Nature CommunicationsGenomicsPeer-reviewed journal article
Mitochondrial membrane potential regulates nuclear DNA methylation and gene expression through phospholipid remodeling
Mateus Prates MoriiD, Oswaldo A. LozoyaiD, Ashley M. BrooksiD, Carl D. BortneriD, Cristina Antonella NadaluttiiD, Birgitta A. RybackiD, Brittany P. RickardiD, Marta OverchukiD, Imran RizviiD, Tatiana P. RogasevskaiaiD, Kai Ting Huang, Prottoy HasaniD, György HajnóczkyiD, Janine Hertzog SantosiD
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Abstract
Maintenance of the mitochondrial inner membrane potential ({Delta}{Psi}M) is critical for many aspects of mitochondrial function, including mitochondrial protein import and ion homeostasis. While {Delta}{Psi}M loss and its consequences are well studied, little is known about the effects of increased {Delta}{Psi}M. In this study, we used cells deleted of ATPIF1, a natural inhibitor of the hydrolytic activity of the ATP synthase, as a genetic model of mitochondrial hyperpolarization. Our data show that chronic {Delta}{Psi}M increase leads to nuclear DNA hypermethylation, regulating transcription of mitochondria, carbohydrate and lipid metabolism genes. Surprisingly, remodeling of phospholipids, but not metabolites or redox changes, mechanistically links the {Delta}{Psi}M to the epigenome. These changes were also observed upon chemical exposures and reversed by decreasing the {Delta}{Psi}M, highlighting them as hallmark adaptations to chronic mitochondrial hyperpolarization. Our results reveal the {Delta}{Psi}M as the upstream signal conveying the mitochondrial status to the epigenome to regulate cellular biology, providing a new framework for how mitochondria can influence health outcomes in the absence of canonical dysfunction. HighlightsO_LIMitochondria hyperpolarization leads to nuclear DNA hypermethylation C_LIO_LIDNA methylation regulates expression of mitochondrial and lipid metabolism genes C_LIO_LIPhospholipid remodeling mediates the epigenetic effects of mitochondrial hyperpolarization C_LI
- organism: human
- assay: DNA methylation
- assay: metabolomics
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: experimental assay
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