Nature CommunicationsCell BiologyPeer-reviewed journal article
Potassium rhythms couple the circadian clock to the cell cycle
Sergio Gil Rodríguez, Louise L. HanseniD, Olivia J. P. Fraser, Yen Peng ChewiD, Rebecca K. SpangleriD, Ellen Grünewald, Andrew D. BealeiD, Beverley M. RabbittsiD, Alessandra StangherliniD, John Stuart O'NeilliD, Carrie L. PartchiD, Priya CrosbyiD, Gerben van OoijeniD
Abstract
Circadian ([~]24 h) rhythms are a fundamental feature of life, and their disruption increases the risk of infectious diseases, metabolic disorders, and cancer1-6. Circadian rhythms couple to the cell cycle across eukaryotes7,8 but the underlying mechanism is unknown. We previously identified an evolutionarily conserved circadian oscillation in intracellular potassium concentration, [K+]i9,10. As critical events in the cell cycle are regulated by intracellular potassium11,12, an enticing hypothesis is that circadian rhythms in [K+]i form the basis of this coupling. We used a minimal model cell, the alga Ostreococcus tauri, to uncover the role of potassium in linking these two cycles. We found direct reciprocal feedback between [K+]i and circadian gene expression. Inhibition of proliferation by manipulating potassium rhythms was dependent on the phase of the circadian cycle. Furthermore, we observed a total inhibition of cell proliferation when circadian gene expression is inhibited. Strikingly, under these conditions a sudden enforced gradient of extracellular potassium was sufficient to induce a round of cell division. Finally, we provide evidence that interactions between potassium and circadian rhythms also influence proliferation in mammalian cells. These results establish circadian regulation of intracellular potassium levels as a primary factor coupling the cell- and circadian cycles across diverse organisms.
- organism: human
- organism: mouse
- organism: zebrafish
- assay: bulk RNA-seq
- assay: metabolomics
- research focus: cell type annotation
- research focus: differential expression
- research focus: cell signaling & trafficking
- approach: experimental assay
- approach: statistical model
- Citations
- 6
- FWCI
- 4.53
- Field percentile
- top 9%
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