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The DOI matches its Crossref record; 148 of the 148 references it cites were found in a registry or an index.

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

Open access
Morgenstern, Marcel, Peikert, Christian D., Lübbert, Philipp, Suppanz, Ida, Klemm, Cinzia, Alka, Oliver, Steiert, Conny, Naumenko, Nataliia, Schendzielorz, Alexander, Melchionda, Laura, Mühlhäuser, Wignand W.D., Knapp, Bettina, Busch, Jakob D., Stiller, Sebastian B., Dannenmaier, Stefan, Lindau, Caroline, Licheva, Mariya, Eickhorst, Christopher, Galbusera, Riccardo, Zerbes, Ralf M., Ryan, Michael T., Kraft, Claudine, Kozjak-Pavlovic, Vera, Drepper, Friedel, Dennerlein, Sven, Oeljeklaus, Silke, Pfanner, Nikolaus, Wiedemann, Nils, Warscheid, Bettina·2021·Cell Metabolism

Abstract

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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Metadata

Authors
Morgenstern, M., Peikert, C. D., Lübbert, P., Suppanz, I., Klemm, C., Alka, O., Steiert, C., Naumenko, N., Schendzielorz, A., Melchionda, L., Mühlhäuser, W. W. D., Knapp, B., Busch, J. D., Stiller, S. B., Dannenmaier, S., Lindau, C., Licheva, M., Eickhorst, C., Galbusera, R., Zerbes, R. M., Ryan, M. T., Kraft, C., Kozjak-Pavlovic, V., Drepper, F., Dennerlein, S., Oeljeklaus, S., Pfanner, N., Wiedemann, N., & Warscheid, B.
Venue
Cell Metabolism
Publisher
Elsevier BV
Published
2021-12
Volume
33
Issue
12
Pages
2464-2483.e18
ISSN
1550-4131 (ISSN-L)
OpenAlex
W3217249822
Cited by
323
References
148
FWCI
15.73
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Quantitative high-confidence human mitochondrial proteome and its dynamics in cellular context. https://app.cochat.ai/papers/10.1016/j.cmet.2021.11.001
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Morgenstern, M., Peikert, C. D., Lübbert, P., Suppanz, I., Klemm, C., Alka, O., Steiert, C., Naumenko, N., Schendzielorz, A., Melchionda, L., Mühlhäuser, W. W. D., Knapp, B., Busch, J. D., Stiller, S. B., Dannenmaier, S., Lindau, C., Licheva, M., Eickhorst, C., Galbusera, R., . . . Warscheid, B. (2021). Quantitative high-confidence human mitochondrial proteome and its dynamics in cellular context. Cell Metabolism. https://doi.org/10.1016/j.cmet.2021.11.001

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.