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. Issue 46 (20th October 2020)
- Record Type:
- Journal Article
- 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. Issue 46 (20th October 2020)
- Main 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
- Authors:
- Smirnov, Ivan
Sibgatullina, Regina
Urano, Sayaka
Tahara, Tsuyoshi
Ahmadi, Peni
Watanabe, Yasuyoshi
Pradipta, Ambara R.
Kurbangalieva, Almira
Tanaka, Katsunori - Abstract:
- Abstract: 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. Abstract : Very fast and selective RIKEN click reaction allows to synthesize and screen various structurally well‐defined glycoalbumins containing four different N ‐glycan structures in a very short time. Pattern recognition mechanisms for cell targeting in mice represent a novel and promising strategy for diagnostic, prophylactic, and therapeutic agents for various diseases, including cancers.
- Is Part Of:
- Small. Volume 16:Issue 46(2020)
- Journal:
- Small
- Issue:
- Volume 16:Issue 46(2020)
- Issue Display:
- Volume 16, Issue 46 (2020)
- Year:
- 2020
- Volume:
- 16
- Issue:
- 46
- Issue Sort Value:
- 2020-0016-0046-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-10-20
- Subjects:
- biodistribution -- higher‐order heterogeneity -- N‐glycoalbumins -- pattern recognition -- tumor targeting
Nanotechnology -- Periodicals
Nanoparticles -- Periodicals
Microtechnology -- Periodicals
620.5 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1613-6829 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/smll.202004831 ↗
- Languages:
- English
- ISSNs:
- 1613-6810
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 8309.952000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 14859.xml