The Pseudogene RPS27AP5 Reveals Novel Ubiquitin and Ribosomal Protein Variants Involved in Specialised Ribosomal Functions
Bibliographic record
Abstract
Abstract Pseudogenes, traditionally considered non-functional gene copies resulting from evolutionary mutations, have garnered attention due to recent transcriptomics and proteomics revealing their unexpected expressions and consequential cellular functions. Ubiquitin, transcribed from UBA52 and RPS27A genes, fused to ribosomal proteins eL40 and eS31, and polyubiquitin precursors encoded by UBB and UBC genes, has additional pseudogenes labeled as non-functional. However, recent evidence challenges this notion, demonstrating that these pseudogenes produce ubiquitin variants with minimal differences from the canonical sequence, suggesting a new regulatory dimension in ubiquitin-mediated cellular processes. To systematically catalogue possible Ubiquitin (Ub) and Ubiquitin-like (Ubl) variants from pseudogenes, expression data was compiled, identifying potential functional variants. Among these pseudogenes, RPS27AP5 expresses both Ubiquitin variant (UbP5) and ribosomal protein variant (S27aP5), with precursor proteins maturing through cleavage and exhibiting behavior similar to their counterparts post-translation. Notably, S27aP5 integrates into translating ribosomes, increasing the 80S monosomal ribosomal fraction and indirectly influencing p16INK4A transcriptional activation. The discovery of a functional S27a pseudogene supports the concept that a subset of ribosomes may incorporate diverse subunits for specific translational functions.
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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 | 0.001 | 0.001 |
| 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 | 0.001 |
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".