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How do changes in the concentration of signaling molecules affect the stochastic behavior of cellular processes? 


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Changes in the concentration of signaling molecules can significantly impact the stochastic behavior of cellular processes. The presence of molecular noise in signaling networks can lead to deviant effects, altering the average behavior of biological systems . Additionally, fluctuations in the concentration of active signaling molecules due to deactivation processes during signal transduction can introduce spatio-temporal variations, especially in asymmetric cellular architectures . Stochastic fluctuations in cellular reactions, particularly in small systems like cells, can generate fluctuations in the number of molecules, affecting signal amplification and accuracy in cellular processes such as chemotaxis . Furthermore, the stochastic nature of biochemical processes in whole-cell biochips can result in a low signal-to-noise ratio, impacting the detectability of signals and leading to relatively large noise disturbances during information extraction from cells .

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Changes in signaling molecule concentrations lead to spatio-temporal fluctuations in cellular processes due to deactivation and transport, affecting stochastic behavior in signal transduction simulations.
Changes in signaling molecule concentrations impact stochastic fluctuations in cellular processes, influencing signal amplification and accuracy, as observed in chemotactic signal processing in eukaryotic cells like Dictyostelium.
Changes in signaling molecule concentrations impact cellular stochasticity by transitioning from deterministic differential equations to probabilistic descriptions, crucial for small molecule numbers and random order reactions.
Changes in signaling molecule concentrations impact stochastic behavior by influencing noise amplitudes in biochemical cascades. The noise is mainly determined by initial reactions rather than cascade length.
Changes in signaling molecule concentrations can lead to stochastic effects, altering cellular information processing by introducing deviant effects in signaling networks, impacting overall system behavior.

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