中文摘要：

多肽组是指生物体表达的所有多肽,尿液等体液的多肽组是生物标记物的重要来源。本研究采用氧化石墨烯-磷酸镧纳米磁性复合材料分离富集尿液多肽,进行纳升液相色谱-高分辨串联质谱分析,从单一样本中鉴定了归属于123个蛋白质的790条肽段。研究表明,这些肽段在蛋白质水平上不是平均分布的。此外,本研究检测到了肽段的氧化、磷酸化和脱氨化等翻译后修饰现象,观察到了尿液多肽的阶梯序列性,从蛋白水平上对尿液多肽组进行了生物信息学分析,结果表明,这些多肽所归属的大部分蛋白质之间存在相互作用。本方法可为在尿液中寻找疾病的标志物提供方法学支持。

英文摘要：

Peptidomics is an emerging field branching from proteomincs that targets endogenous peptides of a whole organism or a subsystem. Many peptides in body fluids including urine are biomarkers with higher clinical sensitivity and specificity. In this study, we separated and enriched these peptides in human urine by the graphene oxide-lanthanum phosphate composite nanomaterial （LaGM）, then identified and analyzed by nano liquid chromatography-high resolution tandem mass spectrometry. In single urine sample, 790 peptides which belong to 123 proteins were identified, and some post-translational modifications including oxidation, phosphorylation, deamidated etc, were also identified. There existed a series of peptide ladders in urine peptidomic. At last, the string analysis on protein level revealed strong interaction among the proteins which the identified peptides belonged. This method can provide support for finding the biomarkers of disease in urine.