Functional Cooperation between c-Cbl and Src-Like Adaptor Protein 2 in the Negative Regulation of T-Cell Receptor Signaling
Bibliographic record
Abstract
Adaptor proteins assemble multiprotein signaling complexes, enabling the transduction of intracellular signals. While many adaptor proteins positively regulate signaling in this manner, a subgroup of adaptors function as negative regulators. Here we report the identification of a hematopoiesis-specific adaptor protein that we have designated Src-like adaptor protein 2 (SLAP-2). SLAP-2 is most closely related to SLAP and contains a Src homology 3 (SH3) domain and an SH2 domain, as well as an amino-terminal myristoylation site that mediates SLAP-2 association with membranes. Following stimulation of primary thymocytes with anti-CD3 and anti-CD28, SLAP-2 coimmunoprecipitates with tyrosine-phosphorylated c-Cbl and an unidentified protein of approximately 72 kDa. In activated Jurkat T cells, SLAP-2 also binds an additional 70-kDa phosphoprotein, identified as ZAP-70. Binding of SLAP-2 to both p72 and ZAP-70 is dependent on its SH2 domain, while c-Cbl interacts with the carboxy-terminal region. Overexpression of wild-type SLAP-2 alone or in combination with c-Cbl in Jurkat T cells leads to inhibition of T-cell antigen receptor-induced activation of nuclear factor of activated T cells. The inhibitory effect of SLAP-2 requires the carboxy-terminal c-Cbl binding region. Expression of SLAP-2 with SYK or ZAP-70 in COS cells or Jurkat T cells causes the degradation of these kinases, and SLAP-2 overexpression in Jurkat T cells reduces the surface expression of CD3. These results suggest that the mechanism of action of SLAP-2 and the related protein SLAP is to promote c-Cbl-dependent degradation of the tyrosine kinases SYK and ZAP-70 and down-regulation of CD3 at the cell surface.
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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 | 0.000 | 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) | 0.000 | 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".