Nuclear import of RNA polymerase II requires the conserved GPN‐loop GTPase XAB1/GPN1
Bibliographic record
Abstract
Over the past 3 decades, many efforts have been made to identify and characterize the factors that regulate the activity of RNA polymerase II (RNAPII), the enzyme that synthesizes all the mRNA and many small nuclear RNA in eukaryotes. Quite surprisingly, very little is known about the cell machinery that regulates the fate of RNAPII before or after transcription. In this study, we report that XAB1/GPN1, a member of a unique class of GTPases containing a conserved GPN‐loop, is involved in the biogenesis of RNAPII by regulating its nuclear import. XAB1/GPN1 is physically associated with RNAPII in the soluble cell fraction and is essential for cell growth. Accumulation of RNAPII in the cytoplasm of the cell was induced upon (i) depletion of XAB1/GPN1 by siRNA silencing, (ii) overexpression of a XAB1‐GFP dominant negative fusion protein, (iii) mutation of the GTP‐binding or GPN motifs of the XAB1/GPN1 homologue in yeast, NPA3, and (iv) treatment of cells with leptomycin B, an inhibitor of XPO1/CRM1‐dependent nuclear export. Yeast strains with mutations in the NPA3 gene showed hypersensitivity to benomyl, a specific inhibitor of microtubule assembly, suggesting a role for microtubules in RNAPII biogenesis. Together, these results indicate that XAB1/GPN1 shuttles between the cytoplasm and the nucleus to mediate nuclear import of RNAPII.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".