R-loop-mediated genome instability in mRNA cleavage and polyadenylation mutants
Bibliographic record
Abstract
Genome instability via RNA:DNA hybrid-mediated R loops has been observed in mutants involved in various aspects of transcription and RNA processing. The prevalence of this mechanism among essential chromosome instability (CIN) genes remains unclear. In a secondary screen for increased Rad52 foci in CIN mutants, representing ∼25% of essential genes, we identified seven essential subunits of the mRNA cleavage and polyadenylation (mCP) machinery. Genome-wide analysis of fragile sites by chromatin immunoprecipitation (ChIP) and microarray (ChIP-chip) of phosphorylated H2A in these mutants supported a transcription-dependent mechanism of DNA damage characteristic of R loops. In parallel, we directly detected increased RNA:DNA hybrid formation in mCP mutants and demonstrated that CIN is suppressed by expression of the R-loop-degrading enzyme RNaseH. To investigate the conservation of CIN in mCP mutants, we focused on FIP1L1, the human ortholog of yeast FIP1, a conserved mCP component that is part of an oncogenic fusion in eosinophilic leukemia. We found that truncation fusions of yeast FIP1 analogous to those in cancer cause loss of function and that siRNA knockdown of FIP1L1 in human cells increases DNA damage and chromosome breakage. Our findings illuminate how mCP maintains genome integrity by suppressing R-loop formation and suggest that this function may be relevant to certain human cancers.
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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".