Biochemical Analysis of Hypermutation by the Deoxycytidine Deaminase APOBEC3A
Bibliographic record
Abstract
APOBEC3A belongs to a family of single-stranded DNA (ssDNA) DNA cytosine deaminases that are known for restriction of HIV through deamination-induced mutational inactivation, e.g. APOBEC3G, or initiation of somatic hypermutation and class switch recombination (activation-induced cytidine deaminase). APOBEC3A, which is localized to both the cytoplasm and nucleus, not only restricts HIV but can also initiate catabolism of cellular DNA. Despite being ascribed these roles, there is a paucity of data available on the biochemical mechanism by which APOBEC3A deaminates ssDNA. Here we assessed APOBEC3A deamination activity on ssDNA and in dynamic systems modeling HIV replication (cytoplasmic event) and DNA transcription (nuclear event). We find that APOBEC3A, unlike the highly processive APOBEC3G, exhibits low or no processivity when deaminating synthetic ssDNA substrates with two cytosines located 5-63 nucleotides apart, likely because of an apparent K(d) in the micromolar range (9.1 μm). APOBEC3A was able to deaminate nascently synthesized (-)DNA in an in vitro model HIV replication assay but induced fewer mutations overall in comparison to APOBEC3G. However, the data indicate that the target deamination motif (5'-TC for APOBEC3A and 5'-CC for APOBEC3G) and not the number of mutations best predicted the ability to mutationally inactivate HIV. We further assessed APOBEC3A for the ability to deaminate dsDNA undergoing transcription, which could allow for collateral deaminations to occur in genomic DNA similar to the action of activation-induced cytidine deaminase. That APOBEC3A was able to deaminate dsDNA undergoing transcription suggests a genomic cost of a deamination-based retroviral restriction system.
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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 | 0.000 | 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".