Characterization of valproic acid‐initiated homologous recombination
Bibliographic record
Abstract
BACKGROUND: Valproic acid (VPA) is a frequently used antiepileptic agent and known teratogen. Previous research suggests that inhibition of histone deacetylases (HDACs) may play a role in VPA-induced teratogenicity. We have also shown that VPA exposure leads to both an increase in reactive oxygen species (ROS) production and increased frequency of homologous recombination (HR). METHODS: In the present study, we evaluated the role of HDAC inhibition in VPA-initiated HR to determine if HDAC inhibition could alter repair activity and/or cause DNA double-strand breaks (DSBs), which would then initiate repair. Histone acetylation status was assessed to determine if VPA exposure led to HDAC inhibition in CHO 33 cells. RESULTS: Our results demonstrate that VPA (5 mM) exposure leads to increased acetylated histone H3 and H4 protein levels after 10 to 24 hr. Secondly, in our recombination assay where an artificial DNA DSB was induced in CHO 33 cells to assess repair activity, VPA exposure did not affect the repair activity of VPA-initiated HR. Subsequently, to determine if VPA could increase susceptibility to DNA DSBs, the number of gamma-H2AX foci was assessed using immunocytochemistry and results revealed an increase in gamma-H2AX foci after 10- to 24-hr exposure to VPA. CONCLUSIONS: Although we demonstrated the protective effect of polyethylene glycol-catalase against VPA-induced HR and the generation of intracellular ROS within 24 hr, we did not observed an increase in DNA oxidation. These studies suggest that HDAC inhibition and ROS signaling may play roles in DNA maintenance and cell-cycle arrest in initiating DNA damage and repair.
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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 | 0.001 | 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 | 0.001 |
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".