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Updated: Jun 27, 2026

Identification and Characterization of Protein Glycosylation using Specific Endo- and Exoglycosidases
Published on: December 26, 2011
Glycosylation diseases: quo vadis?
Harry Schachter1, Hudson H Freeze
1Molecular Structure and Function Program, University of Toronto, Hospital for Sick Children, 555 University Avenue, Toronto, ON, Canada M5G 1X8. harry@sickkids.ca
Glycogene mutations cause over 40 congenital diseases, with many more likely undiscovered. Understanding glycogene function is crucial for diagnosing and treating these complex genetic disorders.
Area of Science:
- Genetics
- Biochemistry
- Molecular Biology
Background:
- Glycogenes, essential for glycan assembly, constitute 1-2% of the human genome.
- Over 40 congenital diseases linked to glycogene mutations are known, with many more suspected.
- Mutations in glycogenes affecting multiple glycan classes cause complex phenotypes and diagnostic challenges.
Purpose of the Study:
- To highlight the significance of glycogene mutations in congenital diseases.
- To emphasize the need for understanding glycogene function for diagnosis and treatment.
- To address the challenges in identifying glycogene targets and developing new diagnostic and therapeutic approaches.
Main Methods:
- Biochemical methods have been instrumental in discovering disease-causing glycogenes.
- Emerging techniques like homozygosity mapping are increasingly necessary.
- Identifying glycogene target proteins and their roles in disease remains a significant challenge.
Main Results:
- Glycogene mutations are implicated in a growing number of congenital diseases.
- Complex phenotypes arise from mutations in glycogenes with broad glycan synthesis roles.
- Current diagnostic and therapeutic strategies for glycogene-related disorders are limited.
Conclusions:
- Further research is needed to discover all causative glycogene mutations for congenital diseases.
- Developing novel diagnostic procedures is essential for accurate patient diagnosis.
- Effective treatments and animal models are critically lacking for these disorders.
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