Epidermal growth factor receptor cascade prioritizes the maximization of signal transduction

• Published in: Scientific reports Vol. 12; no. 1; p. 16950
• Main Authors: Kiso-Farnè, Kaori, Tsuruyama, Tatsuaki
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 10.10.2022; Nature Publishing Group; Nature Portfolio
• Subjects: 631/57/2266; 631/57/2272; Antibody microarrays; Cell signaling; Entropy; Epidermal growth factor; Epidermal Growth Factor - metabolism; Epidermal Growth Factor - pharmacology; ErbB Receptors - metabolism; Humanities and Social Sciences; multidisciplinary; Phosphorylation; Science; Science & Technology - Other Topics; Science (multidisciplinary); Short tandem repeats; Signal transduction; Signal Transduction - physiology; Skin cancer; Theoretical analysis
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-022-20663-0

Many studies have been performed to quantify cell signaling. Cell signaling molecules are phosphorylated in response to extracellular stimuli, with the phosphorylation sequence forming a signal cascade. The information gain during a signal event is given by the logarithm of the phosphorylation molecule ratio. The average information gain can be regarded as the signal transduction quantity (ST), which is identical to the Kullback–Leibler divergence (KLD), a relative entropy. We previously reported that if the total ST value in a given signal cascade is maximized, the ST rate (STR) of each signaling molecule per signal duration (min) approaches a constant value. To experimentally verify this theoretical conclusion, we measured the STR of the epidermal growth factor (EGF)-related cascade in A431 skin cancer cells following stimulation with EGF using antibody microarrays against phosphorylated signal molecules. The results were consistent with those from the theoretical analysis. Thus, signaling transduction systems may adopt a strategy that prioritizes the maximization of ST. Furthermore, signal molecules with similar STRs may form a signal cascade. In conclusion, ST and STR are promising properties for quantitative analysis of signal transduction.