Role of syndecan-1 and exogenous heparin in hepatoma sphere formation
Bibliographic record
Abstract
Glycosaminoglycan-modified proteoglycans play important roles in many cell activities, including cell differentiation and stem cell development. Tumor sphere formation ability is one of properties in cancer stem cells (CSCs). The correlation between CSC markers and proteoglycan remains to be clarified. Upon hepatoma sphere formation, expression of CSC markers CD13, CD90, CD133, and CD44, as well the syndecan family protein syndecan-1 (SDC1), increased as analyzed by PCR. Further examination by suppression of CD13 expression showed downregulation of SDC1 and CD44 gene expression, whereas suppression of SDC1 gene expression downregulated CD13 and CD44 gene expression. Suppression of SDC1 gene expression also suppressed sphere development, as analyzed by a novel sphereocrit assay to quantify the level of sphere formation. The heparin disaccharide components, but not those of chondroitin disaccharide, changed with hepatoma sphere development, revealing the increased levels of N-sulfation and 2-O-sulfation. These explained the inhibition of hepatoma sphere formation by exogenous heparin. In conclusion, we found that SDC1 affected CSC marker CD13 and CD44 expression. SDC1 proteoglycan and heparin components changed and affected hepatoma sphere development. Application of heparin mimics in reduction of hepatoma stem cells might be possible.
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".