Evidence of the modulation of mRNA splicing fidelity in humans by oxidative stress and p53
Bibliographic record
Abstract
The majority of human genes generate mRNA splice variants and while there is little doubt that alternative splicing is an important biological phenomenon, it has also become apparent that some splice variants are associated with disease. To elucidate the molecular mechanisms responsible for generating aberrant splice variants, we have investigated alternative splicing of the human genes HPRT and POLB following oxidative stress in different genetic backgrounds. Our study revealed that splicing fidelity is sensitive to oxidative stress. Following treatment of cells with H2O2, the overall frequency of aberrant, unproductive splice variants increased in both loci. At least in POLB, splicing fidelity is p53 dependent. In the absence of p53, the frequency of POLB splice variants is elevated but oxidative stress does not further increase the frequency of splice variants. Our data indicate that mis-splicing following oxidative stress represents a novel and significant genotoxic outcome and that it is not simply DNA lesions induced by oxidative stress that lead to mis-splicing but changes in the alternative splicing machinery itself.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".