Analysis of DNA-Dependent Protein Kinase-Mediated DNA End Joining by Two-Photon Fluorescence Cross-Correlation Spectroscopy
Bibliographic record
Abstract
Nonhomologous end joining (NHEJ) is the primary mechanism by which mammalian cells repair DNA double-strand breaks (DSBs). Proteins known to play a role in NHEJ include the DNA-dependent protein kinase catalytic subunit (DNA-PKcs), the Ku 70/Ku 80 heterodimer (Ku), XRCC4, and DNA ligase IV. One of the main roles of the DNA-PKcs-Ku complex is to bring the ends of the DSB together in a process termed synapsis, prior to end joining. Synapsis results in the autophosphorylation of DNA-PKcs, which is required to make the DNA ends available for ligation. Here, we describe a novel assay using two-photon fluorescence cross-correlation spectroscopy that allows for the analysis of DNA synapsis and end joining in solution using purified proteins. We demonstrate that although autophosphorylation-defective DNA-PKcs does not support DNA ligase-mediated DNA end joining, like wild-type (WT) DNA-PKcs, it is capable of Ku-dependent DNA synapsis in solution. Moreover, we show that, in the presence of Ku, both WT DNA-PKcs and autophosphorylation-defective DNA-PKcs promote the formation of multiple, large multi-DNA complexes in solution, suggesting that, rather than align two opposing DNA ends, multiple DNA-PK molecules may serve to bring multiple DNA ends into the NHEJ complex.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".