Poly(ADP-Ribose) Polymerase Offers Protection against Oxidative and Alkylation Damage to the Nuclear and Mitochondrial Genomes of the Retinal Pigment Epithelium
Bibliographic record
Abstract
PURPOSE: To investigate the role of poly(ADP-ribose)-polymerase (PARP) in protecting against oxidative (H(2)O(2)) and alkylation (MMS) damage to the nDNA and mtDNA genomes of the retinal pigment epithelium (RPE). We further hypothesized that PARP ribosylation enzymatic activity is required to facilitate efficient nDNA and mtDNA repair to enable the RPE to survive chronic oxidative stress exposure. METHODS: Cellular sensitivity to H(2)O(2) and MMS was determined by the MTT and LDH assays. PARP ribosyl(ation) activity was inhibited by supplementation of 3-aminobenzamide (competitive PARP inhibitor). The susceptibility and repair capacities of nuclear and mitochondrial genomes were assessed by quantitative PCR and PARP activity assessed using an enzyme assay. RESULTS: This study demonstrated that cells lacking ribosyl(ation) activity had a significantly lower lesion repair capacity in both nDNA and mtDNA (p < 0.05), which culminated in reduced cell viability after H(2)O(2) exposure only (p < 0.05). Furthermore, the mtDNA demonstrated a significantly greater sensitivity compared to nDNA to both oxidative and alkylation damage (p < 0.05). CONCLUSION: PARP activity has an important role in providing the RPE with the high oxidative tolerance required for this cell type to survive the constant reactive oxygen species attack in vivo for several decades.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".