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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

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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


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  • Публикации сотрудников КФУ Scopus [24551]
    Коллекция содержит публикации сотрудников Казанского федерального (до 2010 года Казанского государственного) университета, проиндексированные в БД Scopus, начиная с 1970г.

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