CRISPR/Cas9 Inhibits Multiple Steps of HIV-1 Infection
Bibliographic record
Abstract
CRISPR/Cas9 is an adaptive immune system where bacteria and archaea have evolved to resist the invading viruses and plasmid DNA by creating site-specific double-strand breaks in DNA. This study tested this gene editing system in inhibiting human immunodeficiency virus type 1 (HIV-1) infection by targeting the viral long terminal repeat and the gene coding sequences. Strong inhibition of HIV-1 infection by Cas9/gRNA was observed, which resulted not only from insertions and deletions (indels) that were introduced into viral DNA due to Cas9 cleavage, but also from the marked decrease in the levels of the late viral DNA products and the integrated viral DNA. This latter defect might have reflected the degradation of viral DNA that has not been immediately repaired after Cas9 cleavage. It was further observed that Cas9, when solely located in the cytoplasm, inhibits HIV-1 as strongly as the nuclear Cas9, except that the cytoplasmic Cas9 does not act on the integrated HIV-1 DNA and thus cannot be used to excise the latent provirus. Together, the results suggest that Cas9/gRNA is able to target and edit HIV-1 DNA both in the cytoplasm and in the nucleus. The inhibitory effect of Cas9 on HIV-1 is attributed to both the indels in viral DNA and the reduction in the levels of viral DNA.
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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) | 0.001 | 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 | 0.001 | 0.001 |
| 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".