Strategic role of the ubiquitin-dependent segregase p97 (VCP or Cdc48) in DNA replication
Bibliographic record
Abstract
Genome amplification (DNA synthesis) is one of the most demanding cellular processes in all proliferative cells. The DNA replication machinery (also known as the replisome) orchestrates genome amplification during S-phase of the cell cycle. Genetic material is particularly vulnerable to various events that can challenge the replisome during its assembly, activation (firing), progression (elongation) and disassembly from chromatin (termination). Any disturbance of the replisome leads to stalling of the DNA replication fork and firing of dormant replication origins, a process known as DNA replication stress. DNA replication stress is considered to be one of the main causes of sporadic cancers and other pathologies related to tissue degeneration and ageing. The mechanisms of replisome assembly and elongation during DNA synthesis are well understood. However, once DNA synthesis is complete, the process of replisome disassembly, and its removal from chromatin, remains unclear. In recent years, a growing body of evidence has alluded to a central role in replisome regulation for the ubiquitin-dependent protein segregase p97, also known as valosin-containing protein (VCP) in metazoans and Cdc48 in lower eukaryotes. By orchestrating the spatiotemporal turnover of the replisome, p97 plays an essential role in DNA replication. In this review, we will summarise our current knowledge about how p97 controls the replisome from replication initiation, to elongation and finally termination. We will also further examine the more recent findings concerning the role of p97 and how mutations in p97 cofactors, also known as adaptors, cause DNA replication stress induced genomic instability that leads to cancer and accelerated ageing. To our knowledge, this is the first comprehensive review concerning the mechanisms involved in the regulation of DNA replication by p97.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".