Alternative replication factor C protein, Elg1, maintains chromosome stability by regulating <scp>PCNA</scp> levels on chromatin
Bibliographic record
Abstract
Proliferating cell nuclear antigen (PCNA) is loaded on chromatin upon initiation of the S phase and acts as a platform for a large number of proteins involved in chromosome duplication at the replication fork. As duplication is completed, PCNA dissociates from chromatin, and thus, chromatin-bound PCNA levels are regulated during the cell cycle. Although the mechanism of PCNA loading has been extensively investigated, the unloading mechanism has remained unclear. Here, we show that Elg1, an alternative replication factor C protein, is required for the regulation of chromatin-bound PCNA levels. When Elg1 was depleted by small interfering RNA, chromatin-bound PCNA levels were extremely increased during the S phase. The number of PCNA foci, regions in the nucleus normally representing DNA replication sites, was increased and PCNA remained on chromatin after DNA replication. Various chromatin-associated protein levels on chromatin were affected, and chromatin loop size was increased. During mitosis, cells with aberrant chromosomes and lagging chromosomes were frequently detected. Our findings suggest that Elg1 has an important role in maintaining chromosome integrity by regulating PCNA levels on chromatin, thereby acting as a PCNA unloading factor.
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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".