Abstract 15404: Efficient and Persistent Transgene Expression by Minicircle Plasmid versus Standard Plasmid Using Ultrasound Targeted Microbubble Destruction
Bibliographic record
Abstract
Background: Ultrasound-targeted microbubble destruction (UTMD) is a non-invasive gene transfection technique using carrier microbubbles and targeted high power ultrasound, primarily used to deliver plasmid DNA (pDNA). Minicircle-DNA (mcDNA) is a novel gene vector, which has recently been shown to have an improved and persistent transfection, compared to conventional pDNA. Hypothesis: We hypothesized that UTMD of mcDNA in a hind-limb model would exhibit a more potent and prolonged gene expression compared to conventional pDNA. Methods: In vitro , HUVECs, fibroblasts (3T3) and neonatal cardiomyocytes were transfected with molar equivalents of GFP-minicircle and GFP-plasmid. GFP expression was measured by RT-PCR and fluorescent microscopy for 28 days. We then performed a comparison of bubble binding capacities of both vectors to cationic lipid microbubbles. In vivo , for UTMD to the left proximal hind-limb adductor muscle, 500μg and 214μg of GFP-plasmid and GFP-minicircle respectively were charge-coupled with 1x10 9 cationic microbubbles and delivered via UMGD into Sprague-Dawley rats (n=30). The animals were followed for 28 days with GFP measured by RT-PCR and immunohistochemistry. Results: In vitro results showed greater GFP expression by mcDNA across all cell lines, with 7-10 fold transfection efficacy compared to pDNA. mcDNA demonstrated greater binding capacity to cationic microbubbles compared to pDNA. For plasmid and minicircle DNA, binding saturations were reached at ~6000 copies per microbubble, and ~20000 copies per microbubble respectively, suggesting a higher minicircle bubble binding efficiency. In vivo results showed higher GFP levels as early as 6 hours post minicircle UTMD, demonstrating minicircle to be a faster acting therapeutic agent over conventional plasmid. A significantly greater (p<0.01) expression of GFP was also evident at day 28 in minicircle UTMD-treated group, proving mcDNA to be a better choice for longer-term gene expression. Conclusions: In summary, UTMD using mcDNA results in more rapid and sustained transfection compared to conventional pDNA, and may be a more effective vector for translational studies of UTMD.
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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) | 0.002 | 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".