High-throughput imaging of neuronal activity in Caenorhabditis elegans.

Details

Serval ID
serval:BIB_F6033DEF644A
Type
Article: article from journal or magazin.
Collection
Publications
Title
High-throughput imaging of neuronal activity in Caenorhabditis elegans.
Journal
Proceedings of the National Academy of Sciences of the United States of America
Author(s)
Larsch J., Ventimiglia D., Bargmann C.I., Albrecht D.R.
ISSN
1091-6490 (Electronic)
ISSN-L
0027-8424
Publication state
Published
Issued date
05/11/2013
Peer-reviewed
Oui
Volume
110
Number
45
Pages
E4266-73
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: ppublish
Abstract
Neuronal responses to sensory inputs can vary based on genotype, development, experience, or stochastic factors. Existing neuronal recording techniques examine a single animal at a time, limiting understanding of the variability and range of potential responses. To scale up neuronal recordings, we here describe a system for simultaneous wide-field imaging of neuronal calcium activity from at least 20 Caenorhabditis elegans animals under precise microfluidic chemical stimulation. This increased experimental throughput was used to perform a systematic characterization of chemosensory neuron responses to multiple odors, odor concentrations, and temporal patterns, as well as responses to pharmacological manipulation. The system allowed recordings from sensory neurons and interneurons in freely moving animals, whose neuronal responses could be correlated with behavior. Wide-field imaging provides a tool for comprehensive circuit analysis with elevated throughput in C. elegans.
Keywords
Analysis of Variance, Animals, Caenorhabditis elegans/physiology, Calcium/metabolism, Chemoreceptor Cells/physiology, Microfluidic Analytical Techniques/methods, Microscopy, Fluorescence/methods, Neuroimaging/methods, Odorants, Stimulation, Chemical, Synaptic Transmission/physiology
Pubmed
Web of science
Open Access
Yes
Create date
23/01/2024 16:44
Last modification date
24/01/2024 8:14
Usage data