Global inhibition of deadenylation stabilizes the transcriptome in mitotic cells
Bibliographic record
Abstract
Abstract In the presence of cell division errors, mammalian cells can pause in mitosis for tens of hours with little to no transcription, while still requiring continued translation for viability. These unique aspects of mitosis require substantial adaptations to the core gene expression programs. Indeed, during interphase, the homeostatic control of mRNA levels involves a constant balance of transcription and degradation, with a median mRNA half-life of ∼2–4 hours. If such short mRNA half-lives persisted in mitosis, cells would be expected to quickly deplete their transcriptome in the absence of new transcription. Here, we report that the transcriptome is globally stabilized during prolonged mitotic delays. Typical mRNA half-lives are increased >4-fold in mitosis compared to interphase, thereby buffering mRNA levels in the absence of new synthesis. Moreover, the poly(A)-tail-length profile of mRNAs changes in mitosis, strongly suggesting a mitotic repression of deadenylation. We further show that mRNA stabilization in mitosis is dependent on cytoplasmic poly(A)-binding proteins PABPC1&4. Depletion of PABPC1&4 disrupts the maintenance of mitotic arrest, highlighting the critical physiological role of mitotic transcriptome buffering. Highlights The cellular transcriptome is globally stabilized during prolonged mitotic arrest Distinct poly(A)-tail-length profile of mRNAs in mitosis suggests repression of deadenylation mRNA stabilization in mitosis is dependent on PABPC1 and PABPC4 Degradation of mRNAs during mitosis compromises maintenance of mitotic arrest
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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 | 0.001 |
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".