Efficient Herpes Simplex Virus 1 Replication Requires Cellular ATR Pathway Proteins
Bibliographic record
Abstract
Herpes simplex virus 1 (HSV-1) is a double-stranded DNA virus that replicates in the nucleus of the host cell and is known to interact with several components of the cellular DNA-damage-signaling machinery. We have previously reported that the DNA damage response kinase, ATR, is specifically inactivated in HSV-1-infected cells. On the other hand, we have also shown that ATR and its scaffolding protein, ATRIP, are recruited to viral replication compartments, where they play beneficial roles during HSV-1 replication. In order to better understand this apparent discrepancy, we tested the hypothesis that some of the components of the ATR pathway may exert an antiviral effect on infection. In fact, we learned that all 10 of the canonical ATR pathway proteins are stable in HSV-infected cells and are recruited to viral replication compartments; furthermore, short hairpin RNA (shRNA) knockdown shows that several, including ATRIP, RPA70, TopBP1, Claspin, and CINP, are required for efficient HSV-1 replication. We also determined that activation of the ATR kinase prior to infection did not affect virus yield but did result in reduced levels of recombination between coinfecting viruses. Together, these data suggest that ATR pathway proteins are not antiviral per se but that activation of ATR signaling may have negative consequences during viral replication, such as inhibiting recombination.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".