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Analysis of the human serum proteome

机译:人血清蛋白质组学分析

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h2Abstract/h2Changes in serum proteins that signal histopathological states, such as cancer, are useful diagnostic and prognostic biomarkers. Unfortunately, the large dynamic concentration range of proteins in serum makes it a challenging proteome to effectively characterize. Typically, methods to deplete highly abundant proteins to decrease this dynamic protein concentration range are employed, yet such depletion results in removal of important low abundant proteins.A multi-dimensional peptide separation strategy utilizing conventional separation techniques combined with tandem mass spectrometry (MS/MS) was employed for a proteome analysis of human serum. Serum proteins were digested with trypsin and resolved into 20 fractions by ampholyte-free liquid phase isoelectric focusing. These 20 peptide fractions were further fractionated by strong cation-exchange chromatography, each of which was analyzed by microcapillary reversed-phase liquid chromatography coupled online with MS/MS analysis.This investigation resulted in the identification of 1444 unique proteins in serum. Proteins from all functional classes, cellular localization, and abundance levels were identified.This study illustrates that a majority of lower abundance proteins identified in serum are present as secreted or shed species by cells as a result of signalling, necrosis, apoptosis, and hemolysis. These findings show that the protein content of serum is quite reflective of the overall profile of the human organism and a conventional multidimensional fractionation strategy combined with MS/MS is entirely capable of characterizing a significant fraction of the serum proteome. We have constructed a publicly available human serum proteomic database (http://bpp.nci.nih.gov) to provide a reference resource to facilitate future investigations of the vast archive of pathophysiological content in serum.
机译:>摘要发信号通知诸如癌症等组织病理学状态的血清蛋白变化是有用的诊断和预后生物标志物。不幸的是,血清中蛋白质的大动态浓度范围使其成为难以有效表征的蛋白质组。通常,采用消耗高丰度蛋白质以减少该动态蛋白质浓度范围的方法,但这种消耗会导致重要的低丰度蛋白质的去除。利用常规分离技术结合串联质谱(MS / MS)的多维肽分离策略)用于人血清的蛋白质组分析。用胰蛋白酶消化血清蛋白,并通过无两性电解质的液相等电聚焦将其分解为20个馏分。通过强阳离子交换色谱法进一步分离这20个肽级分,并通过微毛细管反相液相色谱在线联用MS / MS分析进行分析,最终鉴定出血清中1444种独特的蛋白质。鉴定了所有功能类别,细胞定位和丰度水平的蛋白质。这项研究表明,由于信号,坏死,凋亡和溶血作用,血清中鉴定出的大多数较低丰度蛋白质被细胞分泌或脱落。这些发现表明,血清中的蛋白质含量充分反映了人类有机体的整体特征,与MS / MS结合使用的常规多维分级分离策略完全能够表征很大一部分血清蛋白质组。我们已经建立了一个公共可用的人类血清蛋白质组学数据库(http://bpp.nci.nih.gov),以提供参考资源,以方便将来对血清病理生理学内容的大量档案进行调查。

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