The role of chromatin organizer Satb1 in shaping TCR repertoire in adult thymus
Bibliographic record
Abstract
T cells recognize the universe of foreign antigens with a diverse repertoire of T cell receptors generated by V(D)J recombination. Special AT-rich binding protein 1 (Satb1) is a chromatin organizer that plays an essential role in T cell development. Previous study has shown that Satb1 regulates the re-induction of recombinase Rag1 and Rag2 in CD4+CD8+ thymocytes, affecting the secondary rearrangement of the Tcra gene. Here, we detected the repertoires of four TCR genes, Tcrd, Tcrg, Tcrb, and Tcra, in the adult thymus, and explored the role of the Satb1 in shaping the TCR repertoires. We observed a strong bias in the V and J gene usages of the Tcrd and Tcrg repertoires in WT and Satb1-deleted thymocytes. Satb1 deletion had few effects on the V(D)J rearrangement and repertoire of the Tcrg, Tcrd, and Tcrb genes. The Tcra repertoire was severely impaired in Satb1-deleted thymocytes, while the primary rearrangement was relatively normal. We also found the CDR3 length of TCRα chain was significantly longer in Satb1-deleted thymocytes, which can be explained by the strong bias of the proximal Jα usage. Our results showed that Satb1 plays an essential role in shaping TCR repertoires in αβ T cells.
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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 | 0.000 |
| 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".