Nipah Virus Sequesters Inactive STAT1 in the Nucleus via a P Gene-Encoded Mechanism
Bibliographic record
Abstract
The Nipah virus (NiV) phosphoprotein (P) gene encodes the C, P, V, and W proteins. P, V, and W, have in common an amino-terminal domain sufficient to bind STAT1, inhibiting its interferon (IFN)-induced tyrosine phosphorylation. P is also essential for RNA-dependent RNA polymerase function. C is encoded by an alternate open reading frame (ORF) within the common amino-terminal domain. Mutations within residues 81 to 113 of P impaired its polymerase cofactor function, as assessed by a minireplicon assay, but these mutants retained STAT1 inhibitory function. Mutations within the residue 114 to 140 region were identified that abrogated interaction with and inhibition of STAT1 by P, V, and W without disrupting P polymerase cofactor function. Recombinant NiVs were then generated. A G121E mutation, which abrogated inhibition of STAT1, was introduced into a C protein knockout background (C(ko)) because the mutation would otherwise also alter the overlapping C ORF. In cell culture, relative to the wild-type virus, the C(ko) mutation proved attenuating but the G121E mutant virus replicated identically to the C(ko) virus. In cells infected with the wild-type and C(ko) viruses, STAT1 was nuclear despite the absence of tyrosine phosphorylation. This latter observation mirrors what has been seen in cells expressing NiV W. In the G121E mutant virus-infected cells, STAT1 was not phosphorylated and was cytoplasmic in the absence of IFN stimulation but became tyrosine phosphorylated and nuclear following IFN addition. These data demonstrate that the gene for NiV P encodes functions that sequester inactive STAT1 in the nucleus, preventing its activation and suggest that the W protein is the dominant inhibitor of STAT1 in NiV-infected 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 | 0.000 |
| 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".