Expression profile of the embryonic markers nanog, OCT‐4, SSEA‐1, SSEA‐4, and frizzled‐9 receptor in human periodontal ligament mesenchymal stem cells
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
Mesenchymal stem cells (MSCs) are self-renewing cells with the ability to differentiate into various mesodermal-derived tissues. Recently, we have identified in adult human periodontal ligament (PDL) a population of stem cells (PDL-MSCs) with the ability to differentiate into osteoblasts and adipocytes. The aim of the present work was to further characterize this population and the expression profile of its cells. To achieve our objective we have used flow cytometry, magnetic cell sorting, cytokine antibody array, and light and electron microscope immunostaining. Our results show that the PDL-MSCs contain a subpopulation of frizzled-9 (CD349) positive cells expressing a panel of key mesenchymal and embryonic markers including CD10, CD26, CD29, CD44, CD73, CD90, CD105, CD166, SSEA-1, and SSEA-4. They are additionally positive for nanog and Oct-4; two critical transcription factors directing self-renewal and pluripotency of embryonic stem cells, and they also express the cytokines EGF and IP-10. The presence of nanog, Oct-4, SSEA-1, and SSEA-4 suggests that PDL-MSCs are less differentiated than bone marrow-derived MSCs. Taken together, these data indicate the presence of immature MSCs in PDL and suggest that the frizzled-9/Wnt pathway plays an important role in regulating proliferation and differentiation of these cells.
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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