质谱法
生物标志物发现
蛋白质组
血液蛋白质类
蛋白质组学
化学
无标记量化
定量蛋白质组学
色谱法
生物化学
基因
作者
Yue Zhou,Zengqi Tan,Peng Xue,Yi Wang,Xiang Li,Feng Guan
出处
期刊:Proteomics
[Wiley]
日期:2021-02-23
卷期号:21 (5)
被引量:8
标识
DOI:10.1002/pmic.202000264
摘要
Abstract Mass spectrometry‐based plasma proteomics has been demonstrated to be a useful tool capable of quantifying hundreds of proteins in a single LC‐MS/MS experiment, for biomarker discovery or elucidation of disease mechanisms. We developed a novel data‐independent acquisition (DIA)/MS‐based workflow for high‐throughput, in‐depth and estimated absolute quantification of plasma proteins (termed HIAP‐DIA), without depleting high‐abundant proteins, in a single‐shot experiment. In HIAP‐DIA workflow, we generated an ultra‐deep cumulative undepleted and depleted spectral library which contained 55,157 peptides and 5,328 proteins, optimized column length (50 cm) and gradient (90 min) of liquid chromatography instrumentation, optimized 50 DIA segments with average isolation window 17 Th, and selected reference proteins for estimated absolute quantification of all plasma proteins. A total of 606 proteins were quantified in triplicate, and 427 proteins were quantified with CV <20% in plasma proteome. R‐squared value of overlapped 208 endogenous PQ500 estimated protein amounts from HIAP‐DIA and absolute quantification with internal standards was 0.82, indicating high quantification accuracy of HIAP‐DIA. As a pilot study, the HIAP‐DIA approach described here was applied to a myelodysplastic syndromes (MDS) disease cohort. We achieved absolute quantification of 789 plasma proteins in 22 clinical plasma samples, spanning less than six orders of magnitude with quantification limit 10–20 ng/mL, and discovered 95 differentially expressed proteins providing insights into MDS pathophysiology.
科研通智能强力驱动
Strongly Powered by AbleSci AI