Giorgianni Francesco, Koirala Diwa, Weber Karl T, Beranova-Giorgianni Sarka
Department of Pharmaceutical Sciences, the University of Tennessee Health Science Center, Memphis, TN 38163, USA.
Division of Cardiology, Department of Medicine, the University of Tennessee Health Science Center, Memphis, TN 38163, USA.
Int J Mol Sci. 2014 May 26;15(6):9285-301. doi: 10.3390/ijms15069285.
Mitochondria are complex organelles that play critical roles in diverse aspects of cellular function. Heart disease and a number of other pathologies are associated with perturbations in the molecular machinery of the mitochondria. Therefore, comprehensive, unbiased examination of the mitochondrial proteome represents a powerful approach toward system-level insights into disease mechanisms. A crucial aspect in proteomics studies is design of bioanalytical strategies that maximize coverage of the complex repertoire of mitochondrial proteins. In this study, we evaluated the performance of gel-based and gel-free multidimensional platforms for profiling of the proteome in subsarcolemmal mitochondria harvested from rat heart. We compared three different multidimensional proteome fractionation platforms: polymeric reversed-phase liquid chromatography at high pH (PLRP), sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE), and isoelectric focusing (IEF) separations combined with liquid chromatography-mass spectrometry/mass spectrometry (LC-MS/MS), and bioinformatics for protein identification. Across all three platforms, a total of 1043 proteins were identified. Among the three bioanalytical strategies, SDS-PAGE followed by LC-MS/MS provided the best coverage of the mitochondrial proteome. With this platform, 890 proteins with diverse physicochemical characteristics were identified; the mitochondrial protein panel encompassed proteins with various functional roles including bioenergetics, protein import, and mitochondrial fusion. Taken together, results of this study provide a large-scale view of the proteome in subsarcolemmal mitochondria from the rat heart, and aid in the selection of optimal bioanalytical platforms for differential protein expression profiling of mitochondria in health and disease.
线粒体是复杂的细胞器,在细胞功能的多个方面发挥着关键作用。心脏病和许多其他病理状况与线粒体分子机制的紊乱有关。因此,对线粒体蛋白质组进行全面、无偏倚的检测是深入了解疾病机制的有力方法。蛋白质组学研究的一个关键方面是设计生物分析策略,以最大限度地覆盖线粒体蛋白质的复杂组成。在本研究中,我们评估了基于凝胶和非凝胶的多维平台对从大鼠心脏采集的肌膜下线粒体蛋白质组进行分析的性能。我们比较了三种不同的多维蛋白质组分级分离平台:高pH值下的聚合物反相液相色谱(PLRP)、十二烷基硫酸钠-聚丙烯酰胺凝胶电泳(SDS-PAGE)以及等电聚焦(IEF)分离结合液相色谱-质谱/质谱(LC-MS/MS),并通过生物信息学进行蛋白质鉴定。在所有这三个平台上,总共鉴定出1043种蛋白质。在这三种生物分析策略中,SDS-PAGE结合LC-MS/MS对线粒体蛋白质组的覆盖效果最佳。利用该平台,鉴定出了890种具有不同物理化学特性的蛋白质;线粒体蛋白质组包括具有各种功能的蛋白质,如生物能量学、蛋白质导入和线粒体融合相关的蛋白质。综上所述,本研究结果提供了大鼠心脏肌膜下线粒体蛋白质组的大规模视图,并有助于选择最佳的生物分析平台,用于健康和疾病状态下线粒体差异蛋白质表达谱分析。