The BCL11A transcription factor stimulates the enzymatic activities of the OGG1 DNA glycosylase
Bibliographic record
Abstract
The BCL11A transcription factor has previously been shown to interact with and stimulate the enzymatic activities of the NTHL1 DNA glycosylase and Pol β polymerase. Here we show that BCL11A and a smaller peptide encompassing amino acids 160 to 520 can interact with the 8-oxoguanine DNA glycosylase, OGG1, increase the binding of OGG1 to DNA that contains an 8-oxoguanine base and stimulate the glycosylase activity of OGG1. Following BCL11A knockdown, we observed an increase in oxidized purines in the genome using comet assays, while immunoassays reveal an increase in 8-oxoG bases. Structure-function analysis indicates that the stimulation of OGG1 by BCL11A requires the zinc fingers 1, 2 and 3 as well as the proline-rich region between the first and second zing finger, but a glutamate-rich region downstream of zinc finger 3 is dispensable. Ectopic expression of a small peptide that contains the three zinc fingers can rescue the increase in 8-oxoguanine caused by BCL11A knockdown. These findings, together with previous results showing that BCL11A stimulates the enzymatic activities of NTHL1 and the Pol β polymerase, suggest that high expression of BCL11A is important to protect cancer cells against oxidative DNA damage.
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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 | 0.001 |
| 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".