Characterization of the Murine Hyaluronidase Gene Region Reveals Complex Organization and Cotranscription ofHyal1 with Downstream Genes, Fus2 andHyal3
Bibliographic record
Abstract
Hyaluronidases are required for the breakdown of hyaluronan (HA), an abundant component of the extracellular matrix of vertebrate tissues. Multiple hyaluronidase genes have been identified, but the only clue to the function of their products has come from the identification of hyaluronidase 1 deficiency in a single patient with a mild clinical phenotype. As a first step in the generation of mice with hyaluronidase deficiency, we have used experimental and bioinformatic approaches to examine the organization of the mouse chromosome 9 region containing, in order, Hyal2, Hyal1, and Hyal3. This region was found to be complex, with Fus2 partially embedded in Hyal3, and Ifrd2 immediately downstream from Hyal3. The Hyal genes were all found to have four exons, and exons 2-4 exhibited the highest sequence conservation. Northern blot analysis demonstrated that the tissue expression profile for Hyal1 was similar in mice and humans, but a greater number of transcripts was detected in mouse tissues. Hyal3 was expressed more broadly in mice compared with humans and again exhibited additional transcripts. Reverse transcription-PCR demonstrated that some of the larger Hyal1 transcripts, seen on the Northern blot, were the result of cotranscription of Hyal1 with downstream genes, Fus2 or Hyal3. In vitro transcription/translation of one of the high abundance bicistronic transcripts produced Hyal 1, suggesting that Hyal 1 could be produced from all of the bicistronic transcripts. Characterization of the region including mouse Hyal1 and Hyal3 revealed complex organization and transcription that must be considered in the development and interpretation of mouse models involving genes in this region.
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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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".