Biological Roles of Dermatan Sulphate Proteoglycans
Bibliographic record
Abstract
Dermatan sulphate-containing proteoglycans (DS-PGs) are widely distributed in the extracellular matrix of skin, sclera, tendon, cartilage and a variety of other connective tissues. Two species of dermatan sulphate proteoglycans, called DS-PGI and DS-PGII, have recently been isolated from mature bovine articular cartilages. In their monomeric forms, both DS-PGI and DS-PGII are polydisperse, have relative molecular masses (Mr) ranging from 80K to 140K, and possess protein cores with apparent Mr values of approximately 45K. DS-PGI readily self-associates whereas DS-PGII does not. Polyclonal and monoclonal antibodies against DS-PGII do not react with DS-PGI. DS-PGI and DS-PGII appear to possess different core proteins and represent two different species of dermatan sulphate proteoglycans. DS-PGs have dramatic effects on the biological functions of cells. For example, they inhibit the capacity of fibroblasts to adhere to a fibronectin substratum. BALB/c 3T3 cells were labelled with [3H]thymidine and plated onto dishes coated with plasma fibronectin, plasma fibronectin plus chondroitin sulphate proteoglycan (CS-PG, cartilage-specific proteoglycan monomer), or plasma fibronectin plus DS-PGs. In the absence of proteoglycan, approximately 55% of the cells were attached at 1 h. In the presence of CS-PG, cell attachment was slightly decreased. In the presence of DS-PGs, the adhesion of the fibroblasts to fibronectin was essentially abolished. Similar results were obtained if a plasma fibronectin substratum was preadsorbed with the DS-PGs and the DS-PGs were left in the attachment medium.
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 | 0.000 | 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".