Psmb11 molds the transcriptome of cortical TECs and CD8 thymocytes
Bibliographic record
Abstract
Abstract Psmb11 is a catalytic subunit of the thymoproteasome, expressed exclusively in cTECs (cortical thymic epithelial cells). It has been shown that Psmb11-mediated positive selection is pivotal for the generation of an immunocompetent T-cell repertoire. We found that lack of Psmb11 results in a suite of gene expression changes in cTECs and not in mTECs, about 200 genes with enrichment in cell-cell interaction and antigen processing and presentation. One yet unsolved question is why the cellularity of CD8+ single-positive (SP8) but not SP4 thymocytes decreases strongly as a consequence of Psmb11-deficiency. Our transcriptomic analyses of pure SM, M1 and M2 subsets of developing SP4 and SP8 T cells show that the maturation of SP4 cells is essentially independent of Psmb11. However SP8 thymocytes present a dysregulated development with impaired migration, survival and lineage commitment in Psmb11 knock-out mice, also detected at the protein level by flow-cytometry. Thymocytes present decreased surface levels of CD127 on SP8 and slightly increased CD5 on all subsets. This indicates a stronger activation of the developing T cells, which alone cannot explain the impact on the SP8 cellularity. We have identified a novel role of Psmb11 in modulating, directly or indirectly, the expression of genes in cTECs, which is necessary to guide and complete the positive selection of SP8 thymocytes.
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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".