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dc.contributor.authorYu, Chih-Chieh Jay
dc.contributor.authorBarry, Nicholas C
dc.contributor.authorWassie, Asmamaw T
dc.contributor.authorSinha, Anubhav
dc.contributor.authorBhattacharya, Abhishek
dc.contributor.authorAsano, Shoh
dc.contributor.authorZhang, Chi
dc.contributor.authorChen, Fei
dc.contributor.authorHobert, Oliver
dc.contributor.authorGoodman, Miriam B
dc.contributor.authorHaspel, Gal
dc.contributor.authorBoyden, Edward S
dc.date.accessioned2021-10-27T20:30:19Z
dc.date.available2021-10-27T20:30:19Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/136002
dc.description.abstract© Yu et al. We recently developed expansion microscopy (ExM), which achieves nanoscale-precise imaging of specimens at ~70 nm resolution (with ~4.5x linear expansion) by isotropic swelling of chemically processed, hydrogel-embedded tissue. ExM of C. elegans is challenged by its cuticle, which is stiff and impermeable to antibodies. Here we present a strategy, expansion of C. elegans (ExCel), to expand fixed, intact C. elegans. ExCel enables simultaneous readout of fluorescent proteins, RNA, DNA location, and anatomical structures at resolutions of ~65–75 nm (3.3–3.8x linear expansion). We also developed epitope-preserving ExCel, which enables imaging of endogenous proteins stained by antibodies, and iterative ExCel, which enables imaging of fluorescent proteins after 20x linear expansion. We demonstrate the utility of the ExCel toolbox for mapping synaptic proteins, for identifying previously unreported proteins at cell junctions, and for gene expression analysis in multiple individual neurons of the same animal.
dc.language.isoen
dc.publishereLife Sciences Publications, Ltd
dc.relation.isversionof10.7554/ELIFE.46249
dc.rightsCreative Commons Attribution 4.0 International license
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceeLife
dc.titleExpansion microscopy of C. elegans
dc.typeArticle
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineering
dc.contributor.departmentMassachusetts Institute of Technology. Media Laboratory
dc.contributor.departmentMcGovern Institute for Brain Research at MIT
dc.contributor.departmentHarvard University--MIT Division of Health Sciences and Technology
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MIT
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.relation.journaleLife
dc.eprint.versionFinal published version
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2021-03-23T18:42:37Z
dspace.orderedauthorsYu, C-CJ; Barry, NC; Wassie, AT; Sinha, A; Bhattacharya, A; Asano, S; Zhang, C; Chen, F; Hobert, O; Goodman, MB; Haspel, G; Boyden, ES
dspace.date.submission2021-03-23T18:42:42Z
mit.journal.volume9
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Needed


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