Characterization of the Roles of TopoIIIα-RMI1 in Maintaining Genome Integrity
Bibliographic record
Abstract
Bloom syndrome is a rare autosomal recessive disorder that is caused by mutations in the BLM gene. BLM associates with TopoIIIα and RMI1 to form a complex that is essential to maintain genome integrity. This complex catalyzes a dissolution reaction that resolves recombination intermediates containing two Holliday junctions without crossing over of genetic material. Dissolution activity is remarkable because it accounts for the in vivo role of BLM-TopoIIIα-RMI1 in suppressing sister chromatid exchanges. To further understand the biochemical roles that each member of the BLM complex plays in dissolution, I generated single-stranded catenanes that resemble the proposed intermediates at the latest steps of dissolution. Using this substrate, I demonstrated that TopoIIIα is a single-stranded DNA decatenase that is specifically stimulated by BLM and RMI1. Interaction between TopoIIIα and RMI1 is essential for the optimal decatenase activity. Furthermore, binding of RPA to single-stranded DNA substrate inhibits TopoIIIα decatenase activity. However, complex formation between BLM, TopoIIIα and RMI enables TopoIIIα to displace RPA and catalyze decatenation. Since the decatenase activity is presumed to be involved in many aspects of DNA metabolism, I investigated the roles of RMI1 and TopoIIIα in DNA replication in vivo. Using the molecular combing technique, I showed that RMI1 functions downstream of BLM to promote normal replication fork progression. In addition, BLM, TopoIIIα and RMI1 colocalize with one another in response to replication stress. Finally, interaction between TopoIIIα and RMI1 is essential for nuclear localization of the complex and for the complex to promote recovery from replication stress. This work defines molecular functions for RMI1 and TopoIIIα in DNA replication and repair, providing insight into their roles as suppressors of genome instability.
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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".