Effective and stable gene transduction in rhesus macaque iPSCs capable of T-lineage differentiation utilizing the piggyBac system
Bibliographic record
Abstract
Introduction: Genetically modified human induced pluripotent stem cell (iPSC)-based regenerative medicine has substantial potential in the treatment of refractory human diseases. Thus, preclinical studies on the safety and efficacy of these products are essential. Non-human primate (NHP) models such as the rhesus macaque are highly similar to humans in terms of size, lifespan, and immune system, rendering them superior models. However, effective gene transduction in rhesus macaque iPSCs (Rh-iPSCs) remains challenging. In this study, we investigated the effective gene transduction into Rh-iPSCs and its effect on differentiation efficiency. Methods: We established a gene transduction method using the piggyBac transposon vector system. Gene transduced Rh-iPSCs were analyzed for undifferentiated markers. We did teratoma assay to check pluripotency. Gene transduced Rh-iPSCs were differentiated into hematopoietic stem and progenitor cells (HSPCs) and T-cell lineage cells. Additionally, gene transduced Rh-iPSCs were compared the differentiation efficiency with parental Rh-iPSCs. Results: We could establish a gene transduction method using the piggyBac transposon vector system, demonstrating high efficiency and stable transgene expression in Rh-iPSCs. These Rh-iPSCs maintained long-term gene expression while expressing undifferentiated markers. Teratoma assay indicated that these Rh-iPSCs had pluripotency. These Rh-iPSCs could differentiate into HPSCs and T cells that express transgenes. These Rh-iPSCs can differentiate into hematopoietic stem cells and T cells that express transgenes. No significant differences in efficiency of differentiation were observed between parental Rh-iPSCs and these Rh-iPSCs. Conclusions: These results indicate that the piggyBac transposon vector is an excellent gene transfer tool for rhesus macaque iPSCs and could contribute to the advancement of preclinical studies using rhesus macaque iPSCs.
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How this classification was reachedexpand
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 | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".