Imaging multi-materials tightly combined objects by applying grey relational analysis in muon tomography
In: Progress in nuclear energy: the international review journal covering all aspects of nuclear energy, Band 154, S. 104416
ISSN: 0149-1970
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In: Progress in nuclear energy: the international review journal covering all aspects of nuclear energy, Band 154, S. 104416
ISSN: 0149-1970
In: STOTEN-D-22-24809
SSRN
In: Environmental science and pollution research: ESPR, Band 30, Heft 40, S. 92651-92661
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 30, Heft 8, S. 21978-21989
ISSN: 1614-7499
In: PNAS nexus, Band 3, Heft 1
ISSN: 2752-6542
Abstract
Signaling molecules in cellular responses to foreign stimuli are described as static up- or down-concentration changes during signal transduction. This is because analytical methods for transducing molecules are much slower than the signaling events. In this study, we develop a dynamic cell model and reveal the temporal regulation of signal transduction events in response to reactive oxygen species (ROS). The model contained a set of 10 batches of redox-modified cells that mimic the temporal ROS accumulation events. Validating this dynamic cell model, we discover that cells survive early ROS attacks by activating the Nrf2/polysulfide/p62/CDK1 pathway. Nearly all signaling molecules exhibit time-dependent V-shape or inverse V-shape activation/feedback regulation dynamics in response to ROS accumulation. The results show that the dynamic cell model approach is invaluable for revealing complex signal intensity- and time-dependent cell signaling events.