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 |
|