Integrated approach toward the discovery of glyco-biomarkers of inflammation-related diseases.
作者： Takashi Angata , Reiko Fujinawa , Ayako Kurimoto , Kazuki Nakajima , Masaki Kato
DOI: 10.1111/J.1749-6632.2012.06469.X
关键词: Disease 、 Biomarker discovery 、 Biology 、 Bioinformatics 、 Systems biology 、 Genomics 、 Glycomics 、 Cancer 、 Glycobiology 、 Proteomics
摘要: Glycobiology has contributed tremendously to the discovery and characterization of cancer-related biomarkers containing glycans (i.e., glyco-biomarkers) a more detailed understanding cancer biology. It is now recognized that most chronic diseases involve some elements inflammation; these include cancer, Alzheimer's disease, metabolic syndrome (including consequential diabetes mellitus cardiovascular diseases). By extending knowledge experience glycobiology community regarding biomarker discovery, we should be able contribute diagnostic/prognostic glyco-biomarkers other inflammation. Future integration large-scale "omics"-type data (e.g., genomics, epigenomics, transcriptomics, proteomics, glycomics) with computational model building, or systems approach, will facilitate such efforts.
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