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An integrated strategy for high-sensitive and multi-level glycoproteome analysis from low micrograms of protein samples.
Gao, Weina; Li, Hongjie; Liu, Liping; Huang, Peiwu; Wang, Zhikun; Chen, Wendong; Ye, Mingliang; Yu, Xiaofang; Tian, Ruijun.
Afiliação
  • Gao W; School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, 150080, China; Department of Chemistry and Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, 518055, China; CAS Key Laborato
  • Li H; School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, 150080, China; Department of Chemistry and Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, 518055, China.
  • Liu L; Shenzhen People's Hospital, The First affiliated Hospital of Southern University of Science and Technology, Shenzhen, 518020, China.
  • Huang P; Department of Chemistry and Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, 518055, China; State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University,
  • Wang Z; School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, 150080, China; Department of Chemistry and Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, 518055, China.
  • Chen W; Department of Chemistry and Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, 518055, China.
  • Ye M; CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, 116023, China.
  • Yu X; Shenzhen People's Hospital, The First affiliated Hospital of Southern University of Science and Technology, Shenzhen, 518020, China.
  • Tian R; Department of Chemistry and Guangdong Provincial Key Laboratory of Cell Microenvironment and Disease Research, Southern University of Science and Technology, Shenzhen, 518055, China. Electronic address: tianrj@sustc.edu.cn.
J Chromatogr A ; 1600: 46-54, 2019 Aug 30.
Article em En | MEDLINE | ID: mdl-31036360
Glycosylation, as a biologically important protein post-translational modification, often alters on both glycosites and glycans, simultaneously. However, most of current approaches focused on biased profiling of either glycosites or glycans, and limited by time-consuming process and milligrams of starting protein material. We describe here a simple and integrated spintip-based glycoproteomics technology (termed Glyco-SISPROT) for achieving a comprehensive view of glycoproteome with shorter sample processing time and low microgram starting material. By carefully integrating and optimizing SCX, C18 and Concanavalin A (Con A) packing material and their combination in spintip format, both predigested peptides and protein lysates could be processed by Glyco-SISPROT with high efficiency. More importantly, deglycopeptide, intact glycopeptide and glycans released by multiple glycosidases could be readily collected from the same Glyco-SISPROT workflow for LC-MS analysis. In total, above 1850 glycosites in ˜1770 unique deglycopeptides were characterized from mouse liver by using either 100 µg of predigested peptides or directly using 100 µg of protein lysates, in which about 30% of glycosites were released by both PNGase F and Endos. To the best of our knowledge, this approach should be one of the most comprehensive glycoproteomic approaches by using limited protein starting material. One significant benefit of Glyco-SISPROT is that whole processing time is dramatically reduced from a few days to less than 6 h with good reproducibility when protein lysates were directly processed by Glyco-SISPROT. We expect that this method will be suitable for multi-level glycoproteome analysis of rare biological samples with high sensitivity.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glicoproteínas / Proteômica Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Glicoproteínas / Proteômica Tipo de estudo: Diagnostic_studies Limite: Animals Idioma: En Ano de publicação: 2019 Tipo de documento: Article