基于抗体的亲和捕获结合 LC-MS 分析用于鉴定 COVID-19 疾病血清生物标志物。
Antibody-Based Affinity Capture Combined with LC-MS Analysis for Identification of COVID-19 Disease Serum Biomarkers.
机构信息
Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.
Department of Chemical Engineering & Biotechnology, University of Cambridge, Cambridge, UK.
出版信息
Methods Mol Biol. 2022;2511:183-200. doi: 10.1007/978-1-0716-2395-4_14.
Blood serum or plasma proteins are potentially useful in COVID-19 research as biomarkers for risk prediction, diagnosis, stratification, and treatment monitoring. However, serum protein-based biomarker identification and validation is complicated due to the wide concentration range of these proteins, which spans more than ten orders of magnitude. Here we present a combined affinity purification-liquid chromatography mass spectrometry approach which allows identification and quantitation of the most abundant serum proteins along with the nonspecifically bound and interaction proteins. This led to the reproducible identification of more than 100 proteins that were not specifically targeted by the affinity column. Many of these have already been implicated in COVID-19 disease.
血清或血浆蛋白作为 COVID-19 研究中的风险预测、诊断、分层和治疗监测的生物标志物具有潜在的应用价值。然而，由于这些蛋白质的浓度范围很广，跨越了十个数量级以上，因此基于血清蛋白的生物标志物的识别和验证变得很复杂。在这里，我们提出了一种联合亲和纯化-液相色谱质谱法，该方法可以鉴定和定量最丰富的血清蛋白，以及非特异性结合蛋白和相互作用蛋白。这导致了超过 100 种非特异性结合蛋白的可重复性鉴定。其中许多已经与 COVID-19 疾病有关。
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