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 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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".