A novel purification method for multipotential skeletal stem cells
Bibliographic record
Abstract
At least some cells within bone marrow stromal populations are multipotential (i.e., differentiate in vitro into osteoblasts, chondrocytes, and adipocytes) and thus designated skeletal stem cells (SSCs) or mesenchymal stem cells (MSCs) amongst other names. Recently, a subpopulation of stromal cells, notably osteoblasts or their progenitors, has been identified as a definitive regulatory component of the hematopoietic stem cell (HSC) niche. Thus, the development of methods for purifying not only SSCs but cells comprising the HSC niche is of interest. Here, we report a method for purifying a novel bone marrow-derived population with a high frequency of osteoprogenitors and high expression levels of osteoblast differentiation markers (highly purified osteoprogenitors (HipOPs)) as well as markers of the bone niche for HSCs. In vivo transplantation experiments demonstrated that donor HipOPs differentiated into not only osteoblasts, osteocytes and cells around sinusoids but also hematopoietic cells. Thus, HipOPs represent a novel population for simultaneous reconstruction of bone and bone marrow microenvironments.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".