DNA Palindromes with a Modest Arm Length of ≳20 Base Pairs Are a Significant Target for Recombinant Adeno-Associated Virus Vector Integration in the Liver, Muscles, and Heart in Mice
Bibliographic record
Abstract
Our previous study has shown that recombinant adeno-associated virus (rAAV) vector integrates preferentially in genes, near transcription start sites and CpG islands in mouse liver (H. Nakai, X. Wu, S. Fuess, T. A. Storm, D. Munroe, E. Montini, S. M. Burgess, M. Grompe, and M. A. Kay, J. Virol. 79:3606-3614, 2005). However, the previous method relied on in vivo selection of rAAV integrants and could be employed for the liver but not for other tissues. Here, we describe a novel method for high-throughput rAAV integration site analysis that does not rely on marker gene expression, selection, or cell division, and therefore it can identify rAAV integration sites in nondividing cells without cell manipulations. Using this new method, we identified and characterized a total of 997 rAAV integration sites in mouse liver, skeletal muscle, and heart, transduced with rAAV2 or rAAV8 vector. The results support our previous observations, but notably they have revealed that DNA palindromes with an arm length of greater, similar 20 bp (total length, greater, similar 40 bp) are a significant target for rAAV integration. Up to approximately 30% of total integration events occurred in the vicinity of DNA palindromes with an arm length of greater, similar 20 bp. Considering that DNA palindromes may constitute fragile genomic sites, our results support the notion that rAAV integrates at chromosomal sites susceptible to breakage or preexisting breakage sites. The use of rAAV to label fragile genomic sites may provide an important new tool for probing the intrinsic source of ongoing genomic instability in various tissues in animals, studying DNA palindrome metabolism in vivo, and understanding their possible contributions to carcinogenesis and aging.
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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 | 0.002 | 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".