Toward Transgene-Free Induced Pluripotent Stem Cells: Lessons from Transdifferentiation Studies
Bibliographic record
Abstract
Abstract Regenerative medicine has received much attention over the years due to its clinical and commercial potential. The excitement around regenerative medicine waxes and wanes as new discoveries add to its foundation but are not immediately clinically applicable. The recent discovery of induced pluripotent stem cells has lead to a sustained effort from many research groups to develop clinically relevant regenerative medicine therapies. A major focus of cellular reprogramming is to generate safe cellular products through the use of proteins or small molecules instead of transgenes. The successful reprogramming of somatic nuclei to generate pluripotential cells capable of embryo development was pioneered over 50 years ago by Briggs and King and followed by Gurdon in the early 1960s. The success of these studies, the cloning of Dolly, and more current studies involving adult stem cells and transdifferentiation provide us with a large repository of potential candidate molecules and experimental systems that will assist in the generation of safe, transgene-free pluripotential cells.
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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 | 0.001 | 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 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".