Non-Viral Engineering of Skin Precursor-Derived Schwann Cells for Enhanced NT-3 Production in Adherent and Microcarrier Culture
Bibliographic record
Abstract
Genetic engineering of stem cells and their derivatives has the potential to enhance their regenerative capabilities. Here, dendrimer- and lipofection-based approaches were used for non-viral neurotrophin-3 (NT-3) over-expression in Schwann cells differentiated from skin precursors (SKP-SCs). A variety of dendrimers were first tested for transfection efficiency on HEK 293T cells, with PAMAMNH2 G4 found most effective and used subsequently for SKP-SCs transfection. Plasmid-based expression resulted in increased NT-3 release from SKP-SCs in both adherent and microcarrier-based culture. In a proof-of-concept study, the microcarrier/SKP-SCs were implanted into the injured nerve, and transfected cells were shown to detach, integrate into the nerve tissue and associate with regenerating axons. Virus-free systems for transient neurotrophin expression are a feasible and biologically safe option to increase the therapeutic value of stem cells and stem cell-derived cells in nerve repair strategies. Further work to develop bioprocesses for expansion of SKP-SCs on microcarriers in bioreactors is still needed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".