HIV-1 requires Staufen1 to dissociate stress granules and to produce infectious viral particles
Bibliographic record
Abstract
The human immunodeficiency virus type 1 (HIV-1) genomic RNA (vRNA) has two major fates during viral replication: to serve as the template for the major structural and enzymatic proteins, or to be encapsidated and packaged into assembling virions to serve as the genomic vRNA in budding viruses. The dynamic balance between vRNA translation and encapsidation is mediated by numerous host proteins, including Staufen1. During HIV-1 infection, HIV-1 recruits Staufen1 to assemble a distinct ribonucleoprotein complex promoting vRNA encapsidation and viral assembly. Staufen1 also rescues vRNA translation and gene expression during conditions of cellular stress. In this work, we utilized novel Staufen1 −/− gene-edited cells to further characterize the contribution of Staufen1 in HIV-1 replication. We observed a marked deficiency in the ability of HIV-1 to dissociate stress granules (SGs) in Staufen1-deficient cells and remarkably, the vRNA repositioned to SGs. These phenotypes were rescued by Staufen1 expression in trans or in cis , but not by a dsRBD-binding mutant, Staufen1F135A. The mistrafficking of the vRNA in these Staufen1 −/− cells was also accompanied by a dramatic decrease in viral production and infectivity. This work provides novel insight into the mechanisms by which HIV-1 uses Staufen1 to ensure optimal vRNA translation and trafficking, supporting an integral role for Staufen1 in the HIV-1 life cycle, positioning it as an attractive target for next-generation antiretroviral agents.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 0.006 |
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 teacher head, 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".