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 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".