Increased activity of PRMT5-MEP50 complex improves survival of chromosomally unstable cancer cells by increasing tolerance to protein aggregation and proteotoxicity
Bibliographic record
Abstract
Abstract Most cancers display chromosomal instability (CIN), a condition that leads to increased rates of chromosome missegregation and thus yields aneuploidy. CIN and aneuploidy are detrimental to healthy cells and therefore, aneuploid cells rely on aneuploidy-tolerating mechanisms to adopt a malignant fate. We previously found PRMT5 to be frequently amplified in a mouse model for aneuploid T cell lymphoblastic lymphoma. In this study, we investigated a possible role of PRMT5 as an aneuploidy tolerating gene. We report that PRMT5 is prone to aggregation when expressed at supra-stoichiometric levels compared to its obligate partner protein MEP50 (methylosome protein 50, WDR77). Intriguingly, we also find that protein aggregation, induced by CIN, is mitigated by jointly increased expression of PRMT5 and MEP50. Accordingly, concomitant PRMT5:MEP50 expression renders cancer cells less sensitive to proteasome inhibitors and CIN while inhibition sensitizes cells to CIN. Our findings provide a possible explanation for why PRMT5 and MEP50 display increased expression, particularly in aneuploid cancers and might reveal a targetable vulnerability of aneuploid cancer.
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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) | 0.002 | 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".