In vivo gene editing of human hematopoietic stem and progenitor cells using envelope-engineered virus-like particles
Bibliographic record
Abstract
Engineered virus-like particles (VLPs) are a promising technology for in vivo gene editing of human hematopoietic stem and progenitor cells (HSPCs). Here we design and test two different VLP envelopes for human HSPC editing in vitro and in vivo. The first is an optimized version of the baboon envelope BaEVTR, which efficiently transduces human HSPCs in vitro. We show that the optimized BaEVTR VLP enables in vivo editing of β2 microglobulin in long-term human HSPCs (31% at 8 weeks after dosing) and editing of two hemoglobinopathy-relevant loci, BCL11A and HBG1/2 (26% and 7.5%, respectively, at 5 days after dosing), inducing fetal hemoglobin. Our second VLP design uses a CD133-targeted envelope designed to reduce the transduction of mature blood cells and achieves higher in vivo specificity for HSPCs compared to the optimized BaEVTR VLP. As avoiding delivery in filter organs such as the liver would enhance efficiency and safety, we also demonstrate that both VLPs avoid human hepatocytes in a humanized liver model.
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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".