Mediator complex maintains peripheral T cell tolerance through enforcement of the quiescence module
Bibliographic record
Abstract
Abstract T cell tolerance has traditionally been thought to be maintained at stages after T cell receptor mediated activation either through anergy, exhaustion, contraction or T Regulatory cell mediated dominant suppression. Prior to these mechanisms, however, T cell quiescence is the main factor maintaining T cell tolerance. We have identified Mediator Complex Subunit 1 (Med1), as a novel factor responsible for enforcing T cell quiescence. Mice with T cell specific deletion of Med1 display increased levels of T cell activation despite having a normally functional T Regulatory cell compartment. Med1-deficient T cells were more responsive to T cell receptor mediated activation. Bone marrow chimeras revealed Med1 controls T cell quiescence in a cell intrinsic manner. Bulk and single cell transcriptome sequencing revealed Med1’s transcriptional control over key quiescence factors. By analyzing previously published chromatin immunoprecipitation sequencing we found Med1 controlled a transcription factor network rather than direct quiescence molecules. Med1 is a novel factor responsible for actively enforcing the transcriptional network maintaining T cell quiescence. Supported by T32DK007169 R01CA257520 R01CA232347
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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 | 0.000 |
| 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".