Herpes Simplex Virus Proteins ICP27 and UL47 Associate with Polyadenylate-Binding Protein and Control Its Subcellular Distribution
Bibliographic record
Abstract
Human pathogenic viruses manipulate host cell translation machinery to ensure efficient expression of viral genes and to thwart host cell protein synthesis. Viral strategies include cleaving translation factors, manipulating translation factor abundance and recruitment into translation initiation complexes, or expressing viral translation factor analogs. Analyzing translation factors in herpes simplex virus type 1 (HSV-1)-infected HeLa cells, we found diminished association of the polyadenylate-binding protein (PABP) with the cap-binding complex. Although total PABP levels were unchanged, HSV-1 infection prompted accumulation of cytoplasmic PABPC1, but not its physiologic binding partner PABP-interacting protein 2 (Paip2), in the nucleus. Using glutathione S-transferase-PABP pull-down and proteomic analyses, we identified several viral proteins interacting with PABPC1 including tegument protein UL47 and infected-cell protein ICP27. Transient expression of ICP27 and UL47 in HeLa cells suggested that ICP27 and UL47 jointly displace Paip2 from PABP. ICP27 expression alone was sufficient to cause PABPC1 redistribution to the nucleus. ICP27 and UL47 did not alter translation efficiency of transfected reporter RNAs but modulated transcript abundance and expression of reporter cDNAs in transfected cells. This indicates that redistribution of PABPC1 may be involved in co- and posttranscriptional regulation of mRNA processing and/or nuclear export by HSV-1 gene regulatory proteins.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".