对高通量蛋白质组学的Olink揭示接近扩展试验的简要评价:使用NIST SRM 1950和两个峰值蛋白标准的案例研究。

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Yuri E. M. van der Burgt, , , Emile de Meijer, , and , Magnus Palmblad*, 
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引用次数: 0

摘要

近年来,通过质谱仪器和样品制备以及新的高通量亲和力技术的进步,血浆蛋白质组学重新受到关注。在这里,我们评估了新的Olink Reveal平台的分析性能,该平台是一种基于接近扩展分析(PEA)的技术,可量化1034种蛋白质,涵盖许多生物途径,特别是免疫系统过程。使用NIST SRM 1950血浆标准中插入的重组白细胞介素-10 (IL-10)和血管内皮生长因子D (VEGF-D),我们评估了Olink Reveal检测的线性、灵敏度、精密度和准确性。结果表明,IL-10和VEGF-D在不同的峰化浓度下具有很强的线性关系(R2 0.922-0.953),证实了这两种蛋白在Olink Reveal平台上的强大技术性能。结果数据不包含敏感或个人身份信息,因此适合用于基准测试和软件开发。这些数据在标识符为PAD000009的PRIDE存储库中公开可用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Brief Evaluation of Olink Reveal Proximity Extension Assay for High-Throughput Proteomics: A Case Study Using NIST SRM 1950 and Two Spike-In Protein Standards

Plasma proteomics has regained attention in recent years through advancements in mass spectrometry instrumentation and sample preparation as well as new high-throughput affinity-based technologies. Here, we evaluate the analytical performance of the new Olink Reveal platform, a proximity extension assay (PEA)-based technology quantifying 1034 proteins and covering many biological pathways, in particular immune system processes. Using spiked-in recombinant Interleukin-10 (IL-10) and vascular endothelial growth factor D (VEGF-D) in the NIST SRM 1950 plasma standard, we assessed the linearity, sensitivity, precision, and accuracy of the Olink Reveal assay. The results demonstrated strong linear relationships (R2 0.922–0.953) for both IL-10 and VEGF-D across spiked-in concentrations, confirming the robust technical performance for these two proteins in the Olink Reveal platform. The resulting data contain no sensitive or personally identifiable information and are therefore suitable for use in benchmarking and software development. The data are publicly available in the PRIDE repository with identifier PAD000009.

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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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