Park Gun Wook, Kim Jin Young, Hwang Heeyoun, Lee Ju Yeon, Ahn Young Hee, Lee Hyun Kyoung, Ji Eun Sun, Kim Kwang Hoe, Jeong Hoi Keun, Yun Ki Na, Kim Yong-Sam, Ko Jeong-Heon, An Hyun Joo, Kim Jae Han, Paik Young-Ki, Yoo Jong Shin
Department of Mass Spectrometry, Korea Basic Science Institute, Ochang, Republic of Korea.
Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, Republic of Korea.
Sci Rep. 2016 Feb 17;6:21175. doi: 10.1038/srep21175.
Human glycoproteins exhibit enormous heterogeneity at each N-glycosite, but few studies have attempted to globally characterize the site-specific structural features. We have developed Integrated GlycoProteome Analyzer (I-GPA) including mapping system for complex N-glycoproteomes, which combines methods for tandem mass spectrometry with a database search and algorithmic suite. Using an N-glycopeptide database that we constructed, we created novel scoring algorithms with decoy glycopeptides, where 95 N-glycopeptides from standard α1-acid glycoprotein were identified with 0% false positives, giving the same results as manual validation. Additionally automated label-free quantitation method was first developed that utilizes the combined intensity of top three isotope peaks at three highest MS spectral points. The efficiency of I-GPA was demonstrated by automatically identifying 619 site-specific N-glycopeptides with FDR ≤ 1%, and simultaneously quantifying 598 N-glycopeptides, from human plasma samples that are known to contain highly glycosylated proteins. Thus, I-GPA platform could make a major breakthrough in high-throughput mapping of complex N-glycoproteomes, which can be applied to biomarker discovery and ongoing global human proteome project.
人类糖蛋白在每个N-糖基化位点都表现出巨大的异质性,但很少有研究尝试全面表征位点特异性结构特征。我们开发了集成糖蛋白组分析仪(I-GPA),包括用于复杂N-糖蛋白组的图谱系统,该系统将串联质谱方法与数据库搜索及算法套件相结合。利用我们构建的N-糖肽数据库,我们创建了带有诱饵糖肽的新型评分算法,其中从标准α1-酸性糖蛋白中鉴定出95个N-糖肽,假阳性率为0%,与手动验证结果相同。此外,首次开发了一种自动无标记定量方法,该方法利用三个最高质谱谱点处前三个同位素峰的组合强度。通过自动鉴定619个位点特异性N-糖肽(错误发现率≤1%),并同时对已知含有高度糖基化蛋白的人血浆样本中的598个N-糖肽进行定量,证明了I-GPA的效率。因此,I-GPA平台可在复杂N-糖蛋白组的高通量图谱绘制方面取得重大突破,可应用于生物标志物发现和正在进行的全球人类蛋白质组计划。