The HUSH epigenetic repressor complex silences PML nuclear body-associated HSV-1 quiescent genomes
Bibliographic record
Abstract
Herpes simplex virus 1 (HSV-1) latently infected neurons display diverse patterns in the distribution of the viral genomes within the nucleus. A key pattern involves quiescent HSV-1 genomes sequestered in promyelocytic leukemia nuclear bodies (PML NBs) forming viral DNA-containing PML-NBs (vDCP NBs). Using a cellular model that replicates vDCP NB formation, we previously demonstrated that these viral genomes are chromatinized with the H3.3 histone variant modified on its lysine 9 by trimethylation (H3.3K9me3), a mark associated with transcriptional repression. Here, we identify the HUSH complex and its effectors, SETDB1 and MORC2, as crucial for the acquisition of H3K9me3 on PML NB-associated HSV-1 and the maintenance of HSV-1 transcriptional repression. ChIP-seq analyses show H3K9me3 association with the entire viral genome. Inactivating the HUSH-SETDB1-MORC2 complex before infection significantly reduces H3K9me3 on the viral genome, with minimal impact on the cellular genome, aside from expected changes in LINE-1 retroelements. Depletion of HUSH, SETDB1, or MORC2 alleviates HSV-1 repression in infected primary human fibroblasts and human induced pluripotent stem cell-derived sensory neurons (hiPSDN). We found that the viral protein ICP0 induces MORC2 degradation via the proteasome machinery. This process is concurrent with ICP0 and MORC2 depletion capability to reactivate silenced HSV-1 in hiPSDN. Overall, our findings underscore the robust antiviral function of the HUSH-SETDB1-MORC2 repressor complex against a herpesvirus by modulating chromatin marks linked to repression, thus presenting promising avenues for anti-herpesvirus therapeutic strategies.
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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) | 0.002 | 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".