The Src-like Adaptor Protein 2 Regulates Colony-stimulating Factor-1 Receptor Signaling and Down-regulation
Bibliographic record
Abstract
Src-like adaptor protein 2 (SLAP-2) is a hematopoietic adaptor protein previously implicated as a negative regulator of T-cell antigen receptor (TCR)-mediated signaling. SLAP-2 contains an SH3 and an SH2 domain, followed by a unique carboxyl-terminal tail, which is important for c-Cbl binding. Here we describe a novel role for SLAP-2 in regulation of the colony-stimulating factor 1 receptor (CSF-1R), a receptor tyrosine kinase important for growth and differentiation of myeloid cells. SLAP-2 co-immunoprecipitates with c-Cbl and CSF-1R in primary bone marrow-derived macrophages. Using murine myeloid cells expressing CSF-1R (FD-Fms cells), we show that SLAP-2 is tyrosine-phosphorylated upon stimulation with CSF-1 and associates constitutively with both c-Cbl and CSF-1R. In addition, we show that expression of a dominant negative form of SLAP-2 impairs c-Cbl association with the CSF-1R and receptor ubiquitination. Impaired c-Cbl recruitment also correlated with changes in the kinetics of CSF-1R down-regulation and trafficking. CSF-1-mediated differentiation of FD-Fms cells and activation of downstream signaling events was also enhanced in cells stably expressing dominant negative SLAP-2. Together, these results demonstrate that SLAP-2 plays a role in c-Cbl-dependent down-regulation of CSF-1R signaling.
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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) | 0.001 | 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".