Histochemical Localization of Alkaline Phosphatase Activity in Decalcified Bone and Cartilage
Bibliographic record
Abstract
We have developed methodology that enables alkaline phosphatase (ALP) to be histochemically stained reproducibly in decalcified paraffin-embedded bone and cartilage of rodents. Proximal tibiae and fourth lumbar vertebrae were fixed in periodate-lysine-paraformaldehyde (PLP) fixative, decalcified in an EDTA-G solution, and embedded in paraffin. In the articular cartilage of the proximal tibia, ALP activity was localized to the hypertrophic chondrocytes and cartilage matrix of the deep zone and the maturing chondrocytes of the intermediate zone. The cells and matrix in the superficial zone did not exhibit any enzyme activity. In tibial and vertebral growth plates, a progressive increase in ALP expression was seen in chondrocytes and cartilage matrix, with activity being weakest in the proliferative zone, higher in the maturing zone, and highest in the hypertrophic zone. In bone tissue, ALP activity was detected widely in pre-osteoblasts, osteoblasts, lining cells on the surface of trabeculae, some newly embedded osteocytes, endosteal cells, and subperiosteal cells. In areas of new bone formation, ALP activity was detected in osteoid. In the bone marrow, about 20% of bone marrow cells expressed ALP activity. In adult rats, the thickness of the growth plates was less and ALP activity was enhanced in maturing and hypertrophic chondrocytes, cartilage matrix in the hypertrophic zone, and primary spongiosa. This is the first time that ALP activity has been successfully visualized histochemically in decalcified, paraffin-embedded mineralized tissues. This technique should prove to be a very convenient adjunct for studying the behavior of osteoblasts during osteogenesis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".