Correction of the Dystrophic Phenotype by <i>In Vivo</i> Targeting of Muscle Progenitor Cells
Bibliographic record
Abstract
Successful gene therapy for most inherited diseases will require stable expression of the therapeutic gene. This can be addressed with integrating or self-replicating viruses by targeting postmitotic cells that have a long lifetime or stem cells that can replenish defective tissue with corrected cells. In this study, we explore the possibility of targeting a muscle stem cell population in situ through in vivo administration of vector. To develop this concept, we selected a mouse model of muscular dystrophy (mdx mice) that undergoes rapid turnover of muscle fibers. In vivo targeting of muscle progenitor cells, notably satellite cells, with a pseudotyped lentiviral vector encoding the minidystrophin restores dystrophin expression and provides functional correction in skeletal muscle of mdx mice. This study shows that progenitor cells can be genetically engineered in vivo and subsequently proliferate into terminally differentiated tissue carrying the genetic graft in a way that stably corrects function.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".