The GAR Motif of 53BP1 is Arginine Methylated by PRMT1 and is Necessary for 53BP1 DNA Binding Activity
Bibliographic record
Abstract
The p53-binding protein 1 (53BP1) is rapidly recruited to sites of DNA double-strand breaks and forms characteristics nuclear foci, demonstrating its role in the early events of detection, signaling and repair of damaged DNA. 53BP1 contains a glycine arginine rich (GAR) motif of unknown function within its kinetochore-binding domain. Herein, we show that the GAR motif of 53BP1 is arginine methylated by protein arginine methyltransferase 1 (PRMT1), the same methyltransferase that methylates MRE11. 53BP1 contains asymmetric dimethylarginines (aDMA) within cells, as detected with methylarginine-specific antibodies. Amino acid substitution of the arginines within the GAR motif of 53BP1 abrogated binding to single and double-stranded DNA, demonstrating that the GAR motif is required for DNA binding activity of 53BP1. Fibroblast cells treated with methylase inhibitors failed to relocalize 53BP1 to sites of DNA damage and formed few gamma-H2AX foci, consistent with our previous data that MRE11 fails to relocalize to DNA damage sites in cells treated with methylase inhibitors. Our findings identify the GAR motif as a region required for 53BP1 DNA binding activity and as the site of methylation by PRMT1.
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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) | 0.001 | 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".