Protein glutathionylation in respiratory epithelial cell lines
Bibliographic record
Abstract
Glutathionylation is a reversible binding of glutathione (GSH) to SH-groups of proteins. Activity of many critical proteins (e.g. protein tyrosine phosphatase 1b, NF-kappaB, AP-1), involved in signal transduction during inflammation and oxidative stress, may be regulated through glutathionylation. Recently, a protocol using a biotinylated glutathione monoester to identify glutathionylated proteins was published (Sullivan DM et al, 2002). For our experiments, we modified this procedure and studied protein glutathionylation in respiratory epithelial cell lines (16HBE14o-, gift from Prof. D. Gruenert and A549, obtained from ATCC) exposed to hydrogen peroxide (1 or 24h). Glutathionylated proteins were affinity-purified from cell lysates and subjected to 2D gel electrophoresis. The described procedure revealed four glutathionylated proteins in hydrogen peroxide-stimulated samples. The mass-spectrometric identification of glutathionylated proteins is underway. Conclusion: protein glutathionylation is documented in respiratory epithelial cell lines. Further studies are planned to study the significance of protein glutathionylation in signal transduction during oxidative stress and glutathione augmentation. Supported by: NSERC and Canadian CF Foundation
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".