DNA Methylation Regulates RGS2-induced S100A12 Expression in Airway Epithelial Cells
Bibliographic record
Abstract
RGS2 is a key modulator of stress in human airway epithelial cells, especially of hyperresponsiveness and mucin hypersecretion, both of which are features of cystic fibrosis (CF). Because its expression can be modulated through the DNA methylation pathway, we hypothesize that RGS2 is downregulated by DNA hypermethylation in CF airway epithelial cells. This downregulation would then lead to an enhanced inflammatory response. We demonstrated RGS2 transcript and protein downregulation in cultured airway epithelial cells from patients with CF and validated our findings in two CF epithelial cell lines. A methylated DNA immunoprecipitation array showed the presence of methylated cytosine on 13 gene promoters in CF. Among these genes, we confirmed that the RGS2 promoter was hypermethylated by using bisulfite conversion coupled with a methylation-specific PCR assay. Finally, we showed that downregulation of RGS2 in non-CF cells increased the expression of S100A12, a proinflammatory marker. These results highlight the importance of epigenetic regulation in gene expression in CF and show that RGS2 might modulate the inflammatory response in CF through DNA methylation control.
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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".