Assessing the role of Ku70 vWA domain phosphorylation in the inhibition of Aurora B and activation of the DNA damage response
Bibliographic record
Abstract
Ku is a key component of the Non-Homologous End Joining DNA repair pathway. Recently, a function for Ku in DNA damage response (DDR) signalling was identified through studies exploring a Ku70 S155D phosphomimetic mutant. We hypothesize that Ku70 S155D mimics phosphorylation of Ku70 in response to DNA damage, and that Ku S155 phosphorylation inhibits Aurora B and causes sustained DDR activation. In this study we show that the S155D mutant is competent for heterodimerization, and its expression does not induce DNA damage. Phosphorylated Ku70 associates with Aurora B by co-immunoprecipitation and this association was demonstrated in situ with Ku70 S155D. Additionally, we demonstrate that the Ku70 S155D vWA domain is sufficient to inhibit Aurora B in an in vitro kinase assay. Finally, Aurora B inhibitor treatment of Ku70 S155D cells does not increase the prevalence of a DDR marker gammaH2AX. This work suggests that Ku70 S155 phosphorylation leads to an inhibition of Aurora B and DDR activation.
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 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 | 0.000 |
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 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".