Title |
Stable isotope labeling of glycoprotein expressed in silkworms using immunoglobulin G as a test molecule
|
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Published in |
Journal of Biomolecular NMR, April 2015
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DOI | 10.1007/s10858-015-9930-y |
Pubmed ID | |
Authors |
Hirokazu Yagi, Masatoshi Nakamura, Jun Yokoyama, Ying Zhang, Takumi Yamaguchi, Sachiko Kondo, Jun Kobayashi, Tatsuya Kato, Enoch Y. Park, Shiori Nakazawa, Noritaka Hashii, Nana Kawasaki, Koichi Kato |
Abstract |
Silkworms serve as promising bioreactors for the production of recombinant proteins, including glycoproteins and membrane proteins, for structural and functional protein analyses. However, lack of methodology for stable isotope labeling has been a major deterrent to using this expression system for nuclear magnetic resonance (NMR) structural biology. Here we developed a metabolic isotope labeling technique using commercially available silkworm larvae. The fifth instar larvae were infected with baculoviruses for co-expression of recombinant human immunoglobulin G (IgG) as a test molecule, with calnexin as a chaperone. They were subsequently reared on an artificial diet containing (15)N-labeled yeast crude protein extract. We harvested 0.1 mg of IgG from larva with a (15)N-enrichment ratio of approximately 80 %. This allowed us to compare NMR spectral data of the Fc fragment cleaved from the silkworm-produced IgG with those of an authentic Fc glycoprotein derived from mammalian cells. Therefore, we successfully demonstrated that our method enables production of isotopically labeled glycoproteins for NMR studies. |
X Demographics
Geographical breakdown
Country | Count | As % |
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France | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
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Japan | 1 | 7% |
United States | 1 | 7% |
Unknown | 12 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
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Professor | 3 | 21% |
Student > Bachelor | 2 | 14% |
Student > Ph. D. Student | 2 | 14% |
Student > Master | 2 | 14% |
Researcher | 2 | 14% |
Other | 2 | 14% |
Unknown | 1 | 7% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 5 | 36% |
Biochemistry, Genetics and Molecular Biology | 3 | 21% |
Chemistry | 3 | 21% |
Unknown | 3 | 21% |