蛋白质组
血液蛋白质类
蛋白质组学
定量蛋白质组学
化学
质谱法
色谱法
无标记量化
计算生物学
生物标志物
血浆
肽
串联质谱法
生物信息学
生物
生物化学
基因
作者
Antoine Lesur,François Bernardin,Eric Koncina,Elisabeth Letellier,Gary Kruppa,Pierre-Olivier Schmit,Gunnar Dittmar
标识
DOI:10.1021/acs.jproteome.2c00575
摘要
Blood analysis is one of the foundations of clinical diagnostics. In recent years, the analysis of proteins in blood samples by mass spectrometry has taken a jump forward in terms of sensitivity and the number of identified proteins. The recent development of parallel reaction monitoring with parallel accumulation and serial fragmentation (prm-PASEF) combines ion mobility as an additional separation dimension. This increases the proteome coverage while allowing the use of shorter chromatographic gradients. To demonstrate the method's full potential, we used an isotope-labeled synthetic peptide mix of 782 peptides, derived from 579 plasma proteins, spiked into blood plasma samples with a prm-PASEF measurement allowing the quantification of 565 plasma proteins by targeted proteomics. As a less time-consuming alternative to the prm-PASEF method, we describe guided data independent acquisition (dia)-PASEF (g-dia-PASEF) and compare its application to prm-PASEF for measuring blood plasma. To demonstrate both methods' performance in clinical samples, 20 patient plasma samples from a colorectal cancer (CRC) cohort were analyzed. The analysis identified 14 differentially regulated proteins between the CRC patient and control individual plasma samples. This shows the technique's potential for the rapid and unbiased screening of blood proteins, abolishing the need for the preselection of potential biomarker proteins.
科研通智能强力驱动
Strongly Powered by AbleSci AI