Identification of an Atypical Grb2 Carboxyl-terminal SH3 Domain Binding Site in Gab Docking Proteins Reveals Grb2-dependent and -independent Recruitment of Gab1 to Receptor Tyrosine Kinases
Bibliographic record
Abstract
The Gab family of docking proteins is phosphorylated in response to various growth factors and cytokines and serves to recruit multiple signaling proteins. Gab1 acts downstream from the Met-hepatocyte growth factor receptor, and Gab1 overexpression promotes Met-dependent morphogenesis of epithelial cells. Recruitment of Gab1 to Met or epidermal growth factor (EGF) receptors requires a receptor-binding site for the Grb2 adapter protein and a proline-rich domain in Gab1, defined as the Met-binding domain. To determine the requirement for Grb2 in Gab1 recruitment, we have mapped two Grb2 carboxyl-terminal SH3 domain binding sites conserved in Gab1 and related protein Gab2. One corresponds to a canonical Grb2-binding motif, whereas the second, located within the Gab1 Met-binding domain, requires the proline and arginine residues of an atypical PXXXR motif. The PXXXR motif is required but not sufficient for Grb2 binding, whereas an extended motif, PX3RX2KPX7PLD, conserved in Gab proteins as well as the Grb2/Gads-docking protein, Slp-76, efficiently competes binding of Grb2 or Gads adapter proteins. The association of Gab1 with Grb2 is required for Gab1 recruitment to the EGF receptor but not the Met receptor. Hence different mechanisms of Gab1 recruitment may reflect the distinct biological functions for Gab1 downstream from the EGF and Met receptors.
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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) | 0.000 | 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) | 0.001 | 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".