Down-regulation of histone H2B by DNA-dependent protein kinase in response to DNA damage through modulation of octamer transcription factor 1.
Bibliographic record
Abstract
Cells respond to double-stranded DNA breaks (DSBs) by pausing cell cycle progression to allow the repair machinery to restore genomic integrity. DNA-dependent protein kinase (DNA-PK), comprising a large catalytic subunit (DNA-PK(cs)) and the Ku antigen regulatory subunit (Ku70/Ku80), is activated in response to DSBs and is required for DNA repair through the nonhomologous end-joining pathway. Here we provide evidence that DNA-PK participates in altering specific gene expression in response to DNA damage by modulating the stability and transcriptional regulatory potential of the essential transcription factor octamer transcription factor 1 (Oct-1). Histone H2B and U2 RNA, whose expression are highly dependent on Oct-1, were strongly decreased in response to ionizing radiation in a DNA-PK-dependent manner, and Oct-1-dependent reporter gene transcription was repressed. Furthermore, Oct-1 phosphorylation in response to ionizing radiation increased in a DNA-PK-dependent manner. Paradoxically, down-regulation of transactivation correlated with the rapid DNA-PK-dependent stabilization of Oct-1. Stabilization of Oct-1 was dependent on the NH(2)-terminal region of Oct-1, which contains a transcriptional activation domain and which was phosphorylated by DNA-PK in vitro. These results suggest a mechanism for the regulation of Oct-1 in response to DNA damage through specific phosphorylation within the NH(2)-terminal transcriptional regulatory domain.
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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) | 0.001 | 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".