...
首页> 外文期刊>Science in China, Series C. Life science >Con A affinity glycoproteomics of normal human liver tissue
【24h】

Con A affinity glycoproteomics of normal human liver tissue

机译:正常人肝组织的Con A亲和糖蛋白组学

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

In order to establish the novel high throughput,high efficiency and low cost technological platform for the research of N-glycoproteomics,to resolve the significance of characteristic expression profile of glycoprotein and to find the proteins with biological functional importance,the glycoproteins with high-mannose core and the two antennary types were purified and enriched by the Con A affinity chromatography.Con A affinity protein expression profiles of normal human liver tissue were generated by using SDS-PAGE,two-dimensional electrophoresis(2-DE)followed by fast fluorescence staining based on multiplexed proteomics(MP)technology.301 visible protein spots on the gel were detected and 85 of glycoproteins were further successfully identified via peptide mass fingerprinting(PMF)by a matrix assisted laser desorption/ionization time-of-flight mass spectrometry(MALDI-TOF-MS/MS)and annotated to IPI databases.Identified glycoproteins definitely take part in the regulation of cell cycle and metabolic processes.The glycosylation sites were predicted with NetNGIyc 1.0 and NetOGIyc 3.1 software,meanwhile they were classified according to the geneontology methods.The construction of Con A affinity glycoprotein database of normal human liver tissue would contribute to the subsequent research.
机译:为了建立新的高通量,高效,低成本的N-糖蛋白组学研究平台,解决糖蛋白特征性表达谱的意义,寻找具有生物学功能意义的蛋白,高甘露糖蛋白Con A亲和层析纯化和富集了两种主要的触角类型。通过SDS-PAGE,二维电泳(2-DE)和快速荧光染色,生成了正常人肝组织的Con A亲和蛋白表达谱。基于多重蛋白质组学(MP)技术,通过基质辅助激光解吸/电离飞行时间质谱(MALDI),通过肽质量指纹识别(PMF),在凝胶上检测到301个可见蛋白斑点,并进一步成功鉴定出85种糖蛋白-TOF-MS / MS)并注释到IPI数据库中。确定的糖蛋白肯定参与了细胞周期和用NetNGIyc 1.0和NetOGIyc 3.1软件预测糖基化位点,同时根据遗传学方法对其进行分类。正常人肝组织Con A亲和糖蛋白数据库的建立将为后续的研究做出贡献。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号