Von Willebrand Factor Type A domain of hCLCA1 is sufficient for U-937 macrophage activation
Bibliographic record
Abstract
gene family that has a well-documented role in inflammatory airway diseases. Previously, we demonstrated that secreted hCLCA1 plays a role in regulating the innate immune response by activating airway macrophages. However, the mechanism of this regulation remains unclear. In this present study, recombinant proteins containing different hCLCA1 domains are expressed to determine the specific hCLCA1 domain(s) responsible for macrophage activation. Specifically, hCLCA1 constructs containing the hydrolase domain (HYD), the von Willebrand Factor Type A (VWA) domain, and the fibronectin type III (FN3) domain were heterologously expressed and affinity purified through fast protein liquid chromatography. Circular dichroism spectroscopy revealed that the purified hCLCA1 constructs exhibited secondary structure consistent with folded proteins. The VWA domain clearly demonstrated an ability to activate macrophages, inducing an increase in both IL-1β mRNA and protein expression. This activation was associated with the activation of MAPKs and NF-κB pathways, identifying potential mechanistic pathways by which hCLCA1's VWA domain exerts its signaling effect. Altogether, this work identifies a domain with signaling function within hCLCA1, providing a specific target to one of the most highly induced gene products of airway inflammatory disease.
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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) | 0.002 | 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".