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Article . 2022 . Peer-reviewed
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Article . 2022
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Copper induces cell death by targeting lipoylated TCA cycle proteins

Authors: Peter Tsvetkov; Shannon Coy; Boryana Petrova; Margaret Dreishpoon; Ana Verma; Mai Abdusamad; Jordan Rossen; +11 Authors

Copper induces cell death by targeting lipoylated TCA cycle proteins

Abstract

Copper is an essential cofactor for all organisms, and yet it becomes toxic if concentrations exceed a threshold maintained by evolutionarily conserved homeostatic mechanisms. How excess copper induces cell death, however, is unknown. Here, we show in human cells that copper-dependent, regulated cell death is distinct from known death mechanisms and is dependent on mitochondrial respiration. We show that copper-dependent death occurs by means of direct binding of copper to lipoylated components of the tricarboxylic acid (TCA) cycle. This results in lipoylated protein aggregation and subsequent iron-sulfur cluster protein loss, which leads to proteotoxic stress and ultimately cell death. These findings may explain the need for ancient copper homeostatic mechanisms.

Keywords

Iron-Sulfur Proteins, Ionophores, Lipoylation, Cell Respiration, Citric Acid Cycle, Dihydrolipoyllysine-Residue Acetyltransferase, Mitochondria, Mice, Hydrazines, Hepatolenticular Degeneration, Animals, Homeostasis, Humans, Regulated Cell Death, Copper, Metabolic Networks and Pathways

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4K
Top 0.01%
Top 0.1%
Top 0.01%
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