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dc.contributor.author | Smirnov I. | |
dc.contributor.author | Sibgatullina R. | |
dc.contributor.author | Urano S. | |
dc.contributor.author | Tahara T. | |
dc.contributor.author | Ahmadi P. | |
dc.contributor.author | Watanabe Y. | |
dc.contributor.author | Pradipta A.R. | |
dc.contributor.author | Kurbangalieva A. | |
dc.contributor.author | Tanaka K. | |
dc.date.accessioned | 2021-02-25T20:44:35Z | |
dc.date.available | 2021-02-25T20:44:35Z | |
dc.date.issued | 2020 | |
dc.identifier.issn | 1613-6810 | |
dc.identifier.uri | https://dspace.kpfu.ru/xmlui/handle/net/162345 | |
dc.description.abstract | © 2020 Wiley-VCH GmbH Natural glycoconjugates that form glycocalyx play important roles in various biological processes based on cell surface recognition through pattern recognition mechanisms. This work represents a new synthesis-based screening strategy to efficiently target the cancer cells by higher-order glycan pattern recognition in both cells and intact animals (mice). The use of the very fast, selective, and effective RIKEN click reaction (6π-azaelectrocyclization of unsaturated imines) allows to synthesize and screen various structurally well-defined glycoalbumins containing two and eventually four different N-glycan structures in a very short time. The importance of glycan pattern recognition is exemplified in both cell- and mouse-based experiments. The use of pattern recognition mechanisms for cell targeting represents a novel and promising strategy for the development of diagnostic, prophylactic, and therapeutic agents for various diseases including cancers. | |
dc.relation.ispartofseries | Small | |
dc.subject | biodistribution | |
dc.subject | higher-order heterogeneity | |
dc.subject | N-glycoalbumins | |
dc.subject | pattern recognition | |
dc.subject | tumor targeting | |
dc.title | A Strategy for Tumor Targeting by Higher-Order Glycan Pattern Recognition: Synthesis and In Vitro and In Vivo Properties of Glycoalbumins Conjugated with Four Different N-Glycan Molecules | |
dc.type | Article | |
dc.relation.ispartofseries-issue | 46 | |
dc.relation.ispartofseries-volume | 16 | |
dc.collection | Публикации сотрудников КФУ | |
dc.source.id | SCOPUS16136810-2020-16-46-SID85092713910 |