Proteomic and protein modification profiling of lung cells BEAS 2B upon different electronic cigarette vapour treatments
Bibliographic record
Abstract
Although e-cigarette are still considered a safer alternative to traditional cigarettes, a growing body of evidence points to their harmful effects on a range of cellular processes . In this study lung BEAS 2B epithelial cells were treated for 24 h with sub-cytotoxic concentration1 of e-cigarette vapour, with and without (w/o) nicotine and (w/o) flavor. The comprehensive proteome analysis was performed via high resolution mass spectrometry based proteomics (Orbitrap Exploris 240, Thermo Scientific, USA) and relative, label free quantification of protein expression and their post-translational and chemical modifications by PEAKS X Pro Studio (BSI Ltd, Ontario, Canada). E-cigarette liquids induced significant depletion in total number of proteins and impairment of mitochondrial function in treated cells. Increased presence of post-translational modifications, including environmentally-driven toxic&harmful, and those classified as direct oxidative modifications, were observed especially in combined nicotine+flavour treatment and flavour treatment without nicotine, beside control, pure nicotine and base liquid treatments. There is a need to study further biological effects of e-cigarettes in more details, given their widespread use
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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 | 0.000 | 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 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".