Rate thresholds in cell signaling have functional and phenotypic consequences in non-linear time-dependent environments.
Rate thresholds in cell signaling have functional and phenotypic consequences in non-linear time-dependent environments.
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DOI:
10.3389/fcell.2023.1124874
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发表时间:
2023
影响因子:
5.5
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中科院分区:
文献类型:
--
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All cells employ signal transduction pathways to respond to physiologically relevant extracellular cytokines, stressors, nutrient levels, hormones, morphogens, and other stimuli that vary in concentration and rate in healthy and diseased states. A central unsolved fundamental question in cell signaling is whether and how cells sense and integrate information conveyed by changes in the rate of extracellular stimuli concentrations, in addition to the absolute difference in concentration. We propose that different environmental changes over time influence cell behavior in addition to different signaling molecules or different genetic backgrounds. However, most current biomedical research focuses on acute environmental changes and does not consider how cells respond to environments that change slowly over time. As an example of such environmental change, we review cell sensitivity to environmental rate changes, including the novel mechanism of rate threshold. A rate threshold is defined as a threshold in the rate of change in the environment in which a rate value below the threshold does not activate signaling and a rate value above the threshold leads to signal activation. We reviewed p38/Hog1 osmotic stress signaling in yeast, chemotaxis and stress response in bacteria, cyclic adenosine monophosphate signaling in Amoebae, growth factors signaling in mammalian cells, morphogen dynamics during development, temporal dynamics of glucose and insulin signaling, and spatio-temproral stressors in the kidney. These reviewed examples from the literature indicate that rate thresholds are widespread and an underappreciated fundamental property of cell signaling. Finally, by studying cells in non-linear environments, we outline future directions to understand cell physiology better in normal and pathophysiological conditions.
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影响因子:
8
作者:
Artemenko, Yulia;Lampert, Thomas J.;Devreotes, Peter N.
通讯作者:
Devreotes, Peter N.
影响因子:
7.7
作者:
BRATUSCHMARRAIN, PR;KOMJATI, M;WALDHAUSL, WK
通讯作者:
WALDHAUSL, WK
影响因子:
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作者:
Fujita, Kazuhiro A.;Toyoshima, Yu;Kuroda, Shinya
通讯作者:
Kuroda, Shinya
DOI:
10.2215/cjn.08750812
发表时间:
2014-10-01
影响因子:
9.8
作者:
Dantzler, William H.;Layton, Anita T.;Pannabecker, Thomas L.
通讯作者:
Pannabecker, Thomas L.
影响因子:
5.8
作者:
Jashnsaz H;Fox ZR;Hughes JJ;Li G;Munsky B;Neuert G
通讯作者:
Neuert G