DNA Repair Gene Expression Up-Regulation in Response to Phosphoramide Mustard Exposure in Cultured Rat Ovaries.
Bibliographic record
Abstract
Cyclophosphamide (CPA) is used as an anti-neoplastic and immunosuppressant therapy in females. Phosphoramide Mustard (PM) is the ovotoxic metabolite of CPA, and destroys rapidly dividing cells by binding covalently to DNA, inducing DNA-DNA and DNA-protein crosslinks, and DNA double-strand breaks (DSB). Previous studies have shown that PM induces destruction of primordial and small primary follicles in a dose-dependent manner in cultured rat ovaries. Interestingly, PM induced follicle destruction is preceded by the appearance of DSBs in oocytes. This study was designed to explore the expression of genes involved in DNA repair at time points prior to the appearance of PM-induced DSBs. Fisher 344 postnatal day 4 rat ovaries were cultured in medium containing vehicle control (DMSO) ± PM (30 µM) for 2 or 4 days. Three biological replicates were used to perform a real-time RT-PCR array designed to identify genes involved in DNA repair. The data were analyzed using mixed models, correcting for multiple testing by lme4 and q value packages in R software. Relative to control treated ovaries, 18 and 3 repair genes were up-regulated (q < 0.1) on days 2 and 4, respectively, in response to PM exposure. A single gene, DNA polymerase delta 3 (Pold3) was increased at both time points. These results support that the ovary up-regulates genes involved in DNA repair in response to a DNA damaging xenobiotic exposure. It is likely that repeated ovotoxic chemical exposure eventually overwhelms this protective response, resulting in loss of oocytes containing imperfect DNA. (Supported by ES016818 to AFK). (poster)
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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) | 0.002 | 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".