Comparative glycoproteomics based on lectins affinity capture of N-linked glycoproteins from human Chang liver cells and MHCC97-H cells

We present here an effective technique for the large‐scale separation and identification of N‐linked glycoproteins from Chang liver cells, the human normal liver cells. To enrich N‐linked glycoproteins from the whole cells, a procedure containing the lysis of human liver cells, the solubilization of...

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Published inProteomics (Weinheim) Vol. 7; no. 14; pp. 2358 - 2370
Main Authors Xu, Zhibin, Zhou, Xinwen, Lu, Haojie, Wu, Nan, Zhao, Hongbo, Zhang, Lineng, Zhang, Wen, Liang, Yu Long, Wang, Liying, Liu, Yinkun, Yang, Pengyuan, Zha, Xiliang
Format Journal Article
LanguageEnglish
Published Weinheim WILEY-VCH Verlag 01.07.2007
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Abstract We present here an effective technique for the large‐scale separation and identification of N‐linked glycoproteins from Chang liver cells, the human normal liver cells. To enrich N‐linked glycoproteins from the whole cells, a procedure containing the lysis of human liver cells, the solubilization of total proteins, lectin affinity chromatography including Concanavalin A and wheat germ agglutinin was established. Furthermore, captured N‐linked glycoproteins were separated by 2‐DE, and identified by MS and database searching. Finally, we found 63 N‐glycoproteins in Chang liver cells. In addition, using the above method, we identified 7 remarkably up‐regulated glycoproteins from MHCC97‐H cells, highly metastatic liver cancer cells, compared to Chang liver cells. These up‐regulated glycoproteins were associated with liver cancer and might be used as biomarkers for tumor diagnosis. Results showed that we established a high‐throughput proteomic analysis for separating N‐linked glycoproteins from human liver cells. This strategy greatly improved the glycoprotein analysis method associated with proteome‐wide glycosylation changes related to liver cancer. Our work was part of the HUPO Human Liver Proteome Project (HLPP) studies and was supported by CHINA HUPO.
AbstractList We present here an effective technique for the large-scale separation and identification of N-linked glycoproteins from Chang liver cells, the human normal liver cells. To enrich N-linked glycoproteins from the whole cells, a procedure containing the lysis of human liver cells, the solubilization of total proteins, lectin affinity chromatography including Concanavalin A and wheat germ agglutinin was established. Furthermore, captured N-linked glycoproteins were separated by 2-DE, and identified by MS and database searching. Finally, we found 63 N-glycoproteins in Chang liver cells. In addition, using the above method, we identified 7 remarkably up-regulated glycoproteins from MHCC97-H cells, highly metastatic liver cancer cells, compared to Chang liver cells. These up-regulated glycoproteins were associated with liver cancer and might be used as biomarkers for tumor diagnosis. Results showed that we established a high-throughput proteomic analysis for separating N-linked glycoproteins from human liver cells. This strategy greatly improved the glycoprotein analysis method associated with proteome-wide glycosylation changes related to liver cancer. Our work was part of the HUPO Human Liver Proteome Project (HLPP) studies and was supported by CHINA HUPO.
Abstract We present here an effective technique for the large‐scale separation and identification of N ‐linked glycoproteins from Chang liver cells, the human normal liver cells. To enrich N ‐linked glycoproteins from the whole cells, a procedure containing the lysis of human liver cells, the solubilization of total proteins, lectin affinity chromatography including Concanavalin A and wheat germ agglutinin was established. Furthermore, captured N ‐linked glycoproteins were separated by 2‐DE, and identified by MS and database searching. Finally, we found 63 N‐glycoproteins in Chang liver cells. In addition, using the above method, we identified 7 remarkably up‐regulated glycoproteins from MHCC97‐H cells, highly metastatic liver cancer cells, compared to Chang liver cells. These up‐regulated glycoproteins were associated with liver cancer and might be used as biomarkers for tumor diagnosis. Results showed that we established a high‐throughput proteomic analysis for separating N ‐linked glycoproteins from human liver cells. This strategy greatly improved the glycoprotein analysis method associated with proteome‐wide glycosylation changes related to liver cancer. Our work was part of the HUPO Human Liver Proteome Project (HLPP) studies and was supported by CHINA HUPO.
