LZTR1 regulates epithelial MHC-I expression via NF-κB1 to modulate CD8+ T cells activation
Bibliographic record
Abstract
Abstract The role of CD8 + tissue-resident memory T (CD8 + T RM ) in inflammation is well established. However, the mechanisms by which CD8 + T RM cells are activated in tissues have remained elusive. Here, we show that Leucine zipper-like transcription regulator 1 (LZTR1), a substrate adaptor for cullin3 (CUL3) ubiquitin ligase complex, regulates CD8 + T RM activation and proliferation in cutaneous and colonic epithelia through modulation of major histocompatibility complex class I (MHC-I) expression in an NF-κB1-dependent manner. Mechanistically, LZTR1 modulates MHC-I transcription by regulating co-translational biogenesis of NF-κB1 (p50) in a ubiquitination-independent but proteasome-dependent manner through direct binding with ribosome and proteasome. Loss of LZTR1 leads to suppression of CD8 + T RM activation and proliferation and decreased production of IL-17A with blunting of inflammatory responses in both cutaneous and gut epithelia in vivo. In summary, these data identify LZTR1 as a novel regulator of CD8 + T RM function and provide insights into the mechanisms that drive and maintain CD8 + T-cell responses in epithelial-associated autoimmune diseases.
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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 | 0.001 |
| 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".