SysQuan: Repurposing SILAC Mice for the Cost-Effective Absolute Quantitation of the Human Proteome.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Yassene Mohammed, Vincent R Richard, M Immanuel Reyes Madlangsakay, Ying Lao, Victor Spicer, Robert Popp, Claudia Gaither, Laura Hennecken, Wolfgang Kleinekofort, René P Zahedi, Christoph H Borchers
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引用次数: 0

Abstract

Relative quantitation, used by most mass spectrometry-based proteomics laboratories to determine protein fold-changes, requires samples being processed and analyzed together for best comparability through minimizing batch differences. This limits the adoption of mass spectrometry-based proteomics in population-wide studies and the detection of subtle but relevant changes in heterogeneous samples. Absolute quantitation circumvents these limitations and enables comparison of results across laboratories, studies, and over time. However, high cost of the essential stable isotope labeled (SIL) standards prevents widespread access and limits the number of quantifiable proteins. Our new approach, called "SysQuan", repurposes SILAC mouse tissues/biofluids as system-wide internal standards for matched human samples to enable absolute quantitation of, theoretically, two-thirds of the human proteome using 157,086 shared tryptic peptides, of which 73,901 with lysine on the c terminus. We demonstrate that SysQuan enables quantification of 70% and 31% of the liver and plasma proteomes, respectively. We demonstrate for 14 metabolic proteins that abundant SIL mouse tissues enable cost-effective reverse absolute quantitation in, theoretically, 1000s of human samples. Moreover, 10,000s of light/heavy doublets in untargeted SysQuan datasets enable unique postacquisition absolute quantitation. SysQuan empowers researchers to replace relative quantitation with affordable absolute quantitation at scale, making data comparable across laboratories, diseases and tissues, enabling completely novel study designs and increasing reusability of data in repositories.

SysQuan:重新利用SILAC小鼠进行具有成本效益的人类蛋白质组绝对定量。
相对定量是大多数基于质谱的蛋白质组学实验室用来确定蛋白质折叠变化的方法,它要求样品被一起处理和分析,通过最小化批次差异来获得最佳的可比性。这限制了在全人群研究中采用MS-based蛋白质组学,以及在异质样品中检测细微但相关的变化。绝对定量绕过了这些限制,可以跨实验室、研究和纵向比较结果。然而,必需稳定同位素标记(SIL)标准的高成本阻碍了广泛使用,并限制了可量化蛋白质的数量。我们的新方法,称为“SysQuan”,将SILAC小鼠组织/生物体液作为匹配人类样本的系统范围内的内部标准,理论上,可以使用157,086个共享色氨酸肽对三分之二的人类蛋白质组进行绝对定量,其中73,901个在c端具有赖氨酸。我们证明,SysQuan能够分别定量70%和31%的肝脏和血浆蛋白质组。我们证明,对于14种代谢蛋白,丰富的SIL小鼠组织可以在理论上对1000个人类样本进行成本效益高的反向绝对定量。此外,在非目标的SysQuan数据集中,有10,000个轻/重双重序列可以实现独特的采集后绝对定量。SysQuan使研究人员能够大规模地用可负担的绝对定量取代相对定量,使数据在实验室、疾病和组织之间具有可比性,从而实现全新的研究设计,并提高存储库中数据的可重用性。
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来源期刊
Molecular & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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