title: Spatial and functional organization of mitochondrial protein network.
abstract: Characterizing the spatial organization of the human mitochondrial proteome will enhance our understanding of mitochondrial functions at the molecular level and provide key insight into protein-disease associations. However, the sub-organellar location and possible association with mitochondrial diseases are not annotated for most mitochondrial proteins. Here, we characterized the functional and spatial organization of mitochondrial proteins by assessing their position in the Mitochondrial Protein Functional (MPF) network. Network position was assigned to the MPF network and facilitated the determination of sub-organellar location and functional organization of mitochondrial proteins. Moreover, network position successfully identified candidate disease genes of several mitochondrial disorders. Thus, our data support the use of network position as a novel method to explore the molecular function and pathogenesis of mitochondrial proteins.
authors: School of Interdisciplinary Bioscience and Bioengineering, Pohang University of Science and Technology, San 31, Hyoja-dong, Nam-gu, Pohang, Gyeongbuk, Korea, 790-784.
authors: Jae-Seong
authors: JS
authors: Yang
authors: Jinho
authors: J
authors: Kim
authors: Solip
authors: S
authors: Park
authors: Jouhyun
authors: J
authors: Jeon
authors: Young-Eun
authors: YE
authors: Shin
authors: Sanguk
authors: S
authors: Kim
mesh_terms: D019295:Computational Biology; D030562:Databases, Protein; D006801:Humans; D008928:Mitochondria / Q000235:genetics / Q000378:metabolism*; D028361:Mitochondrial Diseases / Q000235:genetics / Q000378:metabolism; D024101:Mitochondrial Proteins / Q000235:genetics / Q000378:metabolism*; D058977:Molecular Sequence Annotation; D025941:Protein Interaction Mapping; D060066:Protein Interaction Maps; D021381:Protein Transport; D020543:Proteome
chemical_list: D024101:Mitochondrial Proteins; D020543:Proteome