4.8 Review

Genetically encoded tools for in vivo G-protein-coupled receptor agonist detection at cellular resolution

期刊

CLINICAL AND TRANSLATIONAL MEDICINE
卷 12, 期 12, 页码 -

出版社

JOHN WILEY & SONS LTD
DOI: 10.1002/ctm2.1124

关键词

genetically encoded sensor; GPCR; neuromodulation; neurotransmission

资金

  1. University of Michigan
  2. NIH [R01DA05320001A1, DP2MH132939, F31MH12915001]

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This review discusses the design and application of sensors for real-time detection of GPCR agonists in vivo, as well as methods for integrating these agonist signals into quantifiable marks. It also explores the potential of using real-time and integrator sensors together to study the spatiotemporal dynamics of GPCR agonist release.
G-protein-coupled receptors (GPCRs) are the most abundant receptor type in the human body and are responsible for regulating many physiological processes, such as sensation, cognition, muscle contraction and metabolism. Further, GPCRs are widely expressed in the brain where their agonists make up a large number of neurotransmitters and neuromodulators. Due to the importance of GPCRs in human physiology, genetically encoded sensors have been engineered to detect GPCR agonists at cellular resolution in vivo. These sensors can be placed into two main categories: those that offer real-time information on the signalling dynamics of GPCR agonists and those that integrate the GPCR agonist signal into a permanent, quantifiable mark that can be used to detect GPCR agonist localisation in a large brain area. In this review, we discuss the various designs of real-time and integration sensors, their advantages and limitations, and some in vivo applications. We also discuss the potential of using real-time and integrator sensors together to identify neuronal circuits affected by endogenous GPCR agonists and perform detailed characterisations of the spatiotemporal dynamics of GPCR agonist release in those circuits. By using these sensors together, the overall knowledge of GPCR-mediated signalling can be expanded.

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