Extraction of Aggrecan-Peptide from Cartilage by Tissue Autolysis
Bibliographic record
Abstract
Aggrecan is a cartilage specific proteoglycan containing chondroitin sulfate (CS) and keratan sulfate (KS). CS is an acidic polysaccharide having wide range of applications in pharmaceutical, cosmetic, and food industries. CS is extracted from cartilage by tissue proteolysis with an exogenous proteinase or by activating endogenous proteinases (autolysis) to release aggrecan-peptides from the tissue. This review is focused on the latter technique. Bovine nasal and tracheal cartilages, and broiler chicken sternum cartilage have been used for autolysis studies. To extract aggrecan-peptide, cartilage tissues are cut into small pieces, and incubated in a monovalent or divalent salt solution (e.g., 0.1 M sodium or calcium acetate) at pH 4.5 and 37 °C for 7 - 24 h. Most (~80% or more) of total tissue uronic acid, a constituent sugar of aggrecan, is extracted and released into the salt solution during incubation. Reextraction of the tissue residue results in release of a small amount of uronic acid. Aggrecan-peptides purified using anion exchange chromatography are large compounds containing CS and KS. On gel chromatography, they are excluded from the column of Sephacryl S-300. Chemical composition analysis demonstrated that aggrecan-peptides from either bovine or chicken cartilage contain >90% CS with small amount (< 10%) of either KS or peptide. Patent information included production of aggrecan-peptide substantially free of DNA. The bovine aggrecan-peptide prepared by tissue autolysis has been used as a plate coating antigen in enzyme- linked immunosorbent assay (ELISA) to determine KS.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".