Changes in lung-specific molecular expression during differentiation of hamster embryonic M3E3/C3 cell line
Bibliographic record
Abstract
To clarify the differentiation mechanisms of bronchiolar epithelial cells, changes at the transcription level of epithelial cell-specific proteins were examined using M3E3/C3, a cell line derived from hamster fetal lung. During a 9-day incubation period with 24 microg/mL of retinol, the cells became attached to each other and formed large bud-like structures which could be detected with periodic acid-Schiff staining. During the incubation period, the mRNA level of surfactant-associated protein-B significantly increased 2.6- and 5.4-fold higher than cells incubated without retinol on days 3 and 9, respectively. The Clara cell-specific secretory protein mRNA level also increased and peaked at 5.1-fold (P < 0.05) on day 5 compared with control cells. In contrast, mRNA for surfactant-associated protein-C, an alveolar type II cell-specific protein, decreased. Moreover, the expression of the gene for hepatocyte nuclear factor 3alpha, a putative transactivating factor for lung-related genes, was up-regulated resulting in consistently higher levels (2.4- to 5.6-fold) compared with controls, while those for transmembrane-type mucin-1 and glyceraldehyde-3-phosphate dehydrogenase were constantly expressed during the incubation. The present study confirms that at the gene transcription level M3E3/C3 cells differentiate into Clara-like cells with mucus granules in the presence of retinol.
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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 | 0.001 |
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".