Id3 is a critical regulator of γδ-T cell development (153.41)
Bibliographic record
Abstract
Abstract αβ and γδ T cells are thought to arise from a common precursor during development in the thymus. Previously, we have shown that αβ/γδ lineage choice is dictated by differences in T cell receptor (TCR) signal strength defined by differential activation of the ERK-Egr-Id3 pathway. In particular, 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 T cell development differ depending on the γδ subset. While Id3-deficiency impairs the development of the Vγ2-expressing and Vγ3 dendritic epidermal T cell (DETC) subsets, it results in the dramatic expansion of Vγ1.1Vδ6.3 T cells which are thought to be innate type NK γδ T cells. Fetal thymic organ culture analysis indicates that Id3-deficiency blocks DETC development by interfering with selection in the thymus, not by blocking expression of the canonical DETC TCR complex. Conversely, single-cell PCR analysis has revealed that the junctional diversity of CDR3s of the Vγ1.1Vδ6.3 expressing cells that are expanded in Id3-deficient mice exhibit evidence of ligand-mediated selection. These results are consistent with the notion that development of these cells is normally restricted by ligand-engagement, but this restriction is disabled in the absence of Id3. Altogether, these results indicate that Id3 plays a critical role not only in regulating fate selection, but also in shaping the γδ TCR repertoire.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.003 | 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".