Migration of the contractile phenotype of human airway smooth muscle cells in response to supernatants from rhinovirus infected human bronchial epithelial cells
Bibliographic record
Abstract
Primary HBE cells were cultured in growth medium until confluent, pre-treated with 1% insulin, transferrin, and selenium (ITS) medium for 24 hours and then stimulated with media-control or purified HRV-16. The ASM D9 cell-line was obtained from Dr. Andrew Halayko’s laboratory and cultured in T-175 flasks in 10% serum containing Dulbecco's Modified Eagle Medium (DMEM; Gibco; secretory phenotype) or 1% ITS F-12 media (Gibco; contractile) until they reach ~90-100% confluence. HBEC supernatants were used as chemo-attractants for ASM (4hrs) migration through 8 μm pore polycarbonate filter in a 48-well Boyden Chamber. Migrated cells on filter were fixed/stained via Diff-quick and counted at 200x view. ASM D9 cells treated with 1% ITS F12 media showed significantly higher levels of migration to fetal bovine serum (FBS) compared to ASM D9 cells treated with serum (n=3, p < 0.001). Preliminary data indicate that HRV-16 infected HBEC supernatants resulted in greater ASM migration compared to HBEC supernatant from media alone in the ASM D9 contractile phenotype but not the secretory phenotype. These findings support our hypothesis that the contractile phenotype of ASM D9 cells, which is more representative of ASM cells in vivo , migrate better than the secretory phenotype. Additionally, strong preliminary data indicate that supernatants from HRV infected HBE cells promotes ASM chemotaxis, and provides additional evidence for the role of contractile ASM, and HRV infections, in the pathogenesis of airway remodeling. Ongoing studies will examine protein expression between the two different phenotypes.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".