ACKR4 on Stromal Cells Scavenges CCL19 To Enable CCR7-Dependent Trafficking of APCs from Inflamed Skin to Lymph Nodes
Bibliographic record
Abstract
Dermal dendritic cells and epidermal Langerhans cells are APCs that migrate from skin to draining lymph nodes (LN) to drive peripheral tolerance and adaptive immunity. Their migration requires the chemokine receptor CCR7, which directs egress from the skin via dermal lymphatic vessels and extravasation into the LN parenchyma from lymph in the subcapsular sinus. CCR7 is activated by two chemokines: CCL19 and CCL21. CCL21 alone is sufficient for the migration of APCs from skin to LN. CCL19 and CCL21 also bind atypical chemokine receptor (ACKR) 4. ACKR4-mediated CCL21 scavenging by lymphatic endothelial cells lining the subcapsular sinus ceiling stabilizes interfollicular CCL21 gradients that direct lymph-borne CCR7(+)APCs into the parenchyma of mouse LN. In this study, we show that ACKR4 also aids APC egress from mouse skin under steady-state and inflammatory conditions. ACKR4 plays a particularly prominent role during cutaneous inflammation when it facilitates Langerhans cell egress from skin and enables the accumulation of dermal dendritic cells in skin-draining LN. Stromal cells in mouse skin, predominantly keratinocytes and a subset of dermal lymphatic endothelial cells, express ACKR4 and are capable of ACKR4-dependent chemokine scavenging in situ. ACKR4-mediated scavenging of dermal-derived CCL19, rather than CCL21, is critical during inflammation, because the aberrant trafficking of skin-derived APCs inAckr4-deficient mice is completely rescued by genetic deletion ofCcl19 Thus, ACKR4 on stromal cells aids the egress of APCs from mouse skin, and, during inflammation, facilitates CCR7-dependent cell trafficking by scavenging CCL19.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".