| ○種別 (必須): | □ | 学術論文 (審査論文)
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| ○言語 (必須): | □ | 英語
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| ○著者 (必須): | 1. | (英) Smirnov Ivan (日) (読)
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| 2. | (英) Sibgatullina Regina (日) (読)
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| 3. | (英) Urano Sayaka (日) (読)
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| 4. | 田原 強 ([徳島大学.先端研究推進センター.バイオイメージング研究部門])
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| 5. | (英) Ahmadi Peni (日) (読)
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| 6. | (英) Watanabe Yasuyoshi (日) (読)
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| 7. | (英) Pradipta Ambara R (日) (読)
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| 8. | (英) Kurbangalieva Almira (日) (読)
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| 9. | (英) Tanaka Katsunori (日) (読)
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| ○題名 (必須): | □ | (英) 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. (日)
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| ○要約 (任意): | □ | (英) 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. (日)
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| ○キーワード (推奨): |
| ○発行所 (推奨): |
| ○誌名 (必須): | □ | Small ([Wiley-VCH])
(pISSN: 1613-6810, eISSN: 1613-6829)
| ○ISSN (任意): | □ | 1613-6829
ISSN: 1613-6810
(pISSN: 1613-6810, eISSN: 1613-6829) Title: Small (Weinheim an der Bergstrasse, Germany)Title(ISO): SmallPublisher: Wiley Publishing (NLM Catalog)
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(Scopus)
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| ○巻 (必須): | □ | 16
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| ○号 (必須): | □ | 46
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| ○頁 (必須): | □ |
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| ○都市 (任意): |
| ○年月日 (必須): | □ | 西暦 2020年 10月 20日 (令和 2年 10月 20日)
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| ○URL (任意): |
| ○DOI (任意): | □ | 10.1002/smll.202004831 (→Scopusで検索)
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| ○PMID (任意): | □ | 33079456 (→Scopusで検索)
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| ○備考 (任意): | 1. | (英) PublicationType: Journal Article (日)
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| 2. | (英) PublicationType: Research Support, Non-U.S. Gov't (日)
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