Arsenic modulates APOBEC3G-mediated restriction to HIV-1 infection in myeloid dendritic cells
Bibliographic record
Abstract
DC are major targets of HIV-1 during the early events of infection. Yet, HIV-1 infects these cells only inefficiently in vitro as compared with CD4+T lymphocytes. Accordingly, we have previously identified a strong post-entry block to HIV-1 replication in MDDC as a result of the cellular restriction factor A3G. Furthermore, we have demonstrated that As₂O₃, a drug used to treat acute promyelocytic leukemia, can fully eliminate the potent post-entry restriction of HIV-1 infection in MDDC and in blood-derived MyDC by mechanisms that were unclear. We are now exploring the interplay between As₂O₃ and A3G-mediated restriction in primary DC subsets. Here, we report that As₂O₃ counteracts A3G-mediated restriction in MyDC but not in MDDC. RNAi of A3G in MyDC indicated that the As₂O₃-mediated increase of HIV-1 infection was largely dependent on the presence of the cellular restriction factor. This study reveals an unexpected interplay between As₂O₃ and A3G-mediated restriction to HIV-1 infection in primary human MyDC.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
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".