Domain of hCLCA1 that is responsible for macrophage activation
Bibliographic record
Abstract
The CLCA gene family produces both secreted and membrane‐associated proteins that modulate ion‐channel function, drive mucus production and have a poorly understood pleiotropic effect on airway inflammation. The mechanism of how hCLCA1 regulates airway inflammation remains unclear. However, hCLCA1 is highly expressed in airway diseases in which alveolar macrophages’ are central to disease progression. Thus, it is possible that hCLCA1's role in airway inflammation is to regulate the immune response of macrophages. Previously, we showed that secreted hCLCA1 is able to activate macrophages, inducing them to express cytokines and to undertake a pivotal role in airway inflammation. In this study, we have purified the functional domains of hCLCA1, and we activated macrophages with these domains. There are three functional domains in hCLCA1 (hydrolase domain, von Willebrand type A domain, and fibronectin type III domain), and we found that one of these hCLCA1's domains significantly induced the expression of pro‐inflammatory cytokines in macrophages. To further investigate this activation, we have also found the cell signaling pathways that are involved in this activation Support or Funding Information Natural Sciences and Engineering Research Council (NSERC) 371364/2010 to MEL
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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) | 0.006 | 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".