Scarless Genome Editing of Human Pluripotent Stem Cells via Transient Puromycin Selection
Bibliographic record
Abstract
Genome-edited human pluripotent stem cells (hPSCs) have broad applications in disease modeling, drug discovery, and regenerative medicine. We present and characterize a robust method for rapid, scarless introduction or correction of disease-associated variants in hPSCs using CRISPR/Cas9. Utilizing non-integrated plasmid vectors that express a puromycin N-acetyl-transferase (PAC) gene, whose expression and translation is linked to that of Cas9, we transiently select for cells based on their early levels of Cas9 protein. Under optimized conditions, co-delivery with single-stranded donor DNA enabled isolation of clonal cell populations containing both heterozygous and homozygous precise genome edits in as little as 2 weeks without requiring cell sorting or high-throughput sequencing. Edited cells isolated using this method did not contain any detectable off-target mutations and displayed expected functional phenotypes after directed differentiation. We apply the approach to a variety of genomic loci in five hPSC lines cultured using both feeder and feeder-free conditions.
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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 | 0.001 |
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".