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ScienceNeurosciencePeer-reviewed journal article

A toolkit of highly selective and sensitive genetically encoded neuropeptide sensors

Huan WangiD, Tongrui QianiD, Yulin ZhaoiD, Yizhou ZhuoiD, Chunling WuiD, Takuya OsakadaiD, Peng CheniD, Zijun CheniD, Huixia ReniD, Yuqi Yan, Lan Geng, Shengwei FuiD, Long MeiiD, Guochuan LiiD, Ling WuiD, Yiwen JiangiD, Weiran Qian, Li ZhangiD, Wanling PengiD, Min XuiD, Ji HuiD, Man JiangiD, Liangyi CheniD, Chao TangiD, Yingjie ZhuiD, , Yulong LiiD

PDFDOIPreprint

Abstract

Neuropeptides are key signaling molecules in the endocrine and nervous systems that regulate many critical physiological processes, including energy balance, sleep and circadian rhythms, stress, and social behaviors. Understanding the functions of neuropeptides in vivo requires the ability to monitor their dynamics with high specificity, sensitivity, and spatiotemporal resolution; however, this has been hindered by the lack of direct, sensitive and non-invasive tools. Here, we developed a series of GRAB (G protein-coupled receptor activation-based) sensors for detecting somatostatin (SST), cholecystokinin (CCK), corticotropin-releasing factor (CRF), neuropeptide Y (NPY), neurotensin (NTS), and vasoactive intestinal peptide (VIP). These fluorescent sensors utilize the corresponding GPCRs as the neuropeptide-sensing module with the insertion of a circular-permutated GFP as the optical reporter. This design detects the binding of specific neuropeptides at nanomolar concentration with a robust increase in fluorescence. We used these GRAB neuropeptide sensors to measure the spatiotemporal dynamics of endogenous SST release in isolated pancreatic islets and to detect the release of both CCK and CRF in acute brain slices. Moreover, we detect endogenous CRF release induced by stressful experiences in vivo using fiber photometry and 2-photon imaging in mice. Together, these new sensors establish a robust toolkit for studying the release, function, and regulation of neuropeptides under both physiological and pathophysiological conditions.

Citations
157
FWCI
18.61
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top 1%

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