ExCel: Super-Resolution Imaging of C. elegans with Expansion Microscopy
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20.11.yu.pdf
Description
Accepted version
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3.87 MB
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Checksum (MD5)
04cb57178a185e7a33007c3330210eff
Author(s)
Yu, Chih-Chieh
Orozco Cosio, Danielle M
Boyden, Edward S
Date Issued
2022
Journal
Methods Mol Biol
Publisher
Springer US
Citation
Yu, Chih-Chieh, Orozco Cosio, Danielle M and Boyden, Edward S. 2022. "ExCel: Super-Resolution Imaging of C. elegans with Expansion Microscopy." Methods Mol Biol, 2468.
Version
Author's final manuscript
Abstract
Studies of C. elegans will benefit from a powerful method for super-resolution imaging of proteins and mRNAs at any 3-D locations throughout the entire animal. Conventional methods of super-resolution imaging in C. elegans, such as STORM, PALM, SR-SIM and STED, are limited by imaging depths that are insufficient to map the entire depth of adult worms, and involve hardware that may not be accessible to all labs. We recently developed expansion of C. elegans (ExCel), a method for physically magnifying fixed whole animals of C. elegans with high isotropy, which provides effective resolutions finer than the diffraction limit, across the entire animal, on conventional confocal microscopes. In this chapter, we present a family of three detailed ExCel protocols. The standard ExCel protocol features simultaneous readout of diverse molecules (fluorescent proteins, RNA, DNA, and general anatomy), all at ~70 nm resolution (~3.5× linear expansion). The epitope-preserving ExCel protocol enables imaging of endogenous proteins with off-the-shelf antibodies, at a ~ 100 nm resolution (~2.8× linear expansion). The iterative ExCel protocol allows readout of fluorescent proteins at ~25 nm resolution (~20× linear expansion). The protocols described here comprise a versatile toolbox for super-resolution imaging of C. elegans.
MIT Department
McGovern Institute for Brain Research at MIT
Koch Institute for Integrative Cancer Research at MIT
Massachusetts Institute of Technology. Department of Biological Engineering
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Howard Hughes Medical Institute
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Massachusetts Institute of Technology. Center for Extreme Bionics
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DOI of Published Version
https://doi.org/10.1007/978-1-0716-2181-3_9
