The Neuronal Host Cell Factor-Binding Protein Zhangfei Inhibits Herpes Simplex Virus Replication
Bibliographic record
Abstract
During lytic infection in epithelial cells the expression of herpes simplex virus type 1 (HSV-1) immediate-early (IE) genes is initiated by a multiprotein complex comprising the virion-associated protein VP16 and two cellular proteins, host cellular factor (HCF) and Oct-1. Oct-1 directly recognizes TAATGARAT elements in promoters of IE genes. The role of HCF is not clear. HSV-1 also infects sensory neurons innervating the site of productive infection and establishes a latent infection in these cells. It is likely that some VP16 is retained by the HSV-1 nucleocapsid as it reaches the neuronal nucleus. Its activity must therefore be suppressed for successful establishment of viral latency. Recently, we discovered an HCF-binding cellular protein called Zhangfei. Zhangfei, in an HCF-dependent manner, inhibits Luman/LZIP/CREB3, another cellular HCF-binding transcription factor. Here we show that Zhangfei is selectively expressed in human neurons. When delivered to cultured cells that do not normally express the protein, Zhangfei inhibited the ability of VP16 to activate HSV-1 IE expression. The inhibition was specific for HCF-dependent transcriptional activation by VP16, since a Gal4-VP16 chimeric protein was inhibited only on a TAATGARAT-containing promoter and not a on a Gal4-containing promoter. Zhangfei associated with VP16 and inhibited formation of the VP16-HCF-Oct-1 complex on TAATGARAT motifs. Zhangfei also suppressed HSV-1-induced expression of several cellular genes including topoisomerase IIalpha, suggesting that in addition to suppressing IE expression Zhangfei may have an inhibitory effect on HSV-1 DNA replication and late gene expression.
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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".