The Central Region of BRCA1 Binds Preferentially to Supercoiled DNA
Bibliographic record
Abstract
BRCA1 is a multifunctional tumor suppressor protein with implications in regulating processes such as cell cycle, transcription, DNA repair, and chromatin remodeling. The function of BRCA1 likely involves interactions with a vast number of proteins and likewise DNA. To this date there is only fragmentary evidence about BRCA1 binding to DNA. In this study, we provide detailed analyses of various BRCA1 protein constructs binding to linear and supercoiled (sc) DNAs. We demonstrate that the central region of human BRCA1 binds strongly to negatively sc plasmid DNA at a native superhelix density, as evidenced by electrophoretic retardation of sc DNA in agarose gels. At relatively low BRCA1:DNA ratios, binding of BRCA1 to sc DNA results in the appearance of one or more retarded DNA bands on the gels. After removal of BRCA1, the original mobility of the sc DNA is recovered. BRCA1 proteins at higher concentrations also bind to the same DNA but in linear state, leading to formation of a smeared retarded band. Our experiments not only demonstrate a preference for BRCA1 binding to sc DNA, but also show that the central region may contain at least two efficient DNA binding domains with strong affinity for sc DNA. The biological implications of the novel DNA binding activities of BRCA1 are discussed.
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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 | 0.001 |
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".