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使用短程十二烷基硫酸钠-聚丙烯酰胺凝胶电泳和多孔层开放管状液相色谱串联质谱法对 10,000 个激光捕获微切割的乳腺癌肿瘤细胞进行微蛋白组分析。

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.

机构信息

Barnett Institute and Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA.

出版信息

J Chromatogr A. 2011 Nov 11;1218(45):8168-74. doi: 10.1016/j.chroma.2011.09.022. Epub 2011 Sep 14.

Abstract

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.

摘要

精确的蛋白质组学分析是一个极具挑战性的任务,尤其是在疾病组织样本量有限的情况下。在这里,我们提出了一种有效的、可重现的微蛋白质组学工作流程,适用于仅 10000 个细胞的样本量。该工作流程集成了通过激光捕获显微切割(LCM)进行选择性样本采集、使用短范围 SDS-PAGE 进行样品净化和蛋白质水平分级,然后使用 10μm i.d. 多孔层开放管(PLOT)柱进行超灵敏 LC-MS/MS 分析。对于方法开发和性能评估,我们使用 10000 个 LCM 捕获的小鼠肝细胞,每个 LC-MS/MS 分析仅需要 10%的胶内消化物,相当于约 1000 个细胞。优化后的工作流程应用于对同一患者的 10000 个 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。每次进样可鉴定出 1100 多种蛋白质,从同一患者的 10000 个细胞的三个 LCM 样本中可鉴定出 1700 多种蛋白质(其中 1123 种至少有两个独特肽)。采用无标记定量(谱计数)来鉴定原发性和转移性细胞群体之间的差异蛋白质表达。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显著改变。从有限但信息量极大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著优势。

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