Novel Adeno-associated Viruses Derived From Pig Tissues Transduce Most Major Organs in Mice
Bibliographic record
Abstract
Recently, development of Adeno-associated virus (AAV) vectors has been focusing on expanding the genetic diversity of vectors from existing sequences via directed evolution or epitope remapping. Apart from intelligent design, AAV isolation from natural sources remains an important source of new AAVs with unique biological features. In this study, several new AAV sequences were isolated from porcine tissues (AAVpo2.1, -po4, -po5, and -po6), which aligned in divergent new clades. Viral particles generated from these sequences displayed tissue tropism and transduction efficiency profile specific to each porcine-derived AAV. When delivered systemically, AAVpo2.1 targeted the heart, kidney, and muscle, AAVpo5 performed poorly but was able to transduce muscle fibers when injected intramuscularly, whereas AAVpo4 and -po6 efficiently transduced all the major organs sampled, contending with 'gold-standard' AAVs. When delivered systemically, AAVpo4 and -po6 were detected by polymerase chain reaction (PCR) and histochemical staining of the transgene product in adult mouse brain, suggesting that these vectors can pass through the blood-brain barrier with efficiencies that may be useful for the development of therapeutic approaches. Porcine tissues are antigenically similar to human tissues and by inference, porcine AAVs may provide fresh tools to contribute to the development of gene therapy-based solutions to human diseases.
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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 | 0.001 | 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 | 0.000 |
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 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".