- Main
Unlocking opioid neuropeptide dynamics with genetically encoded biosensors
- Dong, Chunyang;
- Gowrishankar, Raajaram;
- Jin, Yihan;
- He, Xinyi Jenny;
- Gupta, Achla;
- Wang, Huikun;
- Sayar-Atasoy, Nilüfer;
- Flores, Rodolfo J;
- Mahe, Karan;
- Tjahjono, Nikki;
- Liang, Ruqiang;
- Marley, Aaron;
- Or Mizuno, Grace;
- Lo, Darren K;
- Sun, Qingtao;
- Whistler, Jennifer L;
- Li, Bo;
- Gomes, Ivone;
- Von Zastrow, Mark;
- Tejeda, Hugo A;
- Atasoy, Deniz;
- Devi, Lakshmi A;
- Bruchas, Michael R;
- Banghart, Matthew R;
- Tian, Lin
- et al.
Published Web Location
https://doi.org/10.1038/s41593-024-01697-1Abstract
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.
Many UC-authored scholarly publications are freely available on this site because of the UC's open access policies. Let us know how this access is important for you.
Main Content
Enter the password to open this PDF file:
-
-
-
-
-
-
-
-
-
-
-
-
-
-