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Omics-based Identification of Glycan Structures as Biomarkers for a Variety of Diseases.
Mol Inform 2019MI

Abstract

Glycans play important roles in cell communication, protein interaction, and immunity, and structural changes in glycans are associated with the regulation of a range of biological pathways involved in disease. However, our understanding of the detailed relationships between specific diseases and glycans is very limited. In this study, we proposed an omics-based method to investigate the correlations between glycans and a wide range of human diseases. We analyzed the gene expression patterns of glycogenes (glycosyltransferases and glycosidases) for 79 different diseases. A biological pathway-based glycogene signature was constructed to identify the alteration in glycan biosynthesis and the associated glycan structures for each disease state. The degradation of N-glycan and keratan sulfate, for example, may promote the growth or metastasis of multiple types of cancer, including endometrial, gastric, and nasopharyngeal. Our results also revealed that commonalities between diseases can be interpreted using glycogene expression patterns, as well as the associated glycan structure patterns at the level of the affected pathway. The proposed method is expected to be useful for understanding the relationships between glycans, glycogenes, and disease and identifying disease-specific glycan biomarkers.

Authors+Show Affiliations

Medical Institute of Bioregulation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka, Fukuoka, 812-8582, Japan.Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502, Japan.Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502, Japan.Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, 680-4 Kawazu, Iizuka, Fukuoka, 820-8502, Japan.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

31622036

Citation

Akiyoshi, Sayaka, et al. "Omics-based Identification of Glycan Structures as Biomarkers for a Variety of Diseases." Molecular Informatics, 2019.
Akiyoshi S, Iwata M, Berenger F, et al. Omics-based Identification of Glycan Structures as Biomarkers for a Variety of Diseases. Mol Inform. 2019.
Akiyoshi, S., Iwata, M., Berenger, F., & Yamanishi, Y. (2019). Omics-based Identification of Glycan Structures as Biomarkers for a Variety of Diseases. Molecular Informatics, doi:10.1002/minf.201900112.
Akiyoshi S, et al. Omics-based Identification of Glycan Structures as Biomarkers for a Variety of Diseases. Mol Inform. 2019 Oct 17; PubMed PMID: 31622036.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Omics-based Identification of Glycan Structures as Biomarkers for a Variety of Diseases. AU - Akiyoshi,Sayaka, AU - Iwata,Michio, AU - Berenger,Francois, AU - Yamanishi,Yoshihiro, Y1 - 2019/10/17/ PY - 2019/08/20/received PY - 2019/09/24/accepted PY - 2019/10/18/entrez KW - biomarker KW - disease KW - gene expression KW - glycan structure KW - glycogene KW - pathway JF - Molecular informatics JO - Mol Inform N2 - Glycans play important roles in cell communication, protein interaction, and immunity, and structural changes in glycans are associated with the regulation of a range of biological pathways involved in disease. However, our understanding of the detailed relationships between specific diseases and glycans is very limited. In this study, we proposed an omics-based method to investigate the correlations between glycans and a wide range of human diseases. We analyzed the gene expression patterns of glycogenes (glycosyltransferases and glycosidases) for 79 different diseases. A biological pathway-based glycogene signature was constructed to identify the alteration in glycan biosynthesis and the associated glycan structures for each disease state. The degradation of N-glycan and keratan sulfate, for example, may promote the growth or metastasis of multiple types of cancer, including endometrial, gastric, and nasopharyngeal. Our results also revealed that commonalities between diseases can be interpreted using glycogene expression patterns, as well as the associated glycan structure patterns at the level of the affected pathway. The proposed method is expected to be useful for understanding the relationships between glycans, glycogenes, and disease and identifying disease-specific glycan biomarkers. SN - 1868-1751 UR - https://www.unboundmedicine.com/medline/citation/31622036/Omics-based_Identification_of_Glycan_Structures_as_Biomarkers_for_a_Variety_of_Diseases DB - PRIME DP - Unbound Medicine ER -
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