作者: Tomomi Hashidate , Ken-ichi Kasai , Jun Hirabayashi
DOI:
关键词: Galectin 、 Bioinformatics 、 In silico 、 Computational biology 、 Glycan 、 Context (language use) 、 Computer science 、 Glycosylation 、 Glycoproteomics 、 Glycome 、 Glycomics
摘要: Protein glycosylation is a critical issue of post-genome science not only because it one the major post-translational modifications but also has significant effects on protein properties and functions. The glyco-catch method was recently developed as novel affinity technique for comprehensive analysis glycoproteins in context glycomics, which defined research targeting whole set glycans produced an organism (Hirabayashi J, Kasai K, Trends Glycosci Glycotechnol 2000;12:1-5). This enables us to identify possible glycoprotein genes well sites systematic manner by combining conventional lectin chromatography concurrent silico database searching J Chromatogr B 2002; 771:67-87). Application strategy simple organism, Caenorhabditis elegans, already proved its practical validity Kaji H, Isobe T, Biochem (Tokyo) 2002;132:103-114). Accumulation data variety organisms entire genome information available should thus reveal biological meaning complex carbohydrates from global viewpoint, that is, under concept "genome-proteomeglycome." In this article, we briefly review issues demonstrate usefulness identification complex-type N-glycoproteins mouse liver were captured galectin-1, galectin mammals. Future plans technical improvement construction glycome are described.