RNA polymerase II dynamics and mRNA stability feedback scale mRNA in proportion to cell size
Bibliographic record
Abstract
Abstract A fundamental feature of cellular growth is that protein and RNA amounts scale with cell size so that concentrations remain constant. A key component to this is that global transcription rates increase in larger cells, but the underlying mechanism has remained unknown. Here, we identify RNAPII as the major limiting factor increasing transcription with cell size in budding yeast as transcription is highly sensitive to the dosage of RNAPII but not to other components of the general transcriptional machinery. Our experiments support a dynamic equilibrium model where global transcription at a given size is set by the mass-action recruitment kinetics of unengaged nucleoplasmic RNAPII, and DNA content. This drives a sub-linear increase in transcription with size, which is precisely compensated for by a decrease in mRNA decay rates as cells enlarge. Thus, limiting RNAPII and feedback on mRNA stability work in concert to ensure mRNA concentration homeostasis in growing cells.
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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 | 0.001 |
| 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 | 0.001 | 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".