{"title":"Novel glycan-related biomarker discovery by total glycomic and focused protein glycomic analyses.","authors":"Hisatoshi Hanamatsu, Goki Suda, Masatsugu Ohara, Masaki Kurogochi, Naoya Sakamoto, Jun-Ichi Furukawa","doi":"10.1038/s10038-025-01377-3","DOIUrl":null,"url":null,"abstract":"<p><p>The cell surface is covered with a variety of glycan subtypes (sub-glycans) such as N-glycans, O-glycans, glycosphingolipid-glycans, and glycosaminoglycans, which are collectively called the glycocalyx. The expression patterns of sub-glycans change in response to various biological events during disease pathogenesis; however, the structures of all major sub-glycans and their relative concentrations in a cell have been hardly reported. Total glycomic analysis, which comprehensively measures all major sub-glycans, is a powerful tool to discover cellular and clinical biomarkers. In this review, we provide an overview of the analytical methods for sub-glycans and the total glycome in cultured cell lines, human serum, mouse brain tissue, and human osteoarthritis cartilage. This approach not only facilitates characterization of cells, but also has applications for hierarchical clustering analysis, glycan-related biomarker discovery, and investigation of the relationship between sub-glycans and gene expression levels using the total glycome. Moreover, we discuss our recent research focused on identifying potential biomarkers of nonalcoholic fatty liver disease. These glycomic technologies are expected to contribute to diagnostics and drug development for rare diseases in the future.</p>","PeriodicalId":16077,"journal":{"name":"Journal of Human Genetics","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Human Genetics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1038/s10038-025-01377-3","RegionNum":3,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
The cell surface is covered with a variety of glycan subtypes (sub-glycans) such as N-glycans, O-glycans, glycosphingolipid-glycans, and glycosaminoglycans, which are collectively called the glycocalyx. The expression patterns of sub-glycans change in response to various biological events during disease pathogenesis; however, the structures of all major sub-glycans and their relative concentrations in a cell have been hardly reported. Total glycomic analysis, which comprehensively measures all major sub-glycans, is a powerful tool to discover cellular and clinical biomarkers. In this review, we provide an overview of the analytical methods for sub-glycans and the total glycome in cultured cell lines, human serum, mouse brain tissue, and human osteoarthritis cartilage. This approach not only facilitates characterization of cells, but also has applications for hierarchical clustering analysis, glycan-related biomarker discovery, and investigation of the relationship between sub-glycans and gene expression levels using the total glycome. Moreover, we discuss our recent research focused on identifying potential biomarkers of nonalcoholic fatty liver disease. These glycomic technologies are expected to contribute to diagnostics and drug development for rare diseases in the future.
期刊介绍:
The Journal of Human Genetics is an international journal publishing articles on human genetics, including medical genetics and human genome analysis. It covers all aspects of human genetics, including molecular genetics, clinical genetics, behavioral genetics, immunogenetics, pharmacogenomics, population genetics, functional genomics, epigenetics, genetic counseling and gene therapy.
Articles on the following areas are especially welcome: genetic factors of monogenic and complex disorders, genome-wide association studies, genetic epidemiology, cancer genetics, personal genomics, genotype-phenotype relationships and genome diversity.