首页> 外文期刊>Journal of chromatography, A: Including electrophoresis and other separation methods >Microproteomic analysis of 10,000 laser captured microdissected breast tumor cells using short-range sodium dodecyl sulfate-polyacrylamide gel electrophoresis and porous layer open tubular liquid chromatography tandem mass spectrometry
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Microproteomic analysis of 10,000 laser captured microdissected breast tumor cells using short-range sodium dodecyl sulfate-polyacrylamide gel electrophoresis and porous layer open tubular liquid chromatography tandem mass spectrometry

机译:短程十二烷基硫酸钠-聚丙烯酰胺凝胶电泳和多孔层开管液相色谱串联质谱法对10,000个激光捕获的显微切割的乳腺肿瘤细胞进行微蛋白质组学分析

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摘要

Precise proteomic profiling of limited levels of disease tissue represents an extremely challenging task. Here, we present an effective and reproducible microproteomic workflow for sample sizes of only 10,000 cells that integrates selective sample procurement via laser capture microdissection (LCM), sample clean-up and protein level fractionation using short-range SDS-PAGE, followed by ultrasensitive LC-MS/MS analysis using a 10 μm i.d. porous layer open tubular (PLOT) column. With 10,000 LCM captured mouse hepatocytes for method development and performance assessment, only 10% of the in-gel digest, equivalent to ~1000 cells, was needed per LC-MS/MS analysis. The optimized workflow was applied to the differential proteomic analysis of 10,000 LCM collected primary and metastatic breast cancer cells from the same patient. More than 1100 proteins were identified from each injection with >1700 proteins identified from three LCM samples of 10,000 cells from the same patient (1123 with at least two unique peptides). Label free quantitation (spectral counting) was performed to identify differential protein expression between the primary and metastatic cell populations. Informatics analysis of the resulting data indicated that vesicular transport and extracellular remodeling processes were significantly altered between the two cell types. The ability to extract meaningful biological information from limited, but highly informative cell populations demonstrates the significant benefits of the described microproteomic workflow.
机译:对有限水平的疾病组织进行精确的蛋白质组学分析是一项极富挑战性的任务。在这里,我们提出了一种有效且可重现的微蛋白质组学工作流程,仅处理10,000个细胞即可,它通过激光捕获显微切割(LCM),使用短距离SDS-PAGE进行样品净化和蛋白质水平分级分离,然后进行超灵敏LC集成了选择性样品使用10μm内径的-MS / MS分析多孔层开管(PLOT)柱。通过LC-MS / MS分析,使用10,000个LCM捕获的小鼠肝细胞进行方法开发和性能评估,仅需要10%的凝胶内消化物,相当于约1000个细胞。优化的工作流程应用于从同一患者中收集的10,000 LCM收集的原发性和转移性乳腺癌细胞的差异蛋白质组学分析。每次注射中鉴定出1100多种蛋白质,而从同一患者的10,000个细胞的三个LCM样品中鉴定出的> 1700种蛋白质(1123种具有至少两个独特的肽)。进行无标记定量(光谱计数)以鉴定原代和转移细胞群之间的差异蛋白表达。对所得数据的信息学分析表明,两种细胞类型之间的囊泡运输和细胞外重塑过程发生了显着变化。从有限但信息量高的细胞群体中提取有意义的生物学信息的能力证明了所描述的微蛋白质组学工作流程的显着优势。

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