Tebbe Andreas, Klammer Martin, Sighart Stefanie, Schaab Christoph, Daub Henrik
Evotec (München) GmbH, Am Klopferspitz 19a, 82152, Martinsried, Germany.
Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Germany.
Rapid Commun Mass Spectrom. 2015 May 15;29(9):795-801. doi: 10.1002/rcm.7160.
Advanced implementations of mass spectrometry (MS)-based proteomics allow for comprehensive proteome expression profiling across many biological samples. The outcome of such studies critically depends on accurate and precise quantification, which has to be ensured for high-coverage proteome analysis possible on fast and sensitive mass spectrometers such as quadrupole orbitrap instruments.
We conducted ultra-high-performance liquid chromatography (UHPLC)/MS experiments on a Q Exactive to systematically compare label-free proteome quantification across six human cancer cell lines with quantification against a shared reference mix generated by stable isotope labeling with amino acids in cell culture (super-SILAC).
Single-shot experiments identified on average about 5000 proteins in the label-free compared to about 3500 in super-SILAC experiments. Label-free quantification was slightly less precise than super-SILAC in replicate measurements, verifying previous results obtained for lower proteome coverage. Due to the higher number of quantified proteins, more significant differences were detected in label-free cell line comparisons, whereas a higher percentage of quantified proteins was identified as differentially expressed in super-SILAC experiments. Additional label-free replicate analyses effectively compensated for lower precision of quantification. Finally, peptide fractionation by high pH reversed-phase chromatography prior to LC/MS analysis further increased the robustness and precision of label-free quantification in conjunction with higher proteome coverage.
Our results benchmark and highlight the utility of label-free proteome quantification for applications such as target and biomarker discovery on state-of-the-art UHPLC/MS workflows.
基于质谱(MS)的蛋白质组学的先进技术可实现对众多生物样品的全面蛋白质组表达谱分析。此类研究的结果严重依赖于准确和精确的定量分析,对于在快速且灵敏的质谱仪(如四极杆轨道阱仪器)上进行高覆盖率蛋白质组分析而言,必须确保这一点。
我们在Q Exactive质谱仪上进行了超高效液相色谱(UHPLC)/MS实验,以系统地比较六种人类癌细胞系的无标记蛋白质组定量分析结果,并与通过细胞培养中氨基酸稳定同位素标记(超级SILAC)生成的共享参考混合物进行定量分析。
单次实验中,无标记方法平均鉴定出约5000种蛋白质,而超级SILAC实验中约为3500种。在重复测量中,无标记定量分析的精确性略低于超级SILAC,证实了先前在较低蛋白质组覆盖率下获得的结果。由于定量蛋白质的数量更多,在无标记细胞系比较中检测到了更多显著差异,而在超级SILAC实验中,被鉴定为差异表达的定量蛋白质比例更高。额外的无标记重复分析有效弥补了定量分析精确性较低的问题。最后,在LC/MS分析之前通过高pH反相色谱进行肽段分级分离,结合更高的蛋白质组覆盖率,进一步提高了无标记定量分析的稳健性和精确性。
我们的结果为无标记蛋白质组定量分析在诸如基于最新UHPLC/MS工作流程的靶点和生物标志物发现等应用中的实用性提供了基准并突出了其价值。