Characterisation of human gingival neural crest-derived stem cells in monolayer and neurosphere cultures
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Neural crest (NC)-derived stem cells (NCSC) have an exceptionally wide differentiation potential, but their use in regenerative therapy has been hampered by their scarcity in adult tissues and complex isolation protocols. Human oral mucosal gingiva may provide an attractive source of these cells as it contains NC-derived cells, the tissue is easily accessible and wound healing is fast and scarless with very little morbidity. To this end, we first investigated whether NC-derived cells are retained in adult gingiva by examining 8-months-old NC-reporter Wnt1-Cre/R26RYFP mice. We then hypothesised that gingival cell NC-like phenotype can be further enhanced by floating neurosphere cultures generated from standard human gingival fibroblast (GF) and pooled CFU-F (GSC) cultures. Findings showed that NC-derived cells are retained in the gingival connective tissue of aged mice. Human GFs and GSCs expressed NC-related genes nestin, Snai1, Twist1, Pax3, Sox9 and FoxD3, and generated neurospheres. This was mediated via calcium- and connexin 43-dependent cell communication, which is similar to neurospheres formed by neural progenitors. Cells in the spheres showed significantly increased expression of NC-related genes, and down regulation of fibroblast-related type I collagen. Structurally, the neurospheres were polarised with nestin positive cells located on the outer layers underlined with an extracellular matrix rich in molecules typical to embryonic NC. Sphere-derived cells expressed significantly elevated levels of neural markers, and differentiated into Tau, neurofilament-M and GFAP-positive cells suggesting neural differentiation potential. Thus, human GF and GSC cultures may provide an efficient source of NC-derived cells via enrichment by floating sphere cultures.
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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 | 0.000 | 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 it