Data relating to the transcriptomes of human lung epithelial cells exposed to radon-emitting rock, tobacco smoke or cannabis smoke
Bibliographic record
Abstract
Presented herein are RNA expression data linked to the exposure of human lung epithelial cells to either low dose radon-emitting rock, tobacco smoke or cannabis smoke. Two cell lines were used, one representing a ‘normal’ lung epithelial cell (BEAS-2B, derived from immortilized bronchial epithelial cells from a cadaver) and one representing a ‘cancerous’ lung epithelial cell (NCI-H1975, derived from a primary lung adenocarcinoma from a non-smoker). Control cells were cultured under standard conditions. Test cells were either (a) continuously cultured in the presence of pulverized uranium-containing rock emitting 38 Bq/m3 radon, or (b) exposed five days a week, to a 1:10,000 dilution of either tobacco or cannabis smoke from one cigarette. RNA was extracted from the cells at various time-points over a period of 1–17 weeks (7–140 days). cDNA libraries were prepared from the RNA, and the libraries were sequenced. Raw, aligned sequencing data, from 38 biosamples, are available through a public repository. Differential gene expression data, relating to control and test samples from various time-points, are linked to this article. Detailed analyses relating to these data can be found in the article “Human lung epithelial cells cultured in the presence of radon-emitting rock experience gene expression changes similar to those associated with tobacco smoke exposure” [1].
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".