The hair cycle underlies regulation of Langerhans cell renewal
Bibliographic record
Abstract
ABSTRACT In the epidermis, Langerhans cells (LCs) provide an essential link between the innate and adaptive immune systems. They self-renew in situ and continuously transport antigen from skin to lymph node (LN) T cells in the steady state. The cyclic renewal of hair follicles (HF) causes profound alterations in the cutaneous microenvironment, however little is known about its impact on LC homeostasis. Here we show that mouse LCs developed normally in the absence of hair but perceived critical transition periods in the hair cycle. LCs underwent a proliferation burst during the HF growth phase (anagen). Reinitiation or abolishment of anagen as well as loss of the HF had direct consequences on LC self-renewal. Because dividing LCs were found close to the anagen HF, we searched for the proliferative signal within this structure and identified increased Il34 expression by HF stem cells and their progeny. Inhibition of the IL-34 receptor CSF-1R at the onset of anagen completely and specifically blocked LC proliferation. Altogether, our findings demonstrate that the hair cycle directly oversees LC self-renewal and migration.
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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".