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轨道阱质谱和高场非对称波形离子迁移谱(FAIMS)能够深入分析人血清蛋白质组。

Orbitrap Mass Spectrometry and High-Field Asymmetric Waveform Ion Mobility Spectrometry (FAIMS) Enable the in-Depth Analysis of Human Serum Proteoforms.

机构信息

Department of Biology, University of Oklahoma, Norman, Oklahoma 73019, United States.

Thermo Scientific, San Jose, California 95134, United States.

出版信息

J Proteome Res. 2023 Nov 3;22(11):3418-3426. doi: 10.1021/acs.jproteome.3c00488. Epub 2023 Sep 29.

Abstract

Blood serum and plasma are arguably the most commonly analyzed clinical samples, with dozens of proteins serving as validated biomarkers for various human diseases. Top-down proteomics may provide additional insights into disease etiopathogenesis since this approach focuses on protein forms, or proteoforms, originally circulating in blood, potentially providing access to information about relevant post-translational modifications, truncations, single amino acid substitutions, and many other sources of protein variation. However, the vast majority of proteomic studies on serum and plasma are carried out using peptide-centric, bottom-up approaches that cannot recapitulate the original proteoform content of samples. Clinical laboratories have been slow to adopt top-down analysis, also due to higher sample handling requirements. In this study, we describe a straightforward protocol for intact proteoform sample preparation based on the depletion of albumin and immunoglobulins, followed by simplified protein fractionation via polyacrylamide gel electrophoresis. After molecular weight-based fractionation, we supplemented the traditional liquid chromatography-tandem mass spectrometry (LC-MS) data acquisition with high-field asymmetric waveform ion mobility spectrometry (FAIMS) to further simplify serum proteoform mixtures. This LC-FAIMS-MS method led to the identification of over 1000 serum proteoforms < 30 kDa, outperforming traditional LC-MS data acquisition and more than doubling the number of proteoforms identified in previous studies.

摘要

血清和血浆可以说是最常分析的临床样本,其中有数十种蛋白质被用作各种人类疾病的验证生物标志物。自上而下的蛋白质组学可能会提供更多关于疾病病因发病机制的见解,因为这种方法侧重于最初在血液中循环的蛋白质形式或蛋白质形式,可能提供有关相关翻译后修饰、截断、单个氨基酸取代和许多其他蛋白质变异来源的信息。然而,绝大多数关于血清和血浆的蛋白质组学研究都是使用基于肽的、自下而上的方法进行的,这些方法无法重现样品的原始蛋白质形式内容。临床实验室采用自上而下的分析方法速度较慢,这也是由于对样品处理的要求较高。在这项研究中,我们描述了一种基于白蛋白和免疫球蛋白耗尽的简单完整蛋白质形式样品制备方案,然后通过聚丙烯酰胺凝胶电泳进行简化的蛋白质分级分离。在基于分子量的分级分离后,我们补充了传统的液相色谱-串联质谱(LC-MS)数据采集,使用高场非对称波形离子迁移谱(FAIMS)进一步简化血清蛋白质形式混合物。这种 LC-FAIMS-MS 方法鉴定了超过 1000 种小于 30 kDa 的血清蛋白质形式,优于传统的 LC-MS 数据采集,并且比以前的研究中鉴定的蛋白质形式数量增加了一倍以上。

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