIA PLA 2 in the release of arachidonic acid from apoptotic cells through interactions with HSPG and its potential implication in the progression of inflammatory diseases.—Boilard, E., Bourgoin, S. G., Bernatchez, C., Poubelle, P. E., Surette, M. E. Interaction of low molecular weight group IIA phospholipase A 2 with apoptotic human T cells: role of heparan sulfate proteoglycans. FASEB J. 17, 1068–1080 (2003)
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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) | 0.003 | 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".