Characterizing Signals Associated with the pre-TCR during T Cell Development
Bibliographic record
Abstract
Developing T cells are subjected to a gauntlet of tests in the thymus to ensure a safe and effective T cell receptor (TCR) repertoire. β-selection, a checkpoint early in T cell development, tests the functionality of rearranged TCRβ chains. Cells with functional TCRβ chains receive pre-TCR signals, which promote survival, proliferation, differentiation, and maturation of the TCR. While the signals associated with the mature TCR have been carefully studied, those associated with the pre-TCR have not been well described. Thus, we sought to characterize the pre-TCR signals that occur during early T cell development. We first evaluated the role of pre-TCR signaling across early developmental stages. Sorted T cell progenitor populations were co-cultured with OP9-DL4 cells in the presence or absence of BAY61-3606, an inhibitor of the pre-TCR signaling-mediator, Syk. The effect on survival and developmental progression was tracked by flow cytometry over several days. Our data indicate that Syk-dependent pre-TCR signaling is important for cell survival and differentiation beyond the β-selection checkpoint. However, the dependence on Syk-mediated pre-TCR signals decreases with development and is not necessary by the immature single-positive stage. We subsequently characterized the duration and magnitude of pre-TCR signals. Fetal pre-β-selection thymocytes were loaded with a calcium-indicator dye and subjected to time-lapse imaging; calcium flux was analyzed over time in individual cells. Preliminary data indicate that pre-TCR signaling events in a polyclonal population are infrequent and characterized by low, sustained levels of intracellular calcium. Together, our findings describe the pre-TCR signals associated with early T cell development.
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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 | 0.001 | 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 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".