Protein <i>Trans</i> -Splicing as a Means for Viral Vector-Mediated <i>In Vivo</i> Gene Therapy
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
Inteins catalyze protein splicing in a fashion similar to how self-splicing introns catalyze RNA splicing. Splitinteins catalyze precise ligation of two separate polypeptides through trans-splicing in a highly specific manner. Here we report a method of using protein trans-splicing to circumvent the packaging size limit of gene therapy vectors. To demonstrate this method, we chose a large dystrophin gene and an adeno-associated viral (AAV) vector, which has a small packaging size. A highly functional 6.3-kb Becker-form dystrophin cDNA was broken into two pieces and modified by adding appropriate split-intein coding sequences, resulting in splitgenes sufficiently small for packaging in AAV vectors. The two split-genes, after codelivery into target cells, produced two polypeptides that spontaneously trans-spliced to form the expected Becker-form dystrophin protein in cell culture in vitro. Delivering the split-genes by AAV1 vectors into the muscle of a mouse model of Duchenne muscular dystrophy rendered therapeutic gene expression and benefits.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 | 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