APOBEC3D excludes APOBEC3F from HIV-1 virions by competitive binding of RNA
Bibliographic record
Abstract
The human family of APOBEC3 enzymes are primarily studied as single-stranded DNA deoxycytidine deaminases that act as host restriction factors for a number of viruses and retroelements. The deamination of deoxycytidine to deoxyuridine causes inactivating mutations in target DNA and the nucleic acid binding ability may also cause deamination independent restriction. There are seven APOBEC3 enzymes in humans, named A-H, excluding E, each of which has restriction activity against a subset of viruses or retroelements. There are primarily four, APOBEC3D, APOBEC3F, APOBEC3G, and APOBEC3H that have been found to restrict replication of HIV-1, however their restriction activity varies and they have primarily been studied individually despite co-expression in the cells that HIV-1 infects. It is known that APOBEC3F hetero-oligomerizes with APOBEC3G and APOBEC3H and that this influences host restriction outcomes during HIV-1 infection in tissue culture. Here, we examined if APOBEC3F interacts with APOBEC3D and the functional outcomes. We found that APOBEC3D mRNA expression was similar to or higher than APOBEC3F mRNA in multiple donors, suggesting that the proteins would be co-expressed, allowing for interactions to occur. We determined that APOBEC3F and APOBEC3D interacted primarily through an RNA intermediate; however, this interaction resulted in APOBEC3D competitively excluding APOBEC3F from virions. Although HIV-1 restriction still occurred when APOBEC3F and APOBEC3D were co-expressed, it was due to primarily APOBEC3D-mediated deamination-independent restriction. The APOBEC3D-mediated exclusion of APOBEC3F from HIV-1 encapsidation could be recapitulated in vitro through RNA capture experiments in which APOBEC3D decreased or abrogated the ability of APOBEC3F to bind to HIV-1 protease or 5’UTR RNA, respectively. Overall, the data suggest that there are mechanisms at the protein level that segregate APOBEC3s into different virus particles.
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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 | 0.001 | 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".