Institute for Clinical Chemistry, Medical Faculty Mannheim of the University of Heidelberg, University Hospital Mannheim, Mannheim, Germany.
Clin Chem. 2010 Feb;56(2):272-80. doi: 10.1373/clinchem.2009.133462.
The measurement of disease-related proteolytic activity in complex biological matrices like serum is of emerging interest to improve the diagnosis of malignant diseases. We developed a mass spectrometry (MS)-based functional proteomic profiling approach that tracks degradation of artificial endoprotease substrates in serum specimens.
The synthetic reporter peptides that are cleaved by tumor-associated endopeptidases were systematically optimized with regard to flanking affinity tags, linkers, and stabilizing elements. Serum specimens were incubated with reporter peptides under standardized conditions and the peptides subsequently extracted with affinity chromatography before MS. In a pilot study an optimized reporter peptide with the cleavage motif WKPYDAADL was added to serum specimens from colorectal tumor patients (n = 50) and healthy controls (n = 50). This reporter peptide comprised a known cleavage site for the cysteine-endopeptidase "cancer procoagulant."
Serial affinity chromatography using biotin- and 6xHis tags was superior to the single affinity enrichment using only 6xHis tags. Furthermore, protease-resistant stop elements ensured signal accumulation after prolonged incubation. In contrast, signals from reporter peptides without stop elements vanished completely after prolonged incubation owing to their total degradation. Reporter-peptide spiking showed good reproducibility, and the difference in proteolytic activity between serum specimens from cancer patients and controls was highly significant (P < 0.001).
The introduction of a few structural key elements (affinity tags, linkers, d-amino acids) into synthetic reporter peptides increases the diagnostic sensitivity for MS-based protease profiling of serum specimens. This new approach might lead to functional MS-based protease profiling for improved disease classification.
在血清等复杂生物基质中测量与疾病相关的蛋白水解活性,对于提高恶性疾病的诊断能力具有重要意义。我们开发了一种基于质谱(MS)的功能蛋白质组学分析方法,用于跟踪血清标本中人工内切酶底物的降解情况。
我们系统性地优化了与肿瘤相关的内切肽酶切割的合成报告肽,在优化过程中考虑了侧翼亲和标签、连接子和稳定元件。在标准化条件下,将报告肽与血清标本孵育,然后通过亲和层析提取肽段,再进行 MS 分析。在一项初步研究中,我们将一种经优化的报告肽(切割基序为 WKPYDAADL)添加到结直肠肿瘤患者(n=50)和健康对照者(n=50)的血清标本中。这种报告肽包含一个已知的半胱氨酸内切酶“癌促凝因子”的切割位点。
采用生物素和 6xHis 标签的串联亲和层析优于仅使用 6xHis 标签的单一亲和富集。此外,蛋白酶抗性的终止元件可确保在长时间孵育后信号积累。相比之下,由于完全降解,不含终止元件的报告肽的信号在长时间孵育后完全消失。报告肽的加标显示出良好的重现性,且癌症患者和对照组血清标本之间的蛋白水解活性差异具有高度显著性(P<0.001)。
在合成报告肽中引入几个结构关键元件(亲和标签、连接子、D-氨基酸)可提高基于 MS 的蛋白酶谱分析血清标本的诊断灵敏度。这种新方法可能会推动基于 MS 的功能蛋白酶谱分析,以改善疾病分类。