Olink Proteomics, Uppsala, Sweden.
Olink Proteomics, Uppsala, Sweden.
Mol Cell Proteomics. 2021;20:100168. doi: 10.1016/j.mcpro.2021.100168. Epub 2021 Oct 27.
Understanding the dynamics of the human proteome is crucial for developing biomarkers to be used as measurable indicators for disease severity and progression, patient stratification, and drug development. The Proximity Extension Assay (PEA) is a technology that translates protein information into actionable knowledge by linking protein-specific antibodies to DNA-encoded tags. In this report we demonstrate how we have combined the unique PEA technology with an innovative and automated sample preparation and high-throughput sequencing readout enabling parallel measurement of nearly 1500 proteins in 96 samples generating close to 150,000 data points per run. This advancement will have a major impact on the discovery of new biomarkers for disease prediction and prognosis and contribute to the development of the rapidly evolving fields of wellness monitoring and precision medicine.
了解人类蛋白质组的动态对于开发生物标志物至关重要,这些生物标志物可作为衡量疾病严重程度和进展、患者分层以及药物开发的可测量指标。邻近延伸分析(PEA)是一种将蛋白质信息转化为可操作知识的技术,它将蛋白质特异性抗体与 DNA 编码标签连接起来。在本报告中,我们展示了如何将独特的 PEA 技术与创新的自动化样本制备和高通量测序读数相结合,从而能够在 96 个样本中同时测量近 1500 种蛋白质,每次运行生成近 150000 个数据点。这一进展将对疾病预测和预后新生物标志物的发现产生重大影响,并为健康监测和精准医学等快速发展领域的发展做出贡献。