<i>In Vitro</i> Maturation of Human iPSC-Derived Neuroepithelial Cells Influences Transplant Survival in the Stroke-Injured Rat Brain
Why this work is in the frame
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Bibliographic record
Abstract
Stem cell transplantation is a promising strategy for brain tissue regeneration; yet, despite some success, cell survival following transplantation remains low. In this study, we demonstrate that cell viability is enhanced by control over maturation of neuronal precursor cells, which are delivered in an injectable blend of hyaluronan and methylcellulose. We selected three subpopulations of human neuronal precursor cells derived from a cortically specified neuroepithelial stem cell (cNESC) population based on differences in expression of multipotent and neuron-specific proteins: early-, mid-, and late-differentiated neurons. These cells were transplanted into an endothelin-1 stroke-injured rat brain and their survival and fate were investigated 1 week later. Significantly, more cells were found in the brain after transplanting early- or mid- differentiated cNESCs compared to the late-differentiated population. The mid-differentiated population also had significantly more β-III tubulin-positive cells than either the early- or late-differentiated populations. These results suggest that maturity has a significant impact on cell survival following transplantation and cells with an intermediate maturity differentiate to neurons.
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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 it