Ku80 Binds to Human Replication Origins Prior to the Assembly of the ORC Complex
Bibliographic record
Abstract
The Ku heterodimer, an abundant nuclear protein, binds DNA replication origins in a sequence-specific manner and promotes initiation. In this study, using HCT116 Ku80+/- haplo-insufficient and Orc2(delta/-) hypomorphic cells, the order of binding of Ku and the human origin recognition complex (HsORC) was determined. The nuclear expression of Ku80 was found to be decreased by 60% in Ku80+/- cells, while its general association with chromatin was decreased by 33%. Coimmunoprecipitation studies indicated that the Ku heterodimer associates specifically with the human HsOrc-2, -3, -4, and -6 subunits. Chromatin immunoprecipitation (ChIP) experiments, using cells synchronized to late G1, showed that the association of Ku80 with the lamin B2, beta-globin, and c-myc origins in vivo was decreased by 1.5-, 2.3-, and 2.5-fold, respectively, in Ku80+/- cells. The association of HsOrc-3, -4, and -6 was consistently decreased in all three origins examined in Ku80+/- cells, while that of HsOrc-2 showed no significant variation, indicating that the HsOrc-3, -4, and -6 subunits bind to the origins after Ku80. In Orc2(delta/-) cells, the association of HsOrc-2 with the lamin B2, beta-globin, and c-myc origins was decreased by 2.8-, 4.9-, and 2.8-fold, respectively, relative to wild-type HCT116 cells. Furthermore, nascent strand abundance at these three origins was decreased by 4.5-, 2.3-, and 2.6-fold in Orc2(delta/-) relative to HCT116 cells, respectively. Interestingly, the association of Ku80 with these origins was not affected in this hypomorphic cell line, indicating that Ku and HsOrc-2 bind to origins independently of each other.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".