T Cell Factor 1 Suppresses CD103+ Lung Tissue-Resident Memory T Cell Development
Bibliographic record
Abstract
T cell factor 1 (Tcf1) promotes the central memory CD8 + T (T CM ) cell differentiation and stemness in lymphoid tissues after systemic infections. It remains unclear whether Tcf1 regulates the CD103 high tissue-resident memory CD8 + T (T RM ) cell formation in non-lymphoid tissues after mucosal infections. We find that Tcf1 is progressively decreased during lung T RM cell formation. Abrogation of transforming growth factor β (TGF-β) signaling is associated with a loss of CD103 + and reciprocal gain of Tcf1 + cells among T RM precursors in vivo . T-cell-specific ablation of Tcf7 enhances CD103 protein expression in T RM cells and precursors and increases T RM cell numbers after primary and secondary infections. Tcf1 directly binds to the Itgae (encoding CD103) locus and partly inhibits TGF-β-induced CD103 expression. Our study suggests that memory T cell tissue residency and homeostatic proliferation are reciprocally regulated by Tcf1. Tcf1 may play either immunosupportive or immunosuppressive roles in CD8 + T cells, depending on systemic or mucosal infections.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".