首页> 外文期刊>Journal of biomolecular techniques :JBT. >Analysis of glycoproteins in human serum by means of glycospecific magnetic bead separation and LC-MALDI-TOF/TOF analysis with automated glycopeptide detection.
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Analysis of glycoproteins in human serum by means of glycospecific magnetic bead separation and LC-MALDI-TOF/TOF analysis with automated glycopeptide detection.

机译:通过糖特异性磁珠分离和自动糖肽检测的LC-MALDI-TOF / TOF分析来分析人血清中的糖蛋白。

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Comprehensive proteomic analyses require efficient and selective pre-fractionation to facilitate analysis of post-translationally modified peptides and proteins, and automated analysis workflows enabling the detection, identification, and structural characterization of the corresponding peptide modifications. Human serum contains a high number of glycoproteins, comprising several orders of magnitude in concentration. Thereby, isolation and subsequent identification of low-abundant glycoproteins from serum is a challenging task. selective capturing of glycopeptides and -proteins was attained by means of magnetic particles specifically functionalized with lectins or boronic acids that bind to various structural motifs. Human serum was incubated with differentially functionalized magnetic micro-particles (lectins or boronic acids), and isolated proteins were digested with trypsin. Subsequently, the resulting complex mixture of peptides and glycopeptides was subjected to LC-MALDI analysis and database searching. In parallel, a second magnetic bead capturing was performed on the peptide level to separate and analyze by LC-MALDI intact glycopeptides, both peptide sequence and glycan structure. Detection of glycopeptides was achieved by means of a software algorithm that allows extraction and characterization of potential glycopeptide candidates from large LC-MALDI-MS/MS data sets, based on N-glycopeptide-specific fragmentation patterns and characteristic fragment mass peaks, respectively. By means of fast and simple glycospecific capturing applied in conjunction with extensive LC-MALDI-MS/MS analysis and novel data analysis tools, a high number of low-abundant proteins were identified, comprising known or predicted glycosylation sites. According to the specific binding preferences of the different types of beads, complementary results were obtained from the experiments using either magnetic ConA-, LCA-, WGA-, and boronic acid beads, respectively.
机译:全面的蛋白质组学分析需要高效且选择性的预分离,以方便分析翻译后修饰的肽和蛋白质,而自动化的分析工作流程则可以检测,鉴定和鉴定相应的肽修饰。人血清含有大量糖蛋白,其浓度包括几个数量级。因此,从血清中分离和随后鉴定低丰度糖蛋白是一项艰巨的任务。通过用与各种结构基序结合的凝集素或硼酸特异性功能化的磁性颗粒,可以选择性地捕获糖肽和-蛋白。将人血清与差异功能化的磁性微粒(凝集素或硼酸)一起孵育,并用胰蛋白酶消化分离的蛋白质。随后,将所得的肽和糖肽的复杂混合物进行LC-MALDI分析和数据库搜索。并行地,在肽水平上进行第二次磁珠捕获,以通过LC-MALDI完整糖肽分离并分析肽序列和聚糖结构。糖肽的检测是通过软件算法实现的,该算法允许分别基于N-糖肽特异性片段化模式和特征片段质量峰,从大型LC-MALDI-MS / MS数据集中提取和表征潜在的糖肽候选物。通过结合广泛的LC-MALDI-MS / MS分析和新颖的数据分析工具应用快速简便的糖特异性捕获,可以鉴定出大量的低丰度蛋白质,包括已知或预测的糖基化位点。根据不同类型珠子的特定结合偏好,分别使用磁性ConA-,LCA-,WGA-和硼酸珠子从实验中获得了互补的结果。

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