The Ski2 helicase ASCC3 unwinds DNA upon fork stalling to control replication stress responses
Bibliographic record
Abstract
The activating signal co-integrator 1 complex subunit 3 (ASCC3), the largest subunit of ASCC, is one of two Ski2-like helicases with duplicated helicase cassettes encoded by the human genome. ASCC3 has been implicated in transcriptional regulation, alkylation damage repair, and ribosome quality control. In addition, published proteomics studies suggest that ASCC3 is associated with stalled forks. However, little is known about its role in replication stress. Here we report that ASCC3 is recruited to stalled forks by its binding partner ASCC2, whose recruitment to stalled forks is dependent upon both its ubiquitin binding activity and polyubiquitylation of PCNA at K164 that is catalyzed by SHPRH, HLTF, and RFWD3. In response to replication stress. ASCC3 unwinds DNA, generating both parental and nascent ssDNA. This unwinding activity is required to promote fork reversal. We demonstrate that ASCC3 also interacts with RPA and stimulates RPA accumulation on ssDNA upon replication stress, promoting ATR activation. Furthermore, ASCC3 functions to antagonize RAD51-mediated recombination and prevents accumulation of chromosome breaks/gaps and mis-segregation in response to replication stress. Our work underscores a previously uncharacterized but critical role of ASCC3 in controlling multiple replication stress responses to maintain genomic stability.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".