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从深入的综合基因组学和蛋白质组学分析中提取的定量和定性蛋白质组特征。

Quantitative and qualitative proteome characteristics extracted from in-depth integrated genomics and proteomics analysis.

作者信息

Low Teck Yew, van Heesch Sebastiaan, van den Toorn Henk, Giansanti Piero, Cristobal Alba, Toonen Pim, Schafer Sebastian, Hübner Norbert, van Breukelen Bas, Mohammed Shabaz, Cuppen Edwin, Heck Albert J R, Guryev Victor

机构信息

Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands; Netherlands Proteomics Center, Padualaan 8, 3584 CH Utrecht, the Netherlands.

Hubrecht Institute-KNAW & University Medical Center Utrecht, Uppsalalaan 8, 3584 CT Utrecht, the Netherlands.

出版信息

Cell Rep. 2013 Dec 12;5(5):1469-78. doi: 10.1016/j.celrep.2013.10.041. Epub 2013 Nov 27.

Abstract

Quantitative and qualitative protein characteristics are regulated at genomic, transcriptomic, and posttranscriptional levels. Here, we integrated in-depth transcriptome and proteome analyses of liver tissues from two rat strains to unravel the interactions within and between these layers. We obtained peptide evidence for 26,463 rat liver proteins. We validated 1,195 gene predictions, 83 splice events, 126 proteins with nonsynonymous variants, and 20 isoforms with nonsynonymous RNA editing. Quantitative RNA sequencing and proteomics data correlate highly between strains but poorly among each other, indicating extensive nongenetic regulation. Our multilevel analysis identified a genomic variant in the promoter of the most differentially expressed gene Cyp17a1, a previously reported top hit in genome-wide association studies for human hypertension, as a potential contributor to the hypertension phenotype in SHR rats. These results demonstrate the power of and need for integrative analysis for understanding genetic control of molecular dynamics and phenotypic diversity in a system-wide manner.

摘要

蛋白质的定量和定性特征在基因组、转录组和转录后水平受到调控。在此,我们整合了对两种大鼠品系肝脏组织的深入转录组和蛋白质组分析,以揭示这些层面内部以及它们之间的相互作用。我们获得了26463种大鼠肝脏蛋白质的肽段证据。我们验证了1195个基因预测、83个剪接事件、126个具有非同义变异的蛋白质以及20个具有非同义RNA编辑的异构体。定量RNA测序和蛋白质组学数据在品系间高度相关,但彼此之间相关性较差,表明存在广泛的非遗传调控。我们的多层面分析确定了差异表达最显著的基因Cyp17a1启动子中的一个基因组变异,该基因在人类高血压全基因组关联研究中是先前报道的首要靶点,它可能是SHR大鼠高血压表型的一个促成因素。这些结果证明了以系统方式理解分子动力学和表型多样性的遗传控制时,整合分析的强大作用和必要性。

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