Adipogenesis in Nonadherent and Adherent Bone Marrow Stem Cells Grown in Fibrin Gel and in the Presence of Adult Plasma
Bibliographic record
Abstract
Bone marrow-derived mesenchymal stem cells (i.e., adherent cells) are known to differentiate into fat tissue in the presence of adipogenic supplements in cultures. Induction of adipogenesis has not been investigated within the nonadherent cell fraction that includes predominantly hematopoietic cells. In the present study, murine nonadherent bone marrow-derived stem cells (96% CD45+ cells) were seeded and then grown in fibrin gel to form cell clusters in which most cells were positive to DiI-acetylated low-density lipoprotein uptake. Amongst different culture media supplemented either in fetal bovine serum, horse serum, murine plasma, human plasma or adipogenic supplements, a subpopulation of nonadherent stem cells within clusters differentiated into adipocytes, specifically in the presence of adult syngeneic plasma. This was confirmed by the observation and quantification of oil red O-positive cells, the measurement of glycerol-3-phosphate dehydrogenase activity and peroxisome proliferator-activated receptor-gamma mRNA expression. Similarly, adipogenesis was also observed in the presence of murine plasma with adherent mesenchymal stem cells and 3T3-L1 preadipocytes which were grown either in monolayer plastic cultures or in fibrin gel. Thus, it is possible that nonadherent cells, once in a 3-dimensional environment, can further differentiate towards adipogenesis.
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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".