Transcription factors induce differential splicing of duplicated ribosomal protein genes during meiosis
Bibliographic record
Abstract
Abstract In yeast, most ribosomal proteins are produced from duplicated genes. These nearly identical protein pairs are expressed at varying levels, with one ‘major paralog’ usually predominating. The minor paralog is highly transcribed but held in check through reduced intron removal, but the mechanism and purpose of this copy-specific repression remains unclear. In this study, we searched for proteins that achieve copy-specific expression by acting through the intron of the minor paralog of the model duplicated small ribosomal subunit protein S9 genes. By mass spectrometry and gene deletion we demonstrate that the transcription factors Rim101 and Taf14 bind to the intron and inhibit the splicing of the minor RPS9 paralog. RPS9A is then specifically de-repressed during meiosis to ensure optimal expression of meiotic genes and efficient sporulation. Our results reveal a new regulatory paradigm where transcriptional factors can also modulate splicing rates to optimize the expression of duplicated ribosomal protein genes.
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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 | 0.001 |
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".