network clustering revealed the systemic alterations of mitochondrial protein expression网络集群揭示了系统性的线粒体蛋白表达变化.pdfVIP

network clustering revealed the systemic alterations of mitochondrial protein expression网络集群揭示了系统性的线粒体蛋白表达变化.pdf

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network clustering revealed the systemic alterations of mitochondrial protein expression网络集群揭示了系统性的线粒体蛋白表达变化

Network Clustering Revealed the Systemic Alterations of Mitochondrial Protein Expression 1. 2. 3. 4 4 1 Jouhyun Jeon , Jae Hoon Jeong , Je-Hyun Baek , Hyun-Jung Koo , Wook-Ha Park , Jae-Seong Yang , Myeong-Hee Yu3, Sanguk Kim1,5*, Youngmi Kim Pak2,4* 1 Division of Molecular and Life Science, School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, Pohang, Korea, 2 Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, Seoul, Korea, 3 Functional Proteomics Center, Korea Institute of Science and Technology, Seoul, Korea, 4 Department of Physiology, College of Medicine, Kyung Hee University, Seoul, Korea, 5 Division of ITCE engineering, Pohang University of Science and Technology, Pohang, Korea Abstract The mitochondrial protein repertoire varies depending on the cellular state. Protein component modifications caused by mitochondrial DNA (mtDNA) depletion are related to a wide range of human diseases; however, little is known about how nuclear-encoded mitochondrial proteins (mt proteome) changes under such dysfunctional states. In this study, we investigated the systemic alterations of mtDNA-depleted (r0) mitochondria by using network analysis of gene expression data. By modularizing the quantified proteomics data into protein functional networks, systemic properties of mitochondrial dysfunction were analyzed. We discovered that up-regulated and down-regulated proteins were organized into two predominant subnetworks that exhibited distinct biological processes. The down-regulated network modules are involved in typical mitochondrial functions, while up-r

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