Genetically encoded tools for in vivo G-protein-coupled receptor agonist detection at cellular resolution.
Genetically encoded tools for in vivo G-protein-coupled receptor agonist detection at cellular resolution.
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DOI:
10.1002/ctm2.1124
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发表时间:
2022-12
影响因子:
10.6
通讯作者:
中科院分区:
文献类型:
--
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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. G‐protein‐coupled receptor (GPCR) agonist sensors utilise downstream GPCR signalling events, such as GPCR conformational changes and protein binding, to give a measurable sensor readout.
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影响因子:
46.9
作者:
Dong, Ao;He, Kaikai;Dudok, Barna;Farrell, Jordan S.;Guan, Wuqiang;Liput, Daniel J.;Puhl, Henry L.;Cai, Ruyi;Wang, Huan;Duan, Jiali;Albarran, Eddy;Ding, Jun;Lovinger, David M.;Li, Bo;Soltesz, Ivan;Li, Yulong
通讯作者:
Li, Yulong
影响因子:
16.6
作者:
Che, Tao;English, Justin;Roth, Bryan L.
通讯作者:
Roth, Bryan L.
DOI:
10.1073/pnas.0710487105
发表时间:
2008-01-08
影响因子:
11.1
作者:
Barnea, Gilad;Strapps, Walter;Lee, Kevin J.
通讯作者:
Lee, Kevin J.
影响因子:
7.7
作者:
Corre, Julie;van Zessen, Ruud;Luescher, Christian
通讯作者:
Luescher, Christian
影响因子:
7.7
作者:
Charest, PG;Terrillon, S;Bouvier, M
通讯作者:
Bouvier, M