DARC and D6: silent partners in chemokine regulation?
Bibliographic record
Abstract
Chemokine receptors adorn the surface of leukocytes and other cell types ready to translate the extracellular chemokine environment into functional cellular outcomes. However, there are several molecules that, in many respects, look like chemokine receptors, but which do not have the ability to confer chemotactic potential to cell lines. This apparent silence spurred the search for signalling-independent functions and led to the development of new paradigms of chemokine regulation. In this review, we summarise the experimental basis for these ideas focussing on DARC and D6, the most studied members of this group of molecules. We discuss data generated using in vitro systems and genetically deficient mice, include results from observational human studies, and summarise the key findings of recent research. We take a critical look at current models of in vivo function highlighting important gaps in our knowledge and demonstrating that there is still much to find out about these enigmatic molecules.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.003 |
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".