MétaCan
Menu
Back to cohort
Record W4402545884 · doi:10.1515/hsz-2024-0088

The BCL11A transcription factor stimulates the enzymatic activities of the OGG1 DNA glycosylase

2024· article· en· W4402545884 on OpenAlexafffund
Tetiana Petrachkova, О. И. Солдаткина, Lam Leduy, Alain Nepveu

Bibliographic record

VenueBiological Chemistry · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDNA Repair Mechanisms
Canadian institutionsMcGill University
FundersCanadian Institutes of Health Research
KeywordsDNA glycosylaseZinc fingerGene knockdownChemistryUracil-DNA glycosylaseDNABiochemistryTranscription factorMolecular biologyTranscription (linguistics)DNA repairGeneBiology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.238
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueBiological ChemistrySame topicDNA Repair MechanismsFrench-language works237,207