Shalit Tali, Elinger Dalia, Savidor Alon, Gabashvili Alexandra, Levin Yishai
†de Botton Institute for Protein Profiling and ‡Ilana and Pascal Mantoux Institute for Bioinformatics, The Nancy and Stephen Grand Israel National Center for Personalized Medicine, Weizmann Institute of Science, Rehovot 76100, Israel.
J Proteome Res. 2015 Apr 3;14(4):1979-86. doi: 10.1021/pr501045t. Epub 2015 Mar 24.
Presented is a data set for benchmarking MS1-based label-free quantitative proteomics using a quadrupole orbitrap mass spectrometer. Escherichia coli digest was spiked into a HeLa digest in four different concentrations, simulating protein expression differences in a background of an unchanged complex proteome. The data set provides a unique opportunity to evaluate the proteomic platform (instrumentation and software) in its ability to perform MS1-intensity-based label-free quantification. We show that the presented combination of informatics and instrumentation produces high precision and quantification accuracy. The data were also used to compare different quantitative protein inference methods such as iBAQ and Hi-N. The data can also be used as a resource for development and optimization of proteomics informatics tools, thus the raw data have been deposited to ProteomeXchange with identifier PXD001385.
本文展示了一个数据集,用于使用四极杆轨道阱质谱仪对基于MS1的无标记定量蛋白质组学进行基准测试。将大肠杆菌消化物以四种不同浓度添加到HeLa消化物中,模拟在不变的复杂蛋白质组背景下的蛋白质表达差异。该数据集为评估蛋白质组学平台(仪器和软件)基于MS1强度进行无标记定量的能力提供了独特的机会。我们表明,所展示的信息学和仪器的组合产生了高精度和定量准确性。这些数据还用于比较不同的定量蛋白质推断方法,如iBAQ和Hi-N。这些数据也可作为蛋白质组学信息学工具开发和优化的资源,因此原始数据已存入ProteomeXchange,标识符为PXD001385。