孙士生

个人信息:Personal Information

教授
博士生导师
硕士生导师

教师英文名称:Shisheng Sun

教师拼音名称:sunshisheng

所在单位:生命科学学院

办公地点:西北大学太白校区,新生命科学学院2层

职称:教授

学科:生物化学与分子生物学
细胞生物学
生物学其他专业

论文成果

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37. Shisheng Sun*, Yingwei Hu, Minghui Ao, Punit Shah, Jing Chen, Weiming Yang, Xingwang Jia, Yuan Tian, Stefani Thomas, Hui Zhang*. N-GlycositeAtlas: a database resource for mass spectrometry-based human N-linked glycoprotein and glycosylation site mapping. Clinical Proteomics. 2019, 16 (1): 1-11.

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影响因子:2.568

DOI码:10.1186/s12014-019-9254-0.

摘要:Background: N-linked glycoprotein is a highly interesting class of proteins for clinical and biological research. The large-scale characterization of N-linked glycoproteins accomplished by mass spectrometry-based glycoproteomics has provided valuable insights into the interdependence of glycoprotein structure and protein function. However, these studies focused mainly on the analysis of specific sample type, and lack the integration of glycoproteomic data from different tissues, body fluids or cell types. Methods: In this study, we collected the human glycosite-containing peptides identified through their de-glycosylated forms by mass spectrometry from over 100 publications and unpublished datasets generated from our laboratory. A database resource termed N-GlycositeAtlas was created and further used for the distribution analyses of glycoproteins among different human cells, tissues and body fluids. Finally, a web interface of N-GlycositeAtlas was created to maximize the utility and value of the database. Results: The N-GlycositeAtlas database contains more than 30,000 glycosite-containing peptides (representing > 14,000 N-glycosylation sites) from more than 7200 N-glycoproteins from different biological sources including human-derived tissues, body fluids and cell lines from over 100 studies. Conclusions: The entire human N-glycoproteome database as well as 22 sub-databases associated with individual tissues or body fluids can be downloaded from the N-GlycositeAtlas website at http://nglycositeatlas.biomarkercenter.org.

论文类型:期刊论文

学科门类:理学

一级学科:生物学

文献类型:J

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收录刊物:SCI