Hydrogen peroxide induces heat shock protein and <i>proto-oncogene</i> mRNA accumulation in <i>Xenopus laevis</i> A6 kidney epithelial cells
Bibliographic record
Abstract
In this study, we examined the effect of hydrogen peroxide on the accumulation of various mRNAs encoding heat shock proteins (hsps) and proto-oncogenes in Xenopus A6 kidney epithelial cells. Hydrogen peroxide treatment enhanced the accumulation of hsp90, hsp70, hsp30, c-jun, c-fos, and actin mRNAs with distinct temporal patterns. Although hsp70, c-fos, and c-jun mRNA levels peaked at 1-2 h before declining, hsp30 and hsp90 mRNA levels were maximal at 4-6 h. Other mRNAs, including heat shock cognate hsc70, immunoglobulin binding protein, and ribosomal L8, were unaffected. Treatment of kidney cells with a combination of mild heat shock plus hydrogen peroxide resulted in a synergistic increase in the relative levels of both hsp70 and hsp30 mRNA, but not hsp90, c-fos, c-jun, or actin. This study suggests that analysis of hsp and proto-oncogene mRNA levels may be of value as molecular biomarkers of oxidative stress associated with various disease states and nephrotoxicity in kidney.
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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 | 0.000 |
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 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".