pGlyco 2.0 enables precision N-glycoproteomics with comprehensive quality control and one-step mass spectrometry for intact glycopeptide identification-Reference-Cited by-同舟云学术

pGlyco 2.0 enables precision N-glycoproteomics with comprehensive quality control and one-step mass spectrometry for intact glycopeptide identification

Published:2017-09-05 Issue:1 Volume:8 Page:
ISSN:2041-1723
Container-title:Nature Communications
language:en
Short-container-title:Nat Commun

Author:

Liu Ming-Qi,Zeng Wen-Feng,Fang Pan,Cao Wei-Qian,Liu Chao,Yan Guo-Quan,Zhang Yang,Peng Chao,Wu Jian-Qiang,Zhang Xiao-Jin,Tu Hui-Jun,Chi Hao,Sun Rui-Xiang,Cao Yong,Dong Meng-Qiu^ORCID,Jiang Bi-Yun,Huang Jiang-Ming,Shen Hua-Li,Wong Catherine C. L.,He Si-Min,Yang Peng-Yuan

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry

Link

http://www.nature.com/articles/s41467-017-00535-2.pdf

Reference43 articles.

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2. Raman, R., Raguram, S., Venkataraman, G., Paulson, J. C. & Sasisekharan, R. Glycomics: an integrated systems approach to structure-function relationships of glycans. Nat. Methods 2, 817–824 (2005).

3. Ohtsubo, K. & Marth, J. D. Glycosylation in cellular mechanisms of health and disease. Cell 126, 855–867 (2006).

4. Alley, W. R. Jr. Mann, B. F. & Novotny, M. V. High-sensitivity analytical approaches for the structural characterization of glycoproteins. Chem. Rev. 113, 2668–2732 (2013).

5. Dallas, D. C., Martin, W. F., Hua, S. & German, J. B. Automated glycopeptide analysis--review of current state and future directions. Brief. Bioinform. 14, 361–374 (2013).

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