Technology Development Initiative – Paper of the Month – July 2024

@article{pmid39009835,

title = {Unlocking opioid neuropeptide dynamics with genetically encoded biosensors},

author = {Chunyang Dong and Raajaram Gowrishankar and Yihan Jin and Xinyi Jenny He and Achla Gupta and Huikun Wang and Nilüfer Sayar-Atasoy and Rodolfo J Flores and Karan Mahe and Nikki Tjahjono and Ruqiang Liang and Aaron Marley and Grace Or Mizuno and Darren K Lo and Qingtao Sun and Jennifer L Whistler and Bo Li and Ivone Gomes and Mark Von Zastrow and Hugo A Tejeda and Deniz Atasoy and Lakshmi A Devi and Michael R Bruchas and Matthew R Banghart and Lin Tian},

url = {https://pubmed.ncbi.nlm.nih.gov/39009835/},

doi = {10.1038/s41593-024-01697-1},

issn = {1546-1726},

year  = {2024},

date = {2024-07-01},

urldate = {2024-07-01},

journal = {Nat Neurosci},

abstract = {Neuropeptides are ubiquitous in the nervous system. Research into neuropeptides has been limited by a lack of experimental tools that allow for the precise dissection of their complex and diverse dynamics in a circuit-specific manner. Opioid peptides modulate pain, reward and aversion and as such have high clinical relevance. To illuminate the spatiotemporal dynamics of endogenous opioid signaling in the brain, we developed a class of genetically encoded fluorescence sensors based on kappa, delta and mu opioid receptors: κLight, δLight and µLight, respectively. We characterized the pharmacological profiles of these sensors in mammalian cells and in dissociated neurons. We used κLight to identify electrical stimulation parameters that trigger endogenous opioid release and the spatiotemporal scale of dynorphin volume transmission in brain slices. Using in vivo fiber photometry in mice, we demonstrated the utility of these sensors in detecting optogenetically driven opioid release and observed differential opioid release dynamics in response to fearful and rewarding conditions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}