Degree of ERK activation influences both positive and negative thymocyte selection
Bibliographic record
Abstract
Considerable evidence suggests that the ERK pathway is required for positive but not negative thymocyte selection. Here, we report that ERK is highly activated in double-positive (DP) thymocytes expressing an MHC class I-restricted TCR (P14) in response to negatively selecting conditions, whereas ligands that trigger positive selection induced weaker ERK activation. Biochemical evidence also shows that death by neglect is associated with a further reduction in ERK activation. These findings are consistent with the affinity / avidity model of thymocyte selection. To further examine the role of ERK in negative selection we used the MEK-1 inhitibor, PD98059, a specific pharmacological inhibitor of the ERK pathway. Biochemical data demonstrated a reduction of ERK activity by PD98059 in the presence of the negatively selecting ligand. Analysis of P14 TCR-transgenic fetal thymic lobes cultured with PD98059 under negatively selecting conditions showed impaired clonal deletion of DP thymocytes and a concomitant increase in positive selection of functional mature, TCR(hi) transgenic T cells. This demonstrates that altering ERK activity switched negative to positive selection. Contrary to previous reports that show an exclusive role for ERK signaling in positive selection, our data demonstrate that negative selection is also sensitive to the degree of ERK activation.
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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 | 0.000 |
| 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 | 0.001 |
| 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 | 0.000 |
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".