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

      research-article
      1 , 17 , 1 , 11 , 17 , 2 , 3 , 17 , 1 , 1 , 12 , 1 , 13 , 2 , 4 , 14 , 1 , 2 , 5 , 1 , 1 , 2 , 2 , 15 , 1 , 2 , 2 , 3 , 2 , 3 , 6 , 7 , 2 , 16 , 8 , 2 , 5 , 9 , 1 , 4 , 1 , 2 , 5 , 10 , 2 , 5 , 10 , , 1 , 5 , 10 , 18 , ∗∗
      Cell Metabolism
      Cell Press
      Mitochondria, human cells, high-confidence proteome, smORFs, copy numbers, half-lives, disease, complexome, protein translocation, respiratory chain

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          Summary

          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 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.

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          Highlights

          • Human mitochondrial high-confidence proteome with >1,100 proteins (MitoCoP)

          • Mitochondria-specific protein copy numbers and half-lives

          • Interactors of protein translocases and oxidative phosphorylation assembly factors

          • >40% of mitochondrial proteome linked to human diseases

          Abstract

          Mitochondria are crucial for cellular energy metabolism and human health. Morgenstern et al. present a high-confidence protein compendium of human mitochondria including mitochondria-specific protein copy numbers and half-lives. They identify interactors of key mitochondrial protein machineries and link >40% of the mitochondrial proteome to human diseases.

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          Most cited references155

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Gene Ontology: tool for the unification of biology

            Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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              Fiji: an open-source platform for biological-image analysis.

              Fiji is a distribution of the popular open-source software ImageJ focused on biological-image analysis. Fiji uses modern software engineering practices to combine powerful software libraries with a broad range of scripting languages to enable rapid prototyping of image-processing algorithms. Fiji facilitates the transformation of new algorithms into ImageJ plugins that can be shared with end users through an integrated update system. We propose Fiji as a platform for productive collaboration between computer science and biology research communities.
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                Author and article information

                Contributors
                Journal
                Cell Metab
                Cell Metab
                Cell Metabolism
                Cell Press
                1550-4131
                1932-7420
                07 December 2021
                07 December 2021
                : 33
                : 12
                : 2464-2483.e18
                Affiliations
                [1 ]Institute of Biology II, Biochemistry and Functional Proteomics, Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
                [2 ]Institute of Biochemistry and Molecular Biology, ZBMZ, Faculty of Medicine, University of Freiburg, 79104 Freiburg, Germany
                [3 ]Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany
                [4 ]Department of Cellular Biochemistry, University Medical Center Göttingen, 37073 Göttingen, Germany
                [5 ]CIBSS Centre for Integrative Biological Signalling Studies, University of Freiburg, 79104 Freiburg, Germany
                [6 ]Spemann Graduate School of Biology and Medicine (SGBM), University of Freiburg, Freiburg, Germany
                [7 ]Neurologic Clinic and Policlinic, Departments of Medicine, Clinical Research and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland
                [8 ]Department of Biochemistry and Molecular Biology, Monash Biomedicine Discovery Institute, Monash University, 3800 Melbourne, VIC, Australia
                [9 ]Department of Microbiology, Biocenter, University of Würzburg, 97074 Würzburg, Germany
                [10 ]BIOSS Centre for Biological Signalling Studies, University of Freiburg, 79104 Freiburg, Germany
                Author notes
                [11]

                Present address: Bioinformatics Research & Development, BioNTech SE, 55131 Mainz, Germany

                [12]

                Present address: School of Biological and Chemical Sciences, Queen Mary University of London, London, E1 4NS, UK

                [13]

                Present address: Institute for Bioinformatics and Medical Informatics, and Applied Bioinformatics, Department of Computer Science, University of Tübingen, 72076 Tübingen, Germany

                [14]

                Present address: Roche Diagnostics GmbH, 82377 Penzberg, Germany

                [15]

                Present address: F. Hoffmann-La Roche Ltd, 4303 Kaiseraugst, Switzerland

                [16]

                Present address: Roche Pharma AG, 79639 Grenzach-Wyhlen, Germany

                [17]

                These authors contributed equally

                [18]

                Lead contact

                Article
                S1550-4131(21)00529-5
                10.1016/j.cmet.2021.11.001
                8664129
                34800366
                95e89fba-f483-410b-aecb-b451b8c6e4d7
                © 2021 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 12 May 2020
                : 1 September 2021
                : 1 November 2021
                Categories
                Resource

                Cell biology
                mitochondria,human cells,high-confidence proteome,smorfs,copy numbers,half-lives,disease,complexome,protein translocation,respiratory chain

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