Inducing P-Selectin Ligand Formation in CD8 T Cells: IL-2 and IL-12 Are Active In Vitro but Not Required In Vivo
Bibliographic record
Abstract
In vitro studies have demonstrated that IL-2 and IL-12 can support formation of P-selectin ligands (P-SelL) in activated T cells, ligands that are variably required for efficient lymphocyte recruitment to sites of inflammation. To ascertain whether these cytokines were required for P-SelL formation in vivo, TCR transgenic CD8 T cells specific for male Ag (HY) were transferred into male mice under conditions in which either IL-2 and/or IL-15 or IL-12Rp40 were absent. P-SelL formation at day 2 was unperturbed in HY-TCR IL-2(null) CD8 T cells responding in doubly deficient IL-2(null)IL-12(null) or IL-2(null)IL-15(null) male recipients. HY-specific CD8 T cell proliferative responses detected in both spleen and peritoneum occurred vigorously, but only splenic CD8 T cells up-regulated P-SelL, demonstrating that in vivo induction of P-SelL is an active, nonprogrammed event following T cell activation and that despite the efficacy of IL-2 and IL-12 in supporting P-SelL formation in vitro, these cytokines appear to be dispensable for this purpose in vivo.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".