DNA-PKcs-OBA/Ku associate in the absence of DNA, as revealed by two-dimensional capillary gel electromobility shift assay
Bibliographic record
Abstract
Ors-binding activity (OBA) has been previously purified by its ability to specifically interact with A3/4, a 36-bp mammalian origin consensus sequence [1]. Peptide sequence analyses identified OBA as Ku86, the largest subunit of Ku antigen, a heterodimeric protein (Ku70/Ku86) involved in several autoimmune disorders [2-5]. The affinity-purified fraction containing OBA/Ku is also enriched for DNA-dependent protein kinase DNA-PKcs, the catalytic subunit of the DNA-PK holoenzyme, of which Ku antigen is the DNA-binding subunit [6-8]. Glycerol-gradient sedimentation analyses have demonstrated the presence of OBA/Ku in a high-molecular-weight complex. In order to investigate whether OBA/Ku and DNA-PKcs are associated in this fraction, we have used a modification of the two-dimensional gel electrophoresis technique originally described [9]. Electromobility shift assays were developed in native capillary gels, which were subsequently used for sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) in the second dimension. The gels were then processed for Western blotting using the Ku70, Ku86 and DNA-PKcs antibodies. This approach has revealed the association of OBA/Ku and DNA-PKcs to give rise to the DNA-PK holoenzyme irrespective of the presence, or the absence of DNA. Altogether, we have proven the utility of this technique for the study of protein-protein and protein-DNA interactions.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".