Novartis Institutes for Biomedical Research , Cambridge, Massachusetts 02139, United States.
Anal Chem. 2013 Nov 19;85(22):10680-5. doi: 10.1021/ac401937c. Epub 2013 Oct 30.
Limited samples, such as those that are in vivo sourced via biopsy, are closely representative of biological systems and contain valuable information for drug discovery. However, these precious samples are often heterogeneous and require cellular prefractionation prior to proteomic analysis to isolate specific subpopulations of interest. Enriched cells from in vivo samples are often very limited (<10(4) cells) and pose a significant challenge to proteomic nanoliquid chromatography mass spectrometry (nanoLCMS) sample preparation. To enable the streamlined analysis of these limited samples, we have developed an online cell enrichment, microscale sample preparation, nanoLCMS proteomics workflow by integrating fluorescence activated cell sorting (FACS), focused ultrasonication, microfluidics, immobilized trypsin digestion, and nanoLCMS. To assess the performance of the online FACS-Chip-LCMS workflow, 5000 fluorescent labeled cells were enriched from a 5% heterogeneous cell population and processed for LCMS proteomics in less than 2 h. Within these 5000 enriched cells, 30 peptides corresponding to 17 proteins spanning more than 4 orders of magnitude of cellular abundance were quantified using a QExactive MS. The results from the online FACS-Chip-LCMS workflow starting from 5000 enriched cells were directly compared to results from a traditional macroscale sample preparation workflow starting from 2.0 × 10(6) cells. The microscale FACS-Chip-LCMS workflow demonstrated high cellular enrichment efficiency and high peptide recovery across the wide dynamic range of targeted peptides. Overall the microscale FACS-Chip-LCMS workflow has shown effectiveness in efficiently preparing limited amounts of FACS enriched cells in an online manner for proteomic LCMS.
有限的样本,如通过活检获得的体内样本,与生物系统密切相关,包含了药物发现的有价值信息。然而,这些宝贵的样本通常具有异质性,需要在蛋白质组学分析前进行细胞预分级,以分离出感兴趣的特定亚群。从体内样本中富集的细胞通常非常有限(<10^4 个细胞),这对蛋白质组学纳流色谱-质谱(nanoLCMS)样品制备构成了重大挑战。为了能够对这些有限的样本进行简化分析,我们开发了一种在线细胞富集、微尺度样品制备、nanoLCMS 蛋白质组学工作流程,该工作流程整合了荧光激活细胞分选(FACS)、聚焦超声、微流控、固定化胰蛋白酶消化和 nanoLCMS。为了评估在线 FACS-Chip-LCMS 工作流程的性能,我们从 5%的异质细胞群体中富集了 5000 个荧光标记细胞,并在不到 2 小时内对其进行了 LCMS 蛋白质组学处理。在这 5000 个富集细胞中,使用 QExactive MS 定量了 30 个对应于 17 个蛋白质的肽段,这些蛋白质跨越了 4 个数量级的细胞丰度。从 5000 个富集细胞开始的在线 FACS-Chip-LCMS 工作流程的结果与从 2.0×10^6 个细胞开始的传统宏观样品制备工作流程的结果直接进行了比较。微尺度 FACS-Chip-LCMS 工作流程在广泛的靶向肽动态范围内表现出高细胞富集效率和高肽回收率。总体而言,微尺度 FACS-Chip-LCMS 工作流程在以在线方式高效地制备有限量的 FACS 富集细胞方面表现出了有效性,可用于蛋白质组学 nanoLCMS。