Colocalization and Interaction of the Porcine Arterivirus Nucleocapsid Protein with the Small Nucleolar RNA-Associated Protein Fibrillarin
Bibliographic record
Abstract
Porcine reproductive and respiratory syndrome virus (PRRSV) replicates in the cytoplasm of infected cells, but its nucleocapsid (N) protein localizes specifically to the nucleus and nucleolus. The mechanism of nuclear translocation and whether N associates with particular nucleolar components are unknown. In the present study, we show by confocal microscopy that the PRRSV N protein colocalizes with the small nucleolar RNA (snoRNA)-associated protein fibrillarin. Direct and specific interaction of N with fibrillarin was demonstrated in vivo by the mammalian two-hybrid assay in cells cotransfected with the N and fibrillarin genes and in vitro by the glutathione S-transferase pull-down assay using the expressed fibrillarin protein. Using a series of deletion mutants, the interactive domain of N with fibrillarin was mapped to a region of amino acids 30 to 37. For fibrillarin, the first 80 amino acids, which contain the glycine-arginine-rich region (the GAR domain), was determined to be the domain interactive with N. The N protein was able to bind to the full-length genomic RNA of PRRSV, and the RNA binding domain was identified as the region overlapping with the nuclear localization signal situated at positions 41 to 47. These results suggest that the N protein nuclear transport may be controlled by the binding of RNA to N. The PRRSV N protein was also able to bind to both 28S and 18S ribosomal RNAs. The protein-protein interaction between N and fibrillarin was RNA dependent but independent of N protein phosphorylation. Taken together, our studies demonstrate a specific interaction of the PRRSV nucleocapsid protein with the host cell protein fibrillarin in the nucleolus, and they imply a potential linkage of viral strategies for the modulation of host cell functions, possibly through rRNA precursor processing and ribosome biogenesis.
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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 | 0.000 |
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".