Arginine Methylation Regulates Telomere Length and Stability
Bibliographic record
Abstract
TRF2, a component of the shelterin complex, functions to protect telomeres. TRF2 contains an N-terminal basic domain rich in glycines and arginines, similar to the GAR motif that is methylated by protein arginine methyltransferases. However, whether arginine methylation regulates TRF2 function has not been determined. Here we report that amino acid substitutions of arginines with lysines in the basic domain of TRF2 induce telomere dysfunction-induced focus formation, leading to induction of cellular senescence. We have demonstrated that cells overexpressing TRF2 lysine mutants accumulate telomere doublets, indicative of telomere instability. We uncovered that TRF2 interacts with PRMT1, and its arginines in the basic domain undergo PRMT1-mediated methylation both in vitro and in vivo. We have shown that loss of PRMT1 induces growth arrest in normal human cells but has no effect on cell proliferation in cancer cells, suggesting that PRMT1 may control cell proliferation in a cell type-specific manner. We found that depletion of PRMT1 in normal human cells results in accumulation of telomere doublets, indistinguishable from overexpression of TRF2 lysine mutants. PRMT1 knockdown in cancer cells upregulates TRF2 association with telomeres, promoting telomere shortening. Taken together, these results suggest that PRMT1 may control telomere length and stability in part through TRF2 methylation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".