Id3 is a critical mediator of lineage commitment and functional maturation of γδ-T cells (36.63)
Bibliographic record
Abstract
Abstract αβ and γδ T cells are thought to arise from a common precursor during development in the thymus. However, the basis for separation of these lineages is poorly understood. Previously, we showed that strong TCR signals promote γδ lineage choice, while weaker signals favor adoption of the αβ lineage. Here we show that the HLH factor Id3 plays a defining role in this process. We found that Id3 is required for strong TCR signals to both promote adoption of the γδ-fate and oppose the αβ-fate outcome. Importantly, the effects of Id3-deficiency on γδ lineage cells appear to differ depending on the γδ subset. In Id3-/- mice, development of the Vγ2 subset and Vγ3 dendritic epidermal T cell (DETC) subset are both reduced, while innate type NK γδ T cells bearing a Vγ1.1/Vδ6.3 TCR are dramatically expanded. Our analysis suggests that the γδ subsets whose development is impaired by Id3-deficiency are dependent on TCR signals of intermediate intensity. In contrast, those which are expanded (Vγ1.1Vδ6.3) in Id3-deficient mice may normally be deleted, perhaps by high-affinity ligand. In support this view, KN6 γδ TCR transgenic thymocytes normally deleted by high affinity ligand (T-10/22b) are rescued by Id3-defciency. Likewise, the junctional sequences of the TCR subunits of Vγ1.1Vδ6.3 T cells in Id3-/- exhibited almost no variation, suggesting strong selective pressure. These results indicate that Id3 not only in regulates fate selection, but also in shapes the γδ TCR repertoire.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".