Biochemical and Genetic Evidence for a SAP-PKC-θ Interaction Contributing to IL-4 Regulation
Bibliographic record
Abstract
Signaling lymphocytic activation molecule-associated protein (SAP), an adaptor molecule that recruits Fyn to the signaling lymphocytic activation molecule (SLAM) family of immunomodulatory receptors, is mutated in X-linked lymphoproliferative disease. CD4(+) T cells from SAP-deficient mice have defective TCR-induced and follicular Th cell IL-4 production and impaired T cell-mediated help for germinal center formation; however, the downstream intermediates contributing to these defects remain unclear. We previously found that SAP-deficient CD4(+) T cells exhibit decreased protein kinase C (PKC)-theta recruitment upon TCR stimulation. We demonstrate in this paper using GST pulldowns and coimmunoprecipitation studies that SAP constitutively associates with PKC- in T cells. SAP-PKC-theta interactions required R78 of SAP, a residue previously implicated in Fyn recruitment, yet SAP's interactions with PKC-theta occurred independent of phosphotyrosine binding and Fyn. Overexpression of SAP in T cells increased and sustained PKC-theta recruitment to the immune synapse and elevated IL-4 production in response to TCR plus SLAM-mediated stimulation. Moreover, PKC-theta, like SAP, was required for SLAM-mediated increases in IL-4 production, and, conversely, membrane-targeted PKC-theta mutants rescued IL-4 expression in SAP(-/-) CD4(+) T cells, providing genetic evidence that PKC-theta is a critical component of SLAM/SAP-mediated pathways that influence TCR-driven IL-4 production.
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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 | 0.000 | 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".