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Quantitative high-confidence human mitochondrial proteome and its dynamics in cellular context

Please always quote using this URN: urn:nbn:de:bvb:20-opus-371114
  • Mitochondria are key organelles for cellular energetics, metabolism, signaling, and quality control and have been linked to various diseases. Different views exist on the composition of the human mitochondrial proteome. We classified >8,000 proteins in mitochondrial preparations of human cells and defined a mitochondrial high-confidence proteome of >1,100 proteins (MitoCoP). We identified interactors of translocases, respiratory chain, and ATP synthase assembly factors. The abundance of MitoCoP proteins covers six orders of magnitude andMitochondria are key organelles for cellular energetics, metabolism, signaling, and quality control and have been linked to various diseases. Different views exist on the composition of the human mitochondrial proteome. We classified >8,000 proteins in mitochondrial preparations of human cells and defined a mitochondrial high-confidence proteome of >1,100 proteins (MitoCoP). We identified interactors of translocases, respiratory chain, and ATP synthase assembly factors. The abundance of MitoCoP proteins covers six orders of magnitude and amounts to 7% of the cellular proteome with the chaperones HSP60-HSP10 being the most abundant mitochondrial proteins. MitoCoP dynamics spans three orders of magnitudes, with half-lives from hours to months, and suggests a rapid regulation of biosynthesis and assembly processes. 460 MitoCoP genes are linked to human diseases with a strong prevalence for the central nervous system and metabolism. MitoCoP will provide a high-confidence resource for placing dynamics, functions, and dysfunctions of mitochondria into the cellular context.show moreshow less

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Author: Marcel Morgenstern, Christian D. Peikert, Philipp Lübbert, Ida Suppanz, Cinzia Klemm, Oliver Alka, Conny Steiert, Nataliia Naumenko, Alexander Schendzielorz, Laura Melchionda, Wignand W. D. Mühlhäuser, Bettina Knapp, Jakob D. Busch, Sebastian B. Stiller, Stefan Dannenmaier, Caroline Lindau, Mariya Licheva, Christopher Eickhorst, Riccardo Galbusera, Ralf M. Zerbes, Michael T. Ryan, Claudine Kraft, Vera Kozjak-Pavlovic, Friedel Drepper, Sven Dennerlein, Silke Oeljeklaus, Nikolaus Pfanner, Nils Wiedemann, Bettina Warscheid
URN:urn:nbn:de:bvb:20-opus-371114
Document Type:Journal article
Faculties:Fakultät für Biologie / Theodor-Boveri-Institut für Biowissenschaften
Language:English
Parent Title (English):Cell Metabolism
Year of Completion:2021
Volume:33
Pagenumber:2464-2483
Source:Cell Metabolism (2021) 33:2464-2483. https://doi.org/10.1016/j.cmet.2021.11.001
DOI:https://doi.org/10.1016/j.cmet.2021.11.001
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 57 Biowissenschaften; Biologie / 570 Biowissenschaften; Biologie
Tag:complexome; copy numbers; disease; half-lives; high-confidence proteome; human cells; mitochondria; protein translocation; respiratory chain; smORFs
Release Date:2024/09/19
EU-Project number / Contract (GA) number:648235
EU-Project number / Contract (GA) number:769065
EU-Project number / Contract (GA) number:812968
OpenAIRE:OpenAIRE
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung 4.0 International