Insights Into the Hematopoietic Regulatory Activities of Osteoblast by Secretomics
Bibliographic record
Abstract
Abstract Osteoblasts are a key component of the endosteal hematopoietic stem cell niche and are recognized with strong hematopoietic supporting activity. Similarly, mesenchymal stromal cells (MSC)‐derived osteoblast (M‐OST) conditioned media (OCM) enhance the growth of hematopoietic progenitors in culture and modulate their engraftment activity. This article aims to characterize the hematopoietic supporting activity of OCM by comparing the secretome of M‐OST to that of their precursor. Over 300 proteins are quantified by mass spectroscopy in media conditioned with MSC or M‐OST, with 47 being differentially expressed. Growth factors, extracellular matrix proteins, and proteins from the complement pathways are included. The functional contribution of selected proteins on the growth and differentiation of cord blood (CB) progenitors is tested. Secreted protein acidic and rich in cysteine and Galectin 3 (Gal3) have little impact on the growth of CB cells in serum‐free medium (SFM). In contrast, inhibition of the complement 3A receptor (C3a‐R) present on CB progenitors significantly reduces the growth of CD34 + cells in OCM cultures but not in SFM. These results provide new insights into changes in factors released by MSC undergoing osteoblast differentiation, and on paracrine factors that are partially responsible for the hematopoietic supporting activity of osteoblasts.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".