JNK2 negatively regulates CD8<sup>+</sup> T cell effector function and anti‐tumor immune response
Bibliographic record
Abstract
JNK1 and JNK2 have distinct effects on activation, differentiation and function of CD8+ T cells. Our early studies demonstrated that JNK1 is required for CD8+ T cell-mediated tumor immune surveillance. However, the role of JNK2 in CD8+ T cell response and effector functions, especially in anti-tumor immune response, is unknown. To define the role of JNK2 in antigen-specific immune response, we have investigated CD8+ T cells from OT-1 CD8+ transgenic mice in response to either high- or low-affinity peptides. JNK2-/- CD8+ T cells proliferated better in response to both peptides, with more cell division and less cell death. In addition, JNK2-/- CD8+ T cells produced higher levels of IFN-gamma, which is associated with increased expression of T-bet and Eomesodermin (Eomes). Moreover, JNK2-/- CD8+ T cells expresses high levels of granzyme B and show increased CTL activity. Finally, the enhanced expansion and effector function of JNK2-/- CD8+ T cells was further evidenced by their capacity to delay tumor growth in vivo. In summary, our results demonstrate that JNK2 negatively regulates antigen-specific CD8+ T cell expansion and effector function, and thus selectively blocking JNK2 in CD8+ T cells may potentially enhance anti-tumor immune response.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.001 | 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 teacher head, 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".