Literature DB >> 22277540

Comparative analysis of carbohydrate-binding specificities of two anti-glycogen monoclonal antibodies using ELISA and surface plasmon resonance.

Sachiko Nakamura-Tsuruta1, Michiko Yasuda, Toshiyuki Nakamura, Eri Shinoda, Takashi Furuyashiki, Ryo Kakutani, Hiroki Takata, Yoji Kato, Hitoshi Ashida.   

Abstract

For immunological experiments on glycogens, anti-glycogen antibodies are indispensable to capture, detect, and visualize sugar molecules. An anti-glycogen monoclonal antibody (IV58B6) and newly constructed antibody (ESG1A9mAb) have a common immunoglobulin type (IgM) and binding ability to glycogens, but overall possess different binding features. Therefore, they may prove useful for the construction of an advanced system of quantitative ELISA based on their molecular structures. For this purpose, detailed information on the carbohydrate-specificities of ESG1A9mAb and IV58B6 is first required, but their fine specificities for various types of glycogens have not been elucidated. To overcome this problem, we performed interaction analysis by ELISA of ESG1A9mAb and IV58B6 toward 15 glucose polymers, that is, 5 enzymatically-synthesized glycogens (ESGs), 6 natural source glycogens (NSGs), 3 enzymatically digested glycogens (EDGs), and soluble starch. To provide a more detailed analysis, we determined the association constants (K(a)) of the two antibodies toward these glycogens by surface plasmon resonance. The results indicated that the carbohydrate-binding properties toward NSGs of ESG1A9mAb and IV58B6 were similar, but markedly differed for ESGs and EDGs. ESG1A9mAb showed significant affinity for all the ESGs and NSGs tested, whereas IV58B6 had only slight affinity for ESGs, although the affinities were increased when the ESGs were enzymatically digested. This information should be helpful for the design of both in vitro and in vivo immunological assays.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22277540     DOI: 10.1016/j.carres.2011.12.029

Source DB:  PubMed          Journal:  Carbohydr Res        ISSN: 0008-6215            Impact factor:   2.104


  15 in total

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2.  Novel method for detection of glycogen in cells.

Authors:  Alexander V Skurat; Dyann M Segvich; Anna A DePaoli-Roach; Peter J Roach
Journal:  Glycobiology       Date:  2017-05-01       Impact factor: 4.313

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Authors:  Clara Prats; Terry E Graham; Jane Shearer
Journal:  J Biol Chem       Date:  2018-02-26       Impact factor: 5.157

5.  Paradoxical Pro-inflammatory Responses by Human Macrophages to an Amoebae Host-Adapted Legionella Effector.

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Journal:  Cell Host Microbe       Date:  2020-03-27       Impact factor: 21.023

Review 6.  Brain Glycogen Structure and Its Associated Proteins: Past, Present and Future.

Authors:  M Kathryn Brewer; Matthew S Gentry
Journal:  Adv Neurobiol       Date:  2019

7.  Glycodendrimers and Modified ELISAs: Tools to Elucidate Multivalent Interactions of Galectins 1 and 3.

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8.  An optimized histochemical method to assess skeletal muscle glycogen and lipid stores reveals two metabolically distinct populations of type I muscle fibers.

Authors:  Clara Prats; Alba Gomez-Cabello; Pernille Nordby; Jesper L Andersen; Jørn W Helge; Flemming Dela; Otto Baba; Thorkil Ploug
Journal:  PLoS One       Date:  2013-10-30       Impact factor: 3.240

9.  Glycogen distribution in the microwave-fixed mouse brain reveals heterogeneous astrocytic patterns.

Authors:  Yuki Oe; Otto Baba; Hitoshi Ashida; Kouichi C Nakamura; Hajime Hirase
Journal:  Glia       Date:  2016-06-29       Impact factor: 7.452

10.  Development of novel monoclonal antibodies against starch and ulvan - implications for antibody production against polysaccharides with limited immunogenicity.

Authors:  Maja G Rydahl; Stjepan K Krac Un; Jonatan U Fangel; Gurvan Michel; Alexia Guillouzo; Sabine Génicot; Jozef Mravec; Jesper Harholt; Casper Wilkens; Mohammed Saddik Motawia; Birte Svensson; Olivier Tranquet; Marie-Christine Ralet; Bodil Jørgensen; David S Domozych; William G T Willats
Journal:  Sci Rep       Date:  2017-08-24       Impact factor: 4.379

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