Mouse Hyal3 encodes a 45- to 56-kDa glycoprotein whose overexpression increases hyaluronidase 1 activity in cultured cells
Bibliographic record
Abstract
Hyaluronidases are enzymes that mediate the breakdown of hyaluronan (HA), a large polysaccharide abundant in the extracellular matrix of vertebrate tissues. Six genes have been predicted to encode hyaluronidases in humans, but the protein products of only SPAM1, HYAL1, and HYAL2 have been characterized. We have now expressed the mouse Hyal3 gene product, hyaluronidase 3 (Hyal3), in Baby Hamster Kidney (BHK) cells and demonstrated the presence of multiple forms of Hyal3 ranging from approximately 45 to 56 kDa in expression lysates. Complete and partial digestions of the expressed protein with PNGase F showed three N-linked oligosaccharides accounted for all forms of Hyal3 detected in expression lysates. Most of these oligosaccharides were Endo H sensitive, indicating that they were high mannose or hybrid N-linked oligosaccharides. Subcellular fractionation of Hyal3-expressing BHK cells by density gradient centrifugation revealed most Hyal3 in a low-density vesicular population. Low levels of Hyal3 were detected in higher density vesicles, but no colocalization with the late endosomal/lysosomal marker Lamp1 was found by immunofluorescence microscopy. BHK cells stably expressing Hyal3 had increased acid-active hyaluronidase activity, but no such activity was detected when Hyal3 was transfected into Hyaluronidase 1 (Hyal1)-deficient fibroblasts. Overexpression of Hyal3 in BHK cells increased the Hyal1 protein and mRNA levels, suggesting that the increased hyaluronidase activity in these cells was due to Hyal1 rather than Hyal3. The results indicate that Hyal3 overexpressed in cultured cells lacks intrinsic hyaluronidase activity and that Hyal3 may contribute to HA metabolism by augmenting the activity of Hyal1.
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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) | 0.000 | 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 | 0.001 | 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".