TBP facilitates RNA Polymerase I transcription following mitosis
Bibliographic record
Abstract
Abstract The TATA-box binding protein (TBP) is the sole transcription factor common in the initiation complexes of the three major eukaryotic RNA Polymerases (Pol I, II, and III). Decades of research have shown that TBP is essential for proper transcription by the three RNA Pols, though the emergence of TBP paralogs throughout evolution have expanded the complexity in RNA Pol initiation. We have previously shown that acute TBP depletion in mouse embryonic stem cells led to a global decrease in Pol III activity, consistent with the requirement of TBP in Pol III inititation. In contrast, Pol II transcription remained unaffected in the absence of TBP and its paralogs. In this report, we show that, in contrast to Pol II-transcribed genes, the TBP paralog TRF2 does not bind to Pol I promoters, and therefore cannot functionally replace TBP upon depletion. Importantly, acute TBP depletion has no major effect on Pol I occupancy or activity on ribosomal RNA genes, but TBP binding in mitosis leads to efficient Pol I reactivation following cell division. These findings provide a more nuanced role for TBP in Pol I transcription in murine embryonic stem cells. Significance The TATA-box binding protein (TBP) is a highly conserved and essential protein in eukaryotes. Decades of in vitro and yeast research have established its role in the initiation of the three main eukaryotic RNA polymerases. However, the ability to rapidly deplete proteins in vivo is revealing more nuance in the function of TBP in mammalian cells. Using this technology, we reassess the role of TBP in RNA Polymerase I (Pol I) transcription in mouse embryonic stem cells. We find that neither TBP nor its paralog TRF2 are required for Pol I recruitment or activity, but TBP binding during mitosis promotes efficient reactivation after cell division. Overall, these findings provide new evidence into the complex function of TBP in eukaryotic transcription.
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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".