Isasa Marta, Rose Christopher M, Elsasser Suzanne, Navarrete-Perea José, Paulo Joao A, Finley Daniel J, Gygi Steven P
Department of Cell Biology, Harvard Medical School , Boston, Massachusetts 02115, United States.
National Autonomous University of Mexico, Av. Universidad 3000, Mexico City, District Federal 04510, Mexico.
J Proteome Res. 2015 Dec 4;14(12):5306-17. doi: 10.1021/acs.jproteome.5b00802. Epub 2015 Nov 4.
Characterizing a protein's function often requires a description of the cellular state in its absence. Multiplexing in mass spectrometry-based proteomics has now achieved the ability to globally measure protein expression levels in yeast from 10 cell states simultaneously. We applied this approach to quantify expression differences in wild type and nine deubiquitylating enzyme (DUB) knockout strains with the goal of creating "information networks" that might provide deeper, mechanistic insights into a protein's biological role. In total, more than 3700 proteins were quantified with high reproducibility across three biological replicates (30 samples in all). DUB mutants demonstrated different proteomics profiles, consistent with distinct roles for each family member. These included differences in total ubiquitin levels and specific chain linkages. Moreover, specific expression changes suggested novel functions for several DUB family members. For instance, the ubp3Δ mutant showed large expression changes for members of the cytochrome C oxidase complex, consistent with a role for Ubp3 in mitochondrial regulation. Several DUBs also showed broad expression changes for phosphate transporters as well as other components of the inorganic phosphate signaling pathway, suggesting a role for these DUBs in regulating phosphate metabolism. These data highlight the potential of multiplexed proteome-wide analyses for biological investigation and provide a framework for further study of the DUB family. Our methods are readily applicable to the entire collection of yeast deletion mutants and may help facilitate systematic analysis of yeast and other organisms.
表征一种蛋白质的功能通常需要描述其缺失时的细胞状态。基于质谱的蛋白质组学中的多重分析现已实现了同时从10种细胞状态全局测量酵母中蛋白质表达水平的能力。我们应用这种方法来量化野生型和9种去泛素化酶(DUB)敲除菌株中的表达差异,目的是创建“信息网络”,从而可能为蛋白质的生物学作用提供更深入的机制性见解。总共对超过3700种蛋白质进行了定量,在三个生物学重复样本(共30个样本)中具有高重现性。DUB突变体表现出不同的蛋白质组学特征,这与每个家族成员的不同作用一致。这些差异包括总泛素水平和特定链连接的差异。此外,特定的表达变化表明几个DUB家族成员具有新功能。例如,ubp3Δ突变体显示细胞色素C氧化酶复合体成员有较大的表达变化,这与Ubp3在线粒体调节中的作用一致。几个DUB还显示出磷酸盐转运蛋白以及无机磷酸盐信号通路的其他组分有广泛的表达变化,表明这些DUB在调节磷酸盐代谢中起作用。这些数据突出了多重全蛋白质组分析在生物学研究中的潜力,并为进一步研究DUB家族提供了一个框架。我们的方法很容易应用于酵母缺失突变体的整个集合,可能有助于促进对酵母和其他生物体的系统分析。