ESCRT‐II's involvement in HIV‐1 genomic RNA trafficking and assembly
Bibliographic record
Abstract
BACKGROUND INFORMATION: Several host proteins play crucial roles in the HIV-1 replication cycle. The endosomal sorting complex required for transport (ESCRT) exemplifies a large, multi-component host machinery that is required by HIV-1 for viral budding. ESCRT promotes the inward budding of vesicles from the membranes of late endosomes to generate multi-vesicular bodies. However, HIV-1 co-opts the ESCRT to enable outwards budding of virus particles from the plasma membrane, a phenomenon that is topologically similar to multi-vesicular body biogenesis. A role for ESCRTII in mRNA trafficking has been established in Drosophila in which the ESCRT-II components, Vps22 and Vps36, promote the localisation of the bicoid mRNA in the fertilised egg. This is achieved via specific interactions with the Staufen protein. In this work, we investigated a possible implication of ESCRT-II in the HIV-1 replication cycle. RESULTS: Co-immunoprecipitation analyses and live cell tri-molecular fluorescence complementation assays revealed that interactions between EAP30 and Gag and another between EAP30 and Staufen1 occur in mammalian cells. We then depleted EAP30 (the orthologue for Vps22) by siRNA to target ESCRT-II in HIV-1 expressing cells. This treatment disrupted ESCRT-II function and leads to the degradation of the two other ESCRT-II complex proteins, EAP45 and EAP20, as well as the associated Rab7-interacting lysosomal protein. The depletion of EAP30 led to dramatically reduced viral structural protein Gag and virus production levels, without any effect on viral RNA levels. On the contrary, the overexpression of EAP30 led to a several-fold increase in virus production. Unexpec-tedly, siRNA-mediated depletion of EAP30 led to a block to HIV-1 genomic RNA trafficking and resulted in the accumulation of genomic RNA in the nucleus and juxtanuclear domains. CONCLUSIONS: Our data provide the first evidence that the Staufen1-ESCRT-II interaction is evolutionarily conserved from lower to higher eukaryotes and reveal a novel role for EAP30 in the control of HIV-1 RNA trafficking and gene expression.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".