Li Yilan, Yuan Huiming, Dai Zhongpeng, Zhang Weijie, Zhang Xiaodan, Zhao Baofeng, Liang Zhen, Zhang Lihua, Zhang Yukui
CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian, 116023, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
CAS Key Laboratory of Separation Science for Analytical Chemistry, National Chromatographic Research and Analysis Center, Dalian Institute of Chemical Physics, Chinese Academy of Science, Dalian, 116023, China.
Anal Chim Acta. 2021 Apr 15;1154:338343. doi: 10.1016/j.aca.2021.338343. Epub 2021 Feb 19.
In this study, we developed an integrated plasma proteome sample preparation system, by which high-abundance proteins from human plasma were first depleted by immunoaffinity column, followed by on-line middle and low-abundance proteins denaturation, reduction, desalting and tryptic digestion. To evaluate the performance of such a system, 20 μL plasma was processed automatically, followed by 1-h gradient liquid chromatography-mass spectrometry analysis (LC-MS). Compared to conventional in-solution protocols, not only the sample preparation time could be shortened from 20 h to 20 min, but also the number of identified proteins were greatly increased by 1.4-2.0 times. Such an integrated system allows us to process 36 human plasma samples per day, with more than 300 proteins and 52 FDA approved disease markers per sample being identified. With combination of such an integrated sample preparation system with label-free single-shot LC-MS/MS, the human plasma proteins could be quantified across more than 6 orders of magnitude of abundance range with high reproducibility (Pearson R = 0.99, n = 9). In addition, the relative quantification of human plasma samples from diabetic retinopathy patients and diabetic patients demonstrated the feasibility of our developed workflow for clinic plasma proteome profiling. All these results demonstrated that our developed integrated plasma proteome sample preparation system would provide a new tool for high throughput biomarker discovery.
在本研究中,我们开发了一种集成的血浆蛋白质组样品制备系统,通过该系统,首先利用免疫亲和柱去除人血浆中的高丰度蛋白质,随后在线对中低丰度蛋白质进行变性、还原、脱盐和胰蛋白酶消化。为评估该系统的性能,对20 μL血浆进行自动处理,随后进行1小时的梯度液相色谱 - 质谱分析(LC-MS)。与传统的溶液内方法相比,不仅样品制备时间可从20小时缩短至20分钟,而且鉴定出的蛋白质数量大幅增加了1.4至2.0倍。这样一个集成系统使我们每天能够处理36份人血浆样品,每份样品可鉴定出300多种蛋白质和52种FDA批准的疾病标志物。将这种集成样品制备系统与无标记单次LC-MS/MS相结合,可在超过6个数量级的丰度范围内对人血浆蛋白质进行高重现性定量(Pearson相关系数R = 0.99,n = 9)。此外,对糖尿病视网膜病变患者和糖尿病患者的人血浆样品进行相对定量,证明了我们开发的临床血浆蛋白质组分析工作流程的可行性。所有这些结果表明,我们开发的集成血浆蛋白质组样品制备系统将为高通量生物标志物发现提供一种新工具。