Duration and Strength of Extracellular Signal-Regulated Kinase Signals Are Altered During Positive Versus Negative Thymocyte Selection
Why this work is in the frame
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Bibliographic record
Abstract
During thymocyte development, high-affinity/avidity TCR engagement leads to the induction of negative selection and apoptosis, while lower TCR affinity-avidity interactions lead to positive selection and survival. To elucidate how these extracellular interactions are translated into intracellular signals that distinguish between positive and negative selection, we developed a culture system in which naive double-positive thymocytes were either induced to differentiate along the CD8(+) lineage pathway or were triggered for clonal deletion. Using this system, we show that sustained low level activation of extracellular signal-regulated kinases (ERKs) promotes positive selection, whereas strong but transient ERK activation is coupled with negatively selecting stimuli. Importantly, similar ERK activation profiles were demonstrated during positive selection for strong agonist ligands presented at low concentrations or weak agonist ligands. This is consistent with the affinity/avidity model and a role for strong or weak agonists during positive selection. Surprisingly, the addition of a pharmacological inhibitor which blocks ERK activation prevented the induction of negative selection. These data suggest that the duration and strength of the TCR signal is involved in discriminating between positive and negative selection.
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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 it