Profiling the tumor microenvironment proteome in prostate cancer using laser capture microdissection coupled to LC⿿MS⿿A technical report

Q4 Biochemistry, Genetics and Molecular Biology EuPA Open Proteomics Pub Date : 2016-03-01 DOI:10.1016/j.euprot.2015.11.001
L. Staunton , C. Tonry , R. Lis , S. Finn , J. O⿿Leary , M. Loda , M. Bowden , S.R. Pennington
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引用次数: 12

Abstract

Laser capture microdissection (LCM) allows microscopic procurement of specific cell types from tissue sections. Here, we present an optimized workflow for coupling LCM to LC⿿MS/MS including: sectioning of tissue, a standard LCM workflow, protein digestion and advanced LC⿿MS/MS. Soluble proteins extracted from benign epithelial cells, their associated stroma, tumor epithelial cells and their associated stromal cells from a single patient tissue sample were digested and profiled using advanced LC⿿MS/MS. The correlation between technical replicates was R2 = 0.99 with a mean % CV of 9.55% ± 8.73. The correlation between sample replicates was R2 = 0.97 with a mean % CV of 13.83% ± 10.17. This represents a robust, systematic approach for profiling of the tumor microenvironment using LCM coupled to label-free LC⿿MS/MS.

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利用激光捕获显微解剖结合LC、MS、A技术报告分析前列腺癌肿瘤微环境蛋白质组
激光捕获显微解剖(LCM)允许显微采购特定细胞类型的组织切片。在这里,我们提出了LCM与LC /MS /MS耦合的优化工作流程,包括:组织切片、标准LCM工作流程、蛋白质消化和高级LC /MS /MS。从单个患者组织样本的良性上皮细胞及其相关基质、肿瘤上皮细胞及其相关基质细胞中提取的可溶性蛋白被消化并使用先进的LC /MS /MS进行分析。技术重复间相关系数R2 = 0.99,平均% CV为9.55%±8.73。样品重复间相关系数R2 = 0.97,平均% CV为13.83%±10.17。这代表了使用LCM与无标记LC /MS /MS相结合来分析肿瘤微环境的一种强大、系统的方法。
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EuPA Open Proteomics
EuPA Open Proteomics Biochemistry, Genetics and Molecular Biology-Biochemistry
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Proceedings of the EuBIC-MS 2020 Developers’ Meeting Editorial: The next generation in (EuPA Open) Proteomics Aims & scope Proceedings of the EuBIC Winter School 2019 Introducing the YPIC challenge
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