A Novel Chimeric Molecule of Heparanase and Ig-Fc Enables Histochemical and Cytochemical Detection of O-sulfated Heparan Sulfate
Bibliographic record
Abstract
A chimeric protein of heparanase and Ig-Fc was designed as a novel tool to expand the detection of structurally heterogeneous heparan sulfate (HS) and related glycosaminoglycans. The whole mouse heparanase gene was combined with the gene segment encoding the mouse IgG1 hinge-Fc domain. A point mutation E335A was inserted to disable putative HS degradation activity. Chimeric proteins consisted of the latent form of the enzyme devoid of HS degradation activity. The chimeric proteins bound to heparin, N-desulfated heparin, and O-sulfated N-acetylheparosan. Their binding spectrum to glycosaminoglycans differed from that of anti-HS mAb 10E4. The chimeric proteins bound to Kato III and A549 cell lines. The binding was reduced by knocking down EXT1 gene expression. One of the chimeric proteins stained the epidermal cells in the hyperplastic spinous layer of inflamed atopic dermatitis skin and inflammatory cells in the dermis, which were not stained with mAb 10E4. The protein stained a polarized structure on the surface of monocytic U937 and THP1 cells. Similar polarized structures were observed with anti-syndecan-1 antibody staining. The chimeric protein and anti-syndecan-1 antibody precipitated similar sets of proteins that included syndecan-1 from the lysates of U937 cells. These novel chimeric proteins are useful to detect HS abundant in O-sulfation in histochemical, cytochemical, and biochemical studies.
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) | 0.001 | 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 | 0.001 | 0.001 |
| 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".