CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian 116023, China; University of Chinese Academy of Sciences, Beijing 100049, China.
CAS Key Laboratory of Separation Science for Analytical Chemistry, Dalian Institute of Chemical Physics, Chinese Academy of Sciences (CAS), Dalian 116023, China.
J Proteomics. 2019 Mar 30;196:33-41. doi: 10.1016/j.jprot.2019.01.015. Epub 2019 Jan 29.
Cell surface proteins are responsible for many critical functions. Systematical profiling of these proteins would provide a unique molecular fingerprint to classify cells and provide important information to guide immunotherapy. Cell surface biotinylation method is one of the effective methods for cell surface proteome profiling. However, classical workflows suffer the disadvantage of poor sensitivity. In this work, we presented an optimized protocol which enabled identification of more cell surface proteins from a smaller number of cells. When this protocol was combined with a tip based fractionation scheme, 4510 proteins, including 2055 annotated cell surface-associated proteins, were identified with only 20 microgram protein digest, showing the superior sensitivity of the approach. To enable process 10 times fewer cells, a pipet tip based protocol was developed, which led to the identification of about 600 cell surface-associated proteins. Finally, the new protocol was applied to compare the cell surface proteomes of two breast cancer cell lines, BT474 and MCF7. It was found that many cell surface-associated proteins were differentially expressed. The new protocols were demonstrated to be easy to perform, time-saving, and yielding good selectivity and high sensitivity. We expect this protocol would have broad applications in the future. SIGNIFICANCE: Cell surface proteins confer specific cellular functions and are easily accessible. They are often used as drug targets and potential biomarkers for prognostic or diagnostic purposes. Thus, efficient methods for profiling cell surface proteins are highly demanded. Cell surface biotinylation method is one of the effective methods for cell surface proteome profiling. However, classical workflows suffer the disadvantage of poor sensitivity. In this work, we presented an optimized protocol which enabled identification of more cell surface proteins from a smaller number of starting cells. The new protocol is easier to perform, time-saving and has less protein loss. By using a special pipet tip, sensitive and in-depth cell surface proteome analysis could be achieved. In combination with label-free quantitative MS, the new protocol can be applied to the differential analysis of the cell surface proteomes between different cell lines to find genetically- or drug-induced changes. We expect this protocol would have broad application in cell surface protein studies, including the discovery of diagnostic marker proteins and potential therapeutic targets.
细胞表面蛋白在许多关键功能中发挥作用。系统地对这些蛋白质进行分析可以提供独特的分子指纹图谱,用于对细胞进行分类,并提供指导免疫治疗的重要信息。细胞表面生物素化方法是细胞表面蛋白质组分析的有效方法之一。然而,传统的工作流程存在灵敏度差的缺点。在这项工作中,我们提出了一种优化的方案,可以从较少的细胞中鉴定更多的细胞表面蛋白。当该方案与基于吸头的分级方案结合使用时,仅用 20 微克蛋白质消化物即可鉴定出 4510 种蛋白质,包括 2055 种注释的细胞表面相关蛋白,显示出该方法的超高灵敏度。为了能够处理少 10 倍的细胞,开发了一种基于吸头的方案,可鉴定出约 600 种细胞表面相关蛋白。最后,将新方案应用于比较两种乳腺癌细胞系 BT474 和 MCF7 的细胞表面蛋白质组。结果发现,许多细胞表面相关蛋白表达差异。该新方案易于操作,节省时间,具有良好的选择性和高灵敏度。我们期望该方案在未来具有广泛的应用前景。
细胞表面蛋白赋予特定的细胞功能,且易于获得。它们通常被用作药物靶点和潜在的预后或诊断生物标志物。因此,高效的细胞表面蛋白质分析方法需求量很大。细胞表面生物素化方法是细胞表面蛋白质组分析的有效方法之一。然而,传统的工作流程存在灵敏度差的缺点。在这项工作中,我们提出了一种优化的方案,可以从较少的起始细胞中鉴定更多的细胞表面蛋白。新方案更易于操作,节省时间,并且蛋白质损失更少。通过使用特殊的吸头,可以实现敏感且深入的细胞表面蛋白质组分析。与无标记定量 MS 结合使用,新方案可用于不同细胞系之间的细胞表面蛋白质组差异分析,以发现遗传或药物诱导的变化。我们期望该方案在细胞表面蛋白研究中具有广泛的应用,包括诊断标记蛋白和潜在治疗靶点的发现。