RdLight1 sensors depicting dopamine in neurons. Credit: UC Regents
Researchers develop a wider spectrum for dLight1 sensor, allowing multiplex imaging of neurotransmitters.
In 2018, Lin Tian and her team at UC Davis Health developed dLight1, a single fluorescent protein-based biosensor. This family of highly specific sensors detects dopamine, a hormone released by neurons to send signals to other nerve cells. When combined with advanced microscopy, dLight1 provides high resolution, real-time imaging of the spatial and temporal release of dopamine in live animals.
Recently, Tian and her team succeeded in expanding the color spectrum of the dLight1 sensor. In an article published on September 7, 2020, in Nature Methods, they introduced two new spectral variants of dLight1: the yellow YdLight1 and the red RdLight1.
“The new sensors will help researchers to detect and monitor different information processing activities in the brain,” said Lin Tian, associate professor of biochemistry and molecular medicine and the lead author on the study. “With the different colors, we will be able to see multiple neurochemical releases and neural activities at the same time.”
The RdLight1 permits the simultaneous assessment of dopamine, pre- or post-synaptic neuronal activity, and the glutamate release in specific types of cells and neuronal projections in animals. Its increased light penetration and imaging depth provide enhanced dopamine signal quality. This allows researchers to optically dissect dopamine’s release and model its effects on neural circuits
As a neurotransmitter, dopamine plays an important role in movement, attention, learning, and the brain’s pleasure and reward system.
“These exciting new tools opened a new door to developing color-shifted neurochemical indicators. Together with other tools, they have great potential to unlock the mysteries of brain chemistry in health and disease,” Tian said. “The knowledge we gain from these sensors will facilitate the development of safer next-generation therapies to neuropsychiatric disorders such as depression, anxiety, schizophrenia, and addiction.”
Collaborations bring discoveries
Tian Laboratory team applied and received the MAP Program Collaboration Seed Grant. This grant, sponsored by the UC Davis Memory and Plasticity Program, supported their cross-disciplinary research with the Wiltgen Lab at UC Davis.
The team was also awarded BRAIN Initiative grants from the National Institutes of Health to fund their collaboration with Von Zastrow Lab and Berke Lab at the University of California, San Francisco. These collaborations resulted in the successful development and testing of the new spectrum of dLight1 sensors.
References:
“An expanded palette of dopamine sensors for multiplex imaging in vivo” by Tommaso Patriarchi, Ali Mohebi, Junqing Sun, Aaron Marley, Ruqiang Liang, Chunyang Dong, Kyle Puhger, Grace Or Mizuno, Carolyn M. Davis, Brian Wiltgen, Mark von Zastrow, Joshua D. Berke and Lin Tian, 7 September 2020, Nature Methods.
DOI: 10.1038/s41592-020-0936-3
“Ultrafast neuronal imaging of dopamine dynamics with designed genetically encoded sensors” by Tommaso Patriarchi, Jounhong Ryan Cho, Katharina Merten, Mark W. Howe, Aaron Marley, Wei-Hong Xiong, Robert W. Folk, Gerard Joey Broussard, Ruqiang Liang, Min Jee Jang, Haining Zhong, Daniel Dombeck, Mark von Zastrow, Axel Nimmerjahn, Viviana Gradinaru, John T. Williams and Lin Tian, 29 June 2018, Science.
DOI: 10.1126/science.aat4422
PMID: 29853555
The coauthors on this study at University of California, Davis are Tommaso Patriarchi, Junqing Sun, Ruqiang Liang, Chunyang Dong, Kyle Pugher, Grace Or Mizuno, Carolyn M. Davis and Brian Wiltgen, and at the University of California, San Francisco are Ali Mohebi, Aaron Marley Mark von Zastrow and Joshua D. Berke.
This work was supported by National Institutes of Health grant (DP2MH107056); BRAIN Initiative awards (U01NS090604, U01NS013522, U01NS103571, U01NS094375); Rita Allen Young Investigator Award and R01DA045783; Olga Mayenfisch Foundation; and Novartis Foundation for medical-biological Research.
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