Helena Braunstein, Alejandra C Ventura, Alejandro Colman-Lerner
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引用次数: 0
Abstract
Glutamate mediates fast excitatory neurotransmission through α-amino-3-hydroxy-5-methyl-4-isoxazole propionic acid (AMPA)-type glutamate receptors in the central nervous system. Although it is well known that the glutamate affinity for AMPA receptors is submicromolar, ligand-dependent currents are observed only at submillimolar glutamate concentrations, suggesting a non-equilibrium mechanism of dose-dependent signaling. Here, we developed a mathematical model that leverages published reaction rates to demonstrate that AMPA receptors operate within a pre-equilibrium sensing and signaling (PRESS) regime. By functioning before equilibrium binding, AMPARs exploit a transient dynamic range at high ligand concentrations. Our model reveals that fast desensitization is a key transition enabling this PRESS mechanism. Regulators of this desensitization, such as transmembrane AMPAR regulatory proteins TARP, germ cell-specific gene 1-like protein and cornichon homolog auxiliary proteins (CNIH2/3), thus modulate AMPAR dynamic range by modifying the time window in which these receptors may use pre-equilibrium information. We speculate that the use of PRESS by AMPARs helps restrict the postsynaptic area of action of this fast transmission. Other receptors with fast desensitization may also take advantage of PRESS to accurately control dose-dependent responses.
期刊介绍:
npj Systems Biology and Applications is an online Open Access journal dedicated to publishing the premier research that takes a systems-oriented approach. The journal aims to provide a forum for the presentation of articles that help define this nascent field, as well as those that apply the advances to wider fields. We encourage studies that integrate, or aid the integration of, data, analyses and insight from molecules to organisms and broader systems. Important areas of interest include not only fundamental biological systems and drug discovery, but also applications to health, medical practice and implementation, big data, biotechnology, food science, human behaviour, broader biological systems and industrial applications of systems biology.
We encourage all approaches, including network biology, application of control theory to biological systems, computational modelling and analysis, comprehensive and/or high-content measurements, theoretical, analytical and computational studies of system-level properties of biological systems and computational/software/data platforms enabling such studies.