Epidermal Notch1 recruits innate lymphoid cells to orchestrate normal skin repair
Bibliographic record
Abstract
Skin constitutes a barrier between our body and outside environment providing the first line defence against microbial infection. Epithelial repair and skin wound healing starts with inflammation to clear up invading pathogens and debris followed by cell proliferation and tissue remodelling. The immune response is vital for protecting the body from infection and diseases, however, it remains controversial whether the immune cells contribute to wound closure and tissue repair, or cause scarring and pathology. In this thesis, I investigate the role of Notch signalling in epithelial tissue repair. I demonstrate Notch1 signalling activation in epidermal keratinocytes following acute skin injury recruits innate lymphoid cells (i.e. ILC3s) to the site of injury in a TNF-α/CCL20-dependent mechanism and controls macrophage/monocyte recruitment via ILC3-dependent CCL3. Notch1 also induces epidermal production of IL23 which facilitates ILC3s to produce IL22 for re-epithelialization and skin repair.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".