HIV DNA is heavily uracilated, which protects it from autointegration
Bibliographic record
Abstract
Human immune cells infected by HIV naturally contain high uracil content, and HIV reverse transcriptase (RT) does not distinguish between dUTP and dTTP. Many DNA viruses and retroviruses encode a dUTPase or uracil-DNA glycosylase (UNG) to counteract uracil incorporation. However, although HIV virions are thought to contain cellular UNG2, replication of HIV produced in cells lacking UNG activity does not appear to be impaired. Here we show that HIV reverse transcripts generated in primary human immune cells are heavily uracilated (>500 uracils per 10 kb HIV genome). We find that HIV DNA uracilation, rather than being dangerous, may promote the early phase of the viral life cycle. Shortly after reverse transcription, the ends of the HIV DNA are activated by the viral integrase (IN) in preparation for chromosomal insertion. However, the activated ends can attack the viral DNA itself in a suicidal side pathway, called autointegration. We find here that uracilation of target DNA inhibits the strand transfer of HIV DNA ends by IN, thereby inhibiting autointegration and facilitating chromosomal integration and viral replication. When uracilation is increased by incubating uracil-poor cells in the presence of increasing concentrations of dUTP or by infecting with virus that contains the cytosine deaminase APOBEC3G (A3G), the proportion of reverse transcripts that undergo suicidal autointegration decreases. Thus, HIV tolerates, or even benefits from, nonmutagenic uracil incorporation during reverse transcription in human immune 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".