ArticlePloS one2018
Quantitative analysis of circadian single cell oscillations in response to temperature.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Mathematical modeling of temperature-induced circadian rhythms.Frontiers in systems biology · 2024Article
- Article
- Long-term p21 and p53 dynamics regulate the frequency of mitosis events and cell cycle arrest following radiation damage.Cell death and differentiation · 2023Article
- Circadian rhythms and pancreas physiology: A review.Frontiers in endocrinology · 2022Review
- Review
- Review: Circadian clocks and rhythms in the vascular tree.Current opinion in pharmacology · 2021Review
- A saturated reaction in repressor synthesis creates a daytime dead zone in circadian clocks.PLoS computational biology · 2019Article
- Systems Biology Approaches and Precision Oral Health: A Circadian Clock Perspective.Frontiers in physiology · 2019Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Body temperature rhythms synchronize circadian oscillations in different tissues, depending on the degree of cellular coupling: the responsiveness to temperature is higher when single circadian oscillators are uncoupled. So far, the role of coupling in temperature responsiveness has only been studied in organotypic tissue slices of the central circadian pacemaker, because it has been assumed that peripheral target organs behave like uncoupled multicellular oscillators. Since recent studies indicate that some peripheral tissues may exhibit cellular coupling as well, we asked whether peripheral network dynamics also influence temperature responsiveness. Using a novel technique for long-term, high-resolution bioluminescence imaging of primary cultured cells, exposed to repeated temperature cycles, we were able to quantitatively measure period, phase, and amplitude of central (suprachiasmatic nuclei neuron dispersals) and peripheral (mouse ear fibroblasts) single cell oscillations in response to temperature. Employing temperature cycles of different lengths, and different cell densities, we found that some circadian characteristics appear cell-autonomous, e.g. period responses, while others seem to depend on the quality/degree of cellular communication, e.g. phase relationships, robustness of the oscillation, and amplitude. Overall, our findings indicate a strong dependence on the cell's ability for intercellular communication, which is not only true for neuronal pacemakers, but, importantly, also for cells in peripheral tissues. Hence, they stress the importance of comparative studies that evaluate the degree of coupling in a given tissue, before it may be used effectively as a target for meaningful circadian manipulation.
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