Protein Fractionation for Quantitative Plasma Proteomics by Semi-Selective Precipitation

E. Mostovenko, H. C. Scott, O. Klychnikov, H. Dalebout, A. Deelder, Magnus Palmblad
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引用次数: 10

Abstract

Blood plasma is a highly complex mixture of proteins, metabolites and lipids, and a rich source of potential biomarkers for a range of diseases and conditions. The wide range in protein abundance poses a tremendous challenge for plasma proteomics. However, as a relatively small number of proteins make up most of the total protein pool, the concentration range can be compressed by depletion of abundant proteins, such as albumin. To reduce sample complexity and increase the protein coverage, we have developed a sample preparation method based on semi-selective precipitation with acetonitrile at different pH and built a data analysis pipeline, combining different search strategies. The method we propose is reproducible and easily parallelised (high throughput), and may be well suited to fractionate plasma for label-free quantitative proteomics in large clinical studies. Up to 90% of albumin and other abundant proteins were removed by adding an equal volume of acetonitrile to the samples adjusted to pH 5.
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半选择性沉淀法定量血浆蛋白质组学的蛋白质分离
血浆是蛋白质、代谢物和脂质的高度复杂的混合物,是一系列疾病和病症的潜在生物标志物的丰富来源。蛋白质丰度的大范围对血浆蛋白质组学研究提出了巨大的挑战。然而,由于相对较少的蛋白质构成了整个蛋白质池的大部分,因此可以通过耗尽丰富的蛋白质(如白蛋白)来压缩浓度范围。为了降低样品复杂性,提高蛋白质覆盖率,我们开发了基于乙腈在不同pH下半选择性沉淀的样品制备方法,并结合不同的搜索策略建立了数据分析管道。我们提出的方法具有可重复性和易于并行化(高通量),并且可能非常适合在大型临床研究中分离血浆进行无标记定量蛋白质组学。在pH值为5的样品中加入等体积的乙腈,可去除高达90%的白蛋白和其他丰富的蛋白质。
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Proteomics analysis reveals that HSP70 interacts with estrogen receptor alpha in the nucleus of human breast cancer Protein Fractionation for Quantitative Plasma Proteomics by Semi-Selective Precipitation
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