Microtopographical regulation of adult bone marrow progenitor cells chondrogenic and osteogenic gene and protein expressions
Bibliographic record
Abstract
Microtopographic features affect diverse cell behaviors. Adult bone marrow progenitor cells (AMPCs) constitute a multipotent heterogeneous population. We hypothesized that microtopographies could direct AMPCs lineage-specific differentiation. AMPCs isolated from Sprague-Dawley rats were CD45 depleted, expanded, and plated at 10(5) cells/cm2 on epoxy-microfabricated: (1) 60-microm-deep grooves with 95-microm pitch (D60P95), (2) 55-microm-wide and 10-microm-deep squares (W55D10), (3) 30-microm-deep grooves with 45-microm pitch (D30P45), (4) 17-microm-wide and 10-microm-deep pillars (W17D10), and (5) smooth control. AMPCs were cultured using expansion, chondrogenesis, or osteogenesis supporting media. Cell cultures were examined by scanning electron microscopy, qRT-PCR, and immunostaining at 2, 9, 16, and 23 days after plating. Expressions of osteogenesis-related genes, such as Runx-2, alkaline phosphatase, osteopontin, osteocalcin, and parathyroid hormone-related protein receptor (PTHr), and chondrogenesis-associated genes, such as Sox-9, type II collagen, and aggrecan, were determined. In expansion medium, W55D10 induced a transient increase of Sox9 expression. Compared with smooth surfaces, type II collagen mRNA and protein expressions in chondrogenic medium were significantly upregulated on W55D10 by day 23. In contrast, osteocalcin and PTHr expressions were significantly increased on D30P45 in osteogenic medium. We have demonstrated that W55D10 and D30P45 enhanced AMPCs chondrogenic and osteogenic terminal differentiation with appropriate culture conditions.
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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".