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从网络角度揭示哺乳动物线粒体磷酸化组动态变化。

Unraveling the phosphoproteome dynamics in mammal mitochondria from a network perspective.

机构信息

QOPNA, Department of Chemistry, University of Aveiro , 3810-193 Aveiro, Portugal.

出版信息

J Proteome Res. 2013 Oct 4;12(10):4257-67. doi: 10.1021/pr4003917. Epub 2013 Sep 6.

Abstract

With mitochondrion garnering more attention for its inextricable involvement in pathophysiological conditions, it seems imperative to understand the means by which the molecular pathways harbored in this organelle are regulated. Protein phosphorylation has been considered a central event in cellular signaling and, more recently, in the modulation of mitochondrial activity. Efforts have been made to understand the molecular mechanisms by which protein phosphorylation regulates mitochondrial signaling. With the advances in mass-spectrometry-based proteomics, there is a substantial hope and expectation in the increased knowledge of protein phosphorylation profile and its mode of regulation. On the basis of phosphorylation profiles, attempts have been made to disclose the kinases involved and how they control the molecular processes in mitochondria and, consequently, the cellular outcomes. Still, few studies have focused on mitochondrial phosphoproteome profiling, particularly in diseases. The present study reviews current data on protein phosphorylation profiling in mitochondria, the potential kinases involved and how pathophysiological conditions modulate the mitochondrial phosphoproteome. To integrate data from distinct research papers, we performed network analysis, with bioinformatic tools like Cytoscape, String, and PANTHER taking into consideration variables such as tissue specificity, biological processes, molecular functions, and pathophysiological conditions. For instance, data retrieved from these analyses evidence some homology in the mitochondrial phosphoproteome among liver and heart, with proteins from transport and oxidative phosphorylation clusters particularly susceptible to phosphorylation. A distinct profile was noticed for adipocytes, with proteins form metabolic processes, namely, triglycerides metabolism, as the main targets of phosphorylation. Regarding disease conditions, more phosphorylated proteins were observed in diabetics with some distinct phosphoproteins identified in type 2 prediabetic states and early type 2 diabetes mellitus. Heart-failure-related phosphorylated proteins are in much lower amount and are mainly involved in transport and metabolism. Nevertheless, technical considerations related to mitochondria isolation and protein separation should be considered in data comparison among different proteomic studies. Data from the present review will certainly open new perspectives of protein phosphorylation in mitochondria and will help to envisage future studies targeting the underlying regulatory mechanisms.

摘要

由于线粒体在病理生理条件中所涉及的不可分割的作用而备受关注,因此,了解该细胞器中所包含的分子途径是如何调节的,似乎是当务之急。蛋白质磷酸化已被认为是细胞信号转导的核心事件,最近,也被认为是调节线粒体活性的核心事件。人们已经努力了解蛋白质磷酸化调节线粒体信号转导的分子机制。随着基于质谱的蛋白质组学的进步,人们对增加蛋白质磷酸化谱及其调节方式的知识有了很大的希望和期望。根据磷酸化谱,可以尝试揭示涉及的激酶以及它们如何控制线粒体中的分子过程,从而控制细胞的结果。然而,很少有研究集中在线粒体磷酸蛋白质组学分析上,特别是在疾病方面。本研究综述了目前关于线粒体蛋白质磷酸化谱、潜在激酶及其参与方式以及病理生理条件如何调节线粒体磷酸蛋白质组学的研究数据。为了整合来自不同研究论文的数据,我们使用 Cytoscape、String 和 PANTHER 等生物信息学工具进行了网络分析,考虑了组织特异性、生物学过程、分子功能和病理生理条件等变量。例如,从这些分析中获取的数据表明,肝脏和心脏中的线粒体磷酸蛋白质组存在一定程度的同源性,运输和氧化磷酸化簇中的蛋白质特别容易发生磷酸化。脂肪细胞中则存在不同的磷酸蛋白质组,代谢过程中的蛋白质,即甘油三酯代谢,是磷酸化的主要靶点。关于疾病条件,糖尿病患者中观察到更多的磷酸化蛋白质,在 2 型糖尿病前期和早期 2 型糖尿病患者中也发现了一些不同的磷酸蛋白质。与心力衰竭相关的磷酸化蛋白质数量较少,主要参与运输和代谢。然而,在不同蛋白质组学研究之间进行数据比较时,应考虑与线粒体分离和蛋白质分离相关的技术考虑因素。本综述中的数据将为线粒体中蛋白质磷酸化提供新的视角,并有助于设想针对潜在调节机制的未来研究。

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