Defective capacity of CD8+ memory T cells developed from absence of IL‐12 priming for secondary expansion
Bibliographic record
Abstract
In vivo CD8+ T cell responses consist of three main phases, namely: (i) a proliferation phase consisting of effector T cell clonal expansion, (ii) a contraction (transition) phase leading to the transition from the large population of effector T cells to a smaller population of long‐lived memory T (Tm) cells, and (iii) a maintenance phase involving Tm cell survival in the host. Recently, it has also been shown that IL‐12 priming during in vitro Ag stimulation changes properties of CD8+ T cells such as downregulation of CD69, alteration in the distribution of lipid rafts, a decrease in T cell receptor structural avidity and cytolytic activity. However, the potent functional property of CD8+ Tm cells without IL‐12 priming for secondary expansion upon Ag reencounter is still unclear.In this study, we attempted to clarify the role of IL‐12 by transferring the CD8+ effector T cells into wild‐type C57BL/6 and IL‐12 gene KO mice, respectively. Our findings showed that IL‐12 priming is important not only in CD8+ T cell clonal expansion in the proliferation phase, but also in generation of CD8+ Tm cells with the capacity of secondary expansion upon antigen re‐encounter. However, IL‐12 signaling is neither involved in CD8+ effector T cell survival in the transition phase nor in the CD8+ Tm cell's secondary expansion in recall responses.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".