The human telomerase RNA component, hTR, activates the DNA-dependent protein kinase to phosphorylate heterogeneous nuclear ribonucleoprotein A1
Bibliographic record
Abstract
Telomere integrity in human cells is maintained by the dynamic interplay between telomerase, telomere associated proteins, and DNA repair proteins. These interactions are vital to suppress DNA damage responses and unfavorable changes in chromosome dynamics. The DNA-dependent protein kinase (DNA-PK) is critical for this process. Cells deficient for functional DNA-PKcs show increased rates of telomere loss, accompanied by chromosomal fusions and translocations. Treatment of cells with specific DNA-PK kinase inhibitors leads to similar phenotypes. These observations indicate that the kinase activity of DNA-PK is required for its function at telomeres possibly through phosphorylation of essential proteins needed for telomere length maintenance. Here we show that the heterogeneous nuclear ribonucleoprotein A1 (hnRNP A1) is a direct substrate for DNA-PK in vitro. Phosphorylation of hnRNP A1 is stimulated not only by the presence of DNA but also by the telomerase RNA component, hTR. Furthermore, we show that hnRNP A1 is phosphorylated in vivo in a DNA-PK-dependent manner and that this phosphorylation is greatly reduced in cell lines which lack hTR. These data are the first to report that hTR stimulates the kinase activity of DNA-PK toward a known telomere-associated protein, and may provide further insights into the function of DNA-PK at telomeres.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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 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".