Proteomic Characterization of Urinary Exosomes with Pancreatic Cancer by Phosphatidylserine Imprinted Polymer Enrichment and Mass Spectrometry Analysis.
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引用次数: 0
Abstract
Exosomes, as carriers of cell-to-cell communication, can serve as promising biomarkers for probing the early diagnosis of cancer. Pancreatic cancer is a common malignant tumor of the pancreas with an insidious onset and difficult early diagnosis. The aim of this study was to capture exosomes in urine samples by phosphatidylserine-molecularly imprinted polymers (PS-MIPs). Transmission electron microscopy and nanoparticle tracking analysis as well as Western blot showed that our molecularly imprinted material can effectively capture urinary exosomes. Three parallel tests verified the reproducibility of the mass spectrometry assay and the stability of the material capture efficiency. Mass Spectrometry with nontargeted proteomics was combined to show differentially expressed proteins in exosomes between 5 pancreatic cancer patients and 5 healthy controls. The most significant changes in the proteomic profile in pancreatic cancer patients compared to healthy controls were the overexpression of SLC9A3R1, SPAG9, and ferritin light chain (FTL) These proteins may have an important role in diagnosis and prognostic assessment, supporting further scientific and clinical studies on pancreatic cancer.
外泌体是细胞间通信的载体,可以作为探查癌症早期诊断的生物标记物。胰腺癌是一种常见的胰腺恶性肿瘤,起病隐匿,难以早期诊断。本研究旨在利用磷脂酰丝氨酸-分子印迹聚合物(PS-MIPs)捕获尿液样本中的外泌体。透射电子显微镜和纳米粒子追踪分析以及 Western 印迹显示,我们的分子印迹材料能有效捕获尿液中的外泌体。三项平行测试验证了质谱分析的可重复性和材料捕获效率的稳定性。质谱法与非靶向蛋白质组学相结合,显示了5名胰腺癌患者和5名健康对照者外泌体中不同表达的蛋白质。与健康对照组相比,胰腺癌患者蛋白质组谱中最明显的变化是SLC9A3R1、SPAG9和铁蛋白轻链(FTL)的过度表达,这些蛋白质可能在诊断和预后评估中发挥重要作用,支持有关胰腺癌的进一步科学和临床研究。
期刊介绍:
Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".