Association of Grb2, Gads, and Phospholipase C-γ1 with Phosphorylated LAT Tyrosine Residues
Bibliographic record
Abstract
The linker for activation of T cells (LAT) is a critical adaptor molecule required for T cell antigen receptor (TCR)-mediated signaling and thymocyte development. Upon T cell activation, LAT becomes highly phosphorylated on tyrosine residues, and Grb2, Gads, and phospholipase C (PLC)-gamma1 bind LAT via Src homology-2 domains. In LAT-deficient mutant Jurkat cells, TCR engagement fails to induce ERK activation, Ca(2+) flux, and activation of AP-1 and NF-AT. We mapped the tyrosine residues in LAT responsible for interaction with these specific signaling molecules by expressing LAT mutants with tyrosine to phenylalanine mutations in LAT-deficient cells. Our results showed that three distal tyrosines, Tyr(171), Tyr(191), and Tyr(226), are responsible for Grb2-binding; Tyr(171), and Tyr(191), but not Tyr(226), are necessary for Gads binding. Mutation of Tyr(132) alone abolished PLC-gamma1 binding. Mutation of all three distal tyrosines also abolished PLC-gamma1 binding, suggesting there might be multiple binding sites for PLC-gamma1. Mutation of Tyr(132) affected calcium flux and blocked Erk and NF-AT activation. Since Grb2 binding is not affected by this mutation, these results strongly suggest that PLC-gamma activation regulates Ras activation in these cells. Mutation of individual Grb2 binding sites had no functional effect, but mutation of two or three of these sites, in combination, also affected Erk and NF-AT activation.
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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 | 0.000 |
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 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".