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ProteinSeq:通过邻近连接和下一代测序进行高性能蛋白质组学分析。

ProteinSeq: high-performance proteomic analyses by proximity ligation and next generation sequencing.

机构信息

Department of Immunology Genetics and Pathology, Uppsala University, Uppsala, Sweden.

出版信息

PLoS One. 2011;6(9):e25583. doi: 10.1371/journal.pone.0025583. Epub 2011 Sep 29.

Abstract

Despite intense interest, methods that provide enhanced sensitivity and specificity in parallel measurements of candidate protein biomarkers in numerous samples have been lacking. We present herein a multiplex proximity ligation assay with readout via realtime PCR or DNA sequencing (ProteinSeq). We demonstrate improved sensitivity over conventional sandwich assays for simultaneous analysis of sets of 35 proteins in 5 µl of blood plasma. Importantly, we observe a minimal tendency to increased background with multiplexing, compared to a sandwich assay, suggesting that higher levels of multiplexing are possible. We used ProteinSeq to analyze proteins in plasma samples from cardiovascular disease (CVD) patient cohorts and matched controls. Three proteins, namely P-selectin, Cystatin-B and Kallikrein-6, were identified as putative diagnostic biomarkers for CVD. The latter two have not been previously reported in the literature and their potential roles must be validated in larger patient cohorts. We conclude that ProteinSeq is promising for screening large numbers of proteins and samples while the technology can provide a much-needed platform for validation of diagnostic markers in biobank samples and in clinical use.

摘要

尽管人们对此非常感兴趣,但在对大量样本中的候选蛋白生物标志物进行平行测量时,仍缺乏能提高灵敏度和特异性的方法。我们在此提出了一种多重邻近连接分析检测法,其检测结果可通过实时 PCR 或 DNA 测序(ProteinSeq)获得。与传统的夹心检测法相比,该方法在对 5μl 血浆中的 35 种蛋白质进行同时分析时,灵敏度显著提高。重要的是,与夹心检测法相比,我们观察到多重检测时背景的增加趋势最小,这表明可以进行更高水平的多重检测。我们使用 ProteinSeq 分析了心血管疾病 (CVD) 患者队列和匹配对照组的血浆样本中的蛋白质。三种蛋白质,即 P-选择素、胱抑素-B 和激肽释放酶-6,被鉴定为 CVD 的潜在诊断生物标志物。后两种在文献中尚未有报道,其潜在作用必须在更大的患者队列中进行验证。我们得出结论,ProteinSeq 有望用于筛选大量的蛋白质和样本,同时该技术可为生物库样本和临床应用中的诊断标志物的验证提供急需的平台。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8e5e/3183061/9bc6244ac02d/pone.0025583.g001.jpg

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