Ontogeny of Human Umbilical Cord Perivascular Cells: Molecular and Fate Potential Changes During Gestation
Bibliographic record
Abstract
Human umbilical cord-derived perivascular cells (PVCs) are a recently characterized source of mesenchymal stromal cells that has gained much interest in the field of cellular therapeutics. However, very little is known about the changes in fate potential and restrictions that these cells undergo during gestational development. This study is the first to examine the phenotypic, molecular, and functional properties of first trimester (FTM)-derived PVCs, outlining properties that are unique to this population when compared to term (TERM) counterparts. FTM- and TERM-PVCs displayed analogous mesenchymal, perivascular, and immunological immunophenotypes. Both PVCs could be maintained in culture without alteration to these phenotypes or mesenchymal lineage differentiation potential. Some unique features of FTM-PVCs were uncovered in this study: (1) while the gene signatures of FTM- and TERM-PVCs were similar, key differences were observed, namely, that the Oct4A and Sox17 proteins were detected in FTM-PVCs, but not in TERM counterparts; (2) FTM-PVCs exhibited a greater proliferative potential; and (3) FTM-PVCs were more efficient in their in vitro differentiation toward selective mesenchymal cell types, including the chondrogenic and adipogenic lineages, as well as toward neuronal- and hepatocyte-like lineages, when compared to TERM-PVCs. Both PVCs were able to generate osteocytes and cardiomyocyte-like cells with similar efficiencies in vitro. Overall, FTM-PVCs show more plasticity than TERM-PVCs with regard to fate acquisition, suggesting that a restriction in multipotentiality is imposed on PVCs as gestation progresses. Taken together, our findings support the idea that PVCs from earlier in gestation may be better than later sources of multipotent stromal cells (MSCs) for some regenerative medicine applications.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".