CD11d β2 integrin expression on human NK, B, and γδ T cells
Bibliographic record
Abstract
Abstract The CD11d integrin is expressed on the cell surface of leukocytes that belong to the myeloid lineage, but its expression on lymphocytes remains unexplored. To test the hypothesis that CD11d is expressed on lymphocyte subsets, we employed a multicolor flow cytometry panel to identify CD11d expression on B, NK, CD4+ and CD8+ αβ T cells (αβTc), and γδ T cells (γδTc) in human PBMC samples. CD11d was highly expressed on NK cells, B cells, and γδTc, but not αβTc. CD11d expression was higher on freshly isolated γδTc compared with αβTc from healthy donors, yet both inter- and intradonor variability was evident. Over time in primary culture, we consistently observed higher CD11d levels on γδTc compared with αβTc from the same donor. Furthermore, CD11d expression on γδTc increased over time and correlated with levels of IL-2 supplementation. Of interest, a greater percentage of Vδ1 γδTc expressed CD11d than did Vδ2 γδTc, which suggested differential roles for this integrin that may segregate with γδTc subsets. These results expand the potential for CD11d to regulate lymphocyte migration and tissue retention, and illuminate the possibility of a previously unconsidered role for CD11d in leukocyte biology and disease.
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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".