Identification of the PRMT1v1 and PRMT1v2 specific interactomes by quantitative mass spectrometry in breast cancer cells
Bibliographic record
Abstract
Arginine methylation is catalyzed by a family of enzymes called protein arginine methyltransferases (PRMTs). The PRMT1 gene generates at least seven distinct alternatively spliced isoforms (PRMT v1-v7), which together contribute a significant portion of the cellular arginine methylome. The distinct biochemical and biological functions of these PRMT1 isoforms have not been well characterized. Previously we have shown that while both PRMT1v1 and PRMT1v2 are overexpressed in breast cancer cells, PRMT1v2 specifically promotes breast cancer cell survival and invasion. These isoforms also have distinct subcellular localizations, PRMT1v1 is mainly nuclear and PRMT1v2 cytosolic. To gain further knowledge into their isoform-specific roles within cells we used a SILAC-based quantitative affinity purification/MS approach to identify their individual protein interactomes in breast cancer cells. This analysis has uncovered distinct interactomes for PRMT1v1 and PRMT1v2. Consistent with their distinct subcellular localizations, PRMT1v1 enriched a mainly nuclear protein interactome, while PRMT1v2 enriched predominantly cytoplasmic interactors from whole-cell extracts. Furthermore, these interactomes revealed that PRMT1v1 has a role in regulating gene expression, while PRMT1v2 functions in cytoskeletal dynamics. These results highlight the unique functions of these isoforms and the distinct roles they may play within cells, with potential implications for breast cancer and other diseases.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".