Electroporation for DNA immunization: clinical application
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
DNA immunization is an attractive technology owing to its potential to induce balanced and long-lived immune responses. However, progress into the clinic has been hampered by the relatively low magnitude of the immune response typically induced following administration in large target species, which is likely due to low transfection efficiency as well as insufficient recruitment of antigen-presenting cells to the injection site. Electroporation addresses both of these limitations by inducing transiently enhanced cell membrane permeability, thus facilitating uptake of the DNA into the host cell and creating a low level of inflammation conducive to enhanced influx of antigen-presenting cells to the injection site. Consequently, electroporation-mediated delivery of DNA vaccines results in very significant improvements in the transfection efficiency and immune responses in comparison to conventional injection. Importantly, electroporation is effective in virtually every animal model tested to date and has a favorable safety profile, which is promising for clinical application. In support of the potential for electroporation in human disease situations, early clinical results suggest that the immunogenicity of DNA vaccines is greatly improved when delivered with electroporation.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 it