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用于表征人类血浆蛋白质组的不同免疫亲和分级分离策略。

Different immunoaffinity fractionation strategies to characterize the human plasma proteome.

作者信息

Gong Yan, Li Xiaohai, Yang Bing, Ying Wantao, Li Dong, Zhang Yangjun, Dai Shujia, Cai Yun, Wang Jinglan, He Fuchu, Qian Xiaohong

机构信息

Department of Genomics and Proteomics, Beijing Institute of Radiation Medicine, 27 Taiping Road, Beijing 100850, People's Republic of China.

出版信息

J Proteome Res. 2006 Jun;5(6):1379-87. doi: 10.1021/pr0600024.

Abstract

Plasma proteins may often serve as indicators of disease and are a rich source for biomarker discovery. However, the intrinsic large dynamic range of plasma proteins makes the analysis very challenging because a large number of low abundance proteins are often masked by a few high abundance proteins. The use of prefractionation methods, such as depletion of higher abundance proteins before protein profiling, can assist in the discovery and detection of less abundant proteins that may ultimately prove to be informative biomarkers. But there are few studies on comprehensive investigation of the proteins both in the fractions depleted and remainder. In the present study, two different immunoaffinity fractionation columns for the top-6 or the top-12 proteins in plasma were investigated and both the proteins in column-bound and flow-through fractions were subsequently analyzed. A two-dimensional peptide separation strategy, utilizing chromatographic separation techniques, combined with tandem mass spectrometry (MS/MS) was employed for proteomic analysis of the four fractions. Using the established HUPO PPP criteria, a total of 2401 unique plasma proteins were identified. The Multiple Affinity Removal System yielded 921 and 725 unique proteins from the flow-through and bound fractions, respectively, whereas the Seppro MIXED 12 column yielded identification of 897 and 730 unique proteins from the flow-through and bound fractions, respectively. When more stringent criteria, based on searching against the reversed database, were implemented, 529 unique proteins were identified from the four fractions with the confidence in peptide identification increased from 73.6% to 99%. To determine whether the presence of nontarget proteins in the immunoaffinity-bound fraction could be attributed to their interaction with high abundance proteins, co-immunoprecipitation analysis with an antibody to human plasma albumin was performed, which resulted in an identification of 40 unique proteins from the coimmunoprecipitate with the more stringent criteria. This study illustrated that combining the column-bound and flow-through fractions from immunoaffinity separation affords more extensive profiling of the protein content of human plasma. The presence of nontarget proteins in the column-bound fractions may be induced by their binding to the higher abundance proteins targeted by the immunoaffinity column.

摘要

血浆蛋白常常可作为疾病指标,也是生物标志物发现的丰富来源。然而,血浆蛋白固有的大动态范围使得分析极具挑战性,因为大量低丰度蛋白常被少数高丰度蛋白掩盖。使用预分级方法,如在蛋白质谱分析前去除高丰度蛋白,有助于发现和检测那些最终可能被证明是有信息价值的生物标志物的低丰度蛋白。但关于对耗尽组分和剩余组分中的蛋白质进行全面研究的报道很少。在本研究中,我们研究了两种不同的免疫亲和分级柱,用于分离血浆中丰度最高的6种或12种蛋白质,并随后分析了柱结合组分和流穿组分中的蛋白质。采用一种二维肽分离策略,利用色谱分离技术,并结合串联质谱(MS/MS)对这四个组分进行蛋白质组学分析。根据已确立的HUPO PPP标准,共鉴定出2401种独特的血浆蛋白。多重亲和去除系统分别从流穿组分和结合组分中鉴定出921种和725种独特蛋白,而Seppro MIXED 12柱分别从流穿组分和结合组分中鉴定出897种和730种独特蛋白。当基于对反向数据库搜索实施更严格的标准时,从这四个组分中鉴定出529种独特蛋白,肽段鉴定的置信度从73.6%提高到了99%。为了确定免疫亲和结合组分中存在的非靶蛋白是否可归因于它们与高丰度蛋白的相互作用,我们用抗人血浆白蛋白抗体进行了共免疫沉淀分析,结果在更严格的标准下从共沉淀物中鉴定出40种独特蛋白。本研究表明,将免疫亲和分离的柱结合组分和流穿组分相结合,能够对人血浆中的蛋白质含量进行更广泛的分析。柱结合组分中存在非靶蛋白可能是由于它们与免疫亲和柱靶向的高丰度蛋白结合所致。

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