Fluorescence Imaging of Neural Activity, Neurochemical Dynamics, and Drug-Specific Receptor Conformation with Genetically Encoded Sensors
Year: 2022
Type: review
Abstract: Recent advances in fluorescence imaging permit large-scale recording of neural activity and dynamics of neurochemical release with unprecedented resolution in behaving animals. Calcium imaging with highly optimized genetically encoded indicators provides a mesoscopic view of neural activity from genetically defined populations at cellular and subcellular resolutions. Rigorously improved voltage sensors and microscopy allow for robust spike imaging of populational neurons in various brain regions. In addition, recent protein engineering efforts in the past few years have led to the development of sensors for neurotransmitters and neuromodulators. Here, we discuss the development and applications of these genetically encoded fluorescent indicators in reporting neural activity in response to various behaviors in different biological systems as well as in drug discovery. We also report a simple model to guide sensor selection and optimization.
Source: Annual Review of Neuroscience
Authors: Chunyang Dong, Yu Zheng, Kiran Long-Iyer, Emily C. Wright, Yulong Li, Lin Tian
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: bronze
Awards: The central amygdala circuits in motivated behaviors, G5228164454, Engineered AAV Identification, Validation, and Dissemination Pipeline for Brain Cell Type-Specific Manipulation Across Species, Multiplex interrogation of neuromodulatory signaling in behaving animals with enhanced depth and resolution, Development of multi-color, bright chemigenetic indicators to image synaptic transmission, Next generation all-optical toolkits for functional analysis of neuropeptide dynamics in neural circuits, Learning, Memory, and Plasticity (LaMP) Training Program, Genetically-Encoded, Non-Invasive and Wireless Modulation of Calcium Dynamics in Astrocytes With Spatiotemporal Precision and Depth
OpenAlex ID: W4220839458
