Nuclear localization of Ku antigen is promoted independently by basic motifs in the Ku70 and Ku80 subunits
Bibliographic record
Abstract
The Ku antigen is a heteromeric (Ku70/Ku80), mostly nuclear protein. Ku participates in multiple nuclear processes from DNA repair to V(D)J recombination to telomere maintenance to transcriptional regulation and serves as a DNA binding subunit and allosteric regulator of DNA-dependent protein kinase. While some evidence suggests that subcellular localization of Ku may be subject to regulation, how Ku gains access to the nucleus is poorly understood. In this work, using a combination of indirect immunofluorescence and direct fluorescence, we have demonstrated that transfer of the Ku heterodimer to the nucleus is determined by basic nuclear localization signals in each of the Ku subunits that function independently. A bipartite basic nuclear localization signal between amino acids 539-556 of Ku70 was observed to be required for nuclear import of full-length Ku70 monomer, while a short Ku80 motif of four amino acids from 565-568 containing three lysines was required for the nuclear import of full-length Ku80. Ku heterodimers containing only one nuclear localization signal accumulated in the nucleus as efficiently as wild-type Ku, while site directed mutagenesis inactivating the basic motifs in each subunit, resulted in a Ku heterodimer that was completely localized to the cytoplasm. Lastly, our results indicate that mutations in Ku previously proposed to abrogate Ku70/Ku80 heterodimerization, markedly reduced the accumulation of Ku70 without affecting heterodimer formation in mammalian cells.
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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) | 0.000 | 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".