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从少量血清样本中发现亚纳摩尔生物标志物的高效肽提取方法。

High-yield peptide-extraction method for the discovery of subnanomolar biomarkers from small serum samples.

机构信息

Laboratory of Biomolecular Dynamics, Department of Physics, Kitasato University School of Science, Sagamihara, Kanagawa, Japan.

出版信息

J Proteome Res. 2010 Apr 5;9(4):1694-705. doi: 10.1021/pr9008018.

Abstract

Serum proteins/peptides reflect physiological or pathological states in humans and are an attractive target for the discovery of disease biomarkers. However, the existence of high-abundance proteins and the large dynamic range of serum proteins/peptides make any quantitative analysis of low-abundance proteins/peptides challenging. Furthermore, analyses of peptides, including the cleaved fragments of proteins, are difficult because of carrier protein binding. Here, we developed a differential solubilization (DS) method to extract low-molecular-weight proteins/peptides in serum with good reproducibility and yield as compared to typical peptide-extraction methods such as organic solvent precipitation and ultrafiltration. Using the DS method combined with reverse-phase HPLC fractionation followed by MALDI-TOF-MS, we performed high-quality comparative analyses of more than 1500 peptides from 1 microL of serum samples, including low-abundance peptides in the subnanomolar range and containing many peptides bound to carrier proteins such as albumin. We applied this method and successfully discovered four new biomarker candidates of colon cancer, none of which have previously been observed in serum and one of which is a fragment of the protein zyxin that possibly originated from tumor cells. Our results indicate that serum peptide analyses based on the DS method should greatly contribute to the discovery of novel low-abundance biomarkers.

摘要

血清蛋白/肽反映了人类的生理或病理状态,是发现疾病生物标志物的有吸引力的目标。然而,高丰度蛋白的存在和血清蛋白/肽的大动态范围使得对低丰度蛋白/肽的任何定量分析都具有挑战性。此外,由于载体蛋白结合,对肽(包括蛋白质的切割片段)的分析也很困难。在这里,我们开发了一种差异溶解(DS)方法,与有机溶剂沉淀和超滤等典型的肽提取方法相比,该方法可以在血清中提取低分子量蛋白/肽,具有良好的重现性和产量。我们使用 DS 方法结合反相 HPLC 分级分离,然后进行 MALDI-TOF-MS 分析,对来自 1 μL 血清样本的 1500 多个肽进行了高质量的比较分析,包括亚纳摩尔范围内的低丰度肽,并且含有许多与白蛋白等载体蛋白结合的肽。我们应用这种方法成功地发现了四个结肠癌的新生物标志物候选物,其中没有一个以前在血清中观察到,其中一个是可能来自肿瘤细胞的蛋白zyxin 的片段。我们的结果表明,基于 DS 方法的血清肽分析应该对发现新的低丰度生物标志物有很大的贡献。

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