Author Xu, Zhibin
Liu, Yinkun
Wang, Liying
Zhou, Xinwen
Liang, Yu Long
Zha, Xiliang
Wu, Nan
Zhao, Hongbo
Lu, Haojie
Zhang, Lineng
Zhang, Wen
Yang, Pengyuan
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  givenname: Zhibin
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  organization: Glycoconjugate Key Laboratory, Ministry of Health, Department of Biochemistry and Molecular Biology, Fudan University, Shanghai, P. R. China
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  givenname: Xinwen
  surname: Zhou
  fullname: Zhou, Xinwen
  organization: Department of Chemistry, Fudan University, Shanghai, P. R. China
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  fullname: Lu, Haojie
  organization: Department of Chemistry, Fudan University, Shanghai, P. R. China
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  givenname: Nan
  surname: Wu
  fullname: Wu, Nan
  organization: Glycoconjugate Key Laboratory, Ministry of Health, Department of Biochemistry and Molecular Biology, Fudan University, Shanghai, P. R. China
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  givenname: Hongbo
  surname: Zhao
  fullname: Zhao, Hongbo
  organization: Glycoconjugate Key Laboratory, Ministry of Health, Department of Biochemistry and Molecular Biology, Fudan University, Shanghai, P. R. China
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  givenname: Lineng
  surname: Zhang
  fullname: Zhang, Lineng
  organization: Glycoconjugate Key Laboratory, Ministry of Health, Department of Biochemistry and Molecular Biology, Fudan University, Shanghai, P. R. China
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  givenname: Wen
  surname: Zhang
  fullname: Zhang, Wen
  organization: Glycoconjugate Key Laboratory, Ministry of Health, Department of Biochemistry and Molecular Biology, Fudan University, Shanghai, P. R. China
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  givenname: Yu Long
  surname: Liang
  fullname: Liang, Yu Long
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  givenname: Liying
  surname: Wang
  fullname: Wang, Liying
  organization: Glycoconjugate Key Laboratory, Ministry of Health, Department of Biochemistry and Molecular Biology, Fudan University, Shanghai, P. R. China
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  surname: Liu
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  organization: Institutes for Biomedical Sciences, Fudan University, Shanghai, P. R. China
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  surname: Yang
  fullname: Yang, Pengyuan
  organization: Department of Chemistry, Fudan University, Shanghai, P. R. China
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  givenname: Xiliang
  surname: Zha
  fullname: Zha, Xiliang
  email: xlzha@shmu.edu.cn
  organization: Glycoconjugate Key Laboratory, Ministry of Health, Department of Biochemistry and Molecular Biology, Fudan University, Shanghai, P. R. China
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Keywords Human
Lectin
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SSID ssj0017897
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Snippet We present here an effective technique for the large‐scale separation and identification of N‐linked glycoproteins from Chang liver cells, the human normal...
We present here an effective technique for the large-scale separation and identification of N-linked glycoproteins from Chang liver cells, the human normal...
Abstract We present here an effective technique for the large‐scale separation and identification of N ‐linked glycoproteins from Chang liver cells, the human...
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SubjectTerms Analytical, structural and metabolic biochemistry
Biological and medical sciences
Cells, Cultured
Chromatography, Affinity - methods
Concanavalin A - metabolism
Electrophoresis, Gel, Two-Dimensional
Fundamental and applied biological sciences. Psychology
Glycoprotein
Glycoproteins - analysis
Glycoproteins - chemistry
Glycoproteins - metabolism
Glycoproteomics
Hepatocytes - chemistry
Hepatocytes - metabolism
Humans
Lectin
Liver
Miscellaneous
Proteins
Proteomics - methods
Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Up-Regulation
Wheat Germ Agglutinins - metabolism
Title Comparative glycoproteomics based on lectins affinity capture of N-linked glycoproteins from human Chang liver cells and MHCC97-H cells
URI https://api.istex.fr/ark:/67375/WNG-K456SDLR-G/fulltext.pdf
https://onlinelibrary.wiley.com/doi/abs/10.1002%2Fpmic.200600041
https://www.ncbi.nlm.nih.gov/pubmed/17623300
https://search.proquest.com/docview/70734119
Volume 7
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