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Visualizing cellular and tissue ultrastructure using Ten-fold Robust Expansion Microscopy (TREx)
Expansion microscopy (ExM) is a powerful technique to overcome the diffraction limit of light microscopy that can be applied in both tissues and cells. In ExM, samples are embedded in a swellable polymer gel to physically expand the sample and isotropically increase resolution in x, y, and z. The ma...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8887890/ https://www.ncbi.nlm.nih.gov/pubmed/35179128 http://dx.doi.org/10.7554/eLife.73775 |
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author | Damstra, Hugo GJ Mohar, Boaz Eddison, Mark Akhmanova, Anna Kapitein, Lukas C Tillberg, Paul W |
author_facet | Damstra, Hugo GJ Mohar, Boaz Eddison, Mark Akhmanova, Anna Kapitein, Lukas C Tillberg, Paul W |
author_sort | Damstra, Hugo GJ |
collection | PubMed |
description | Expansion microscopy (ExM) is a powerful technique to overcome the diffraction limit of light microscopy that can be applied in both tissues and cells. In ExM, samples are embedded in a swellable polymer gel to physically expand the sample and isotropically increase resolution in x, y, and z. The maximum resolution increase is limited by the expansion factor of the gel, which is four-fold for the original ExM protocol. Variations on the original ExM method have been reported that allow for greater expansion factors but at the cost of ease of adoption or versatility. Here, we systematically explore the ExM recipe space and present a novel method termed Ten-fold Robust Expansion Microscopy (TREx) that, like the original ExM method, requires no specialized equipment or procedures. We demonstrate that TREx gels expand 10-fold, can be handled easily, and can be applied to both thick mouse brain tissue sections and cultured human cells enabling high-resolution subcellular imaging with a single expansion step. Furthermore, we show that TREx can provide ultrastructural context to subcellular protein localization by combining antibody-stained samples with off-the-shelf small-molecule stains for both total protein and membranes. |
format | Online Article Text |
id | pubmed-8887890 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-88878902022-03-02 Visualizing cellular and tissue ultrastructure using Ten-fold Robust Expansion Microscopy (TREx) Damstra, Hugo GJ Mohar, Boaz Eddison, Mark Akhmanova, Anna Kapitein, Lukas C Tillberg, Paul W eLife Cell Biology Expansion microscopy (ExM) is a powerful technique to overcome the diffraction limit of light microscopy that can be applied in both tissues and cells. In ExM, samples are embedded in a swellable polymer gel to physically expand the sample and isotropically increase resolution in x, y, and z. The maximum resolution increase is limited by the expansion factor of the gel, which is four-fold for the original ExM protocol. Variations on the original ExM method have been reported that allow for greater expansion factors but at the cost of ease of adoption or versatility. Here, we systematically explore the ExM recipe space and present a novel method termed Ten-fold Robust Expansion Microscopy (TREx) that, like the original ExM method, requires no specialized equipment or procedures. We demonstrate that TREx gels expand 10-fold, can be handled easily, and can be applied to both thick mouse brain tissue sections and cultured human cells enabling high-resolution subcellular imaging with a single expansion step. Furthermore, we show that TREx can provide ultrastructural context to subcellular protein localization by combining antibody-stained samples with off-the-shelf small-molecule stains for both total protein and membranes. eLife Sciences Publications, Ltd 2022-02-18 /pmc/articles/PMC8887890/ /pubmed/35179128 http://dx.doi.org/10.7554/eLife.73775 Text en © 2022, Damstra et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Cell Biology Damstra, Hugo GJ Mohar, Boaz Eddison, Mark Akhmanova, Anna Kapitein, Lukas C Tillberg, Paul W Visualizing cellular and tissue ultrastructure using Ten-fold Robust Expansion Microscopy (TREx) |
title | Visualizing cellular and tissue ultrastructure using Ten-fold Robust Expansion Microscopy (TREx) |
title_full | Visualizing cellular and tissue ultrastructure using Ten-fold Robust Expansion Microscopy (TREx) |
title_fullStr | Visualizing cellular and tissue ultrastructure using Ten-fold Robust Expansion Microscopy (TREx) |
title_full_unstemmed | Visualizing cellular and tissue ultrastructure using Ten-fold Robust Expansion Microscopy (TREx) |
title_short | Visualizing cellular and tissue ultrastructure using Ten-fold Robust Expansion Microscopy (TREx) |
title_sort | visualizing cellular and tissue ultrastructure using ten-fold robust expansion microscopy (trex) |
topic | Cell Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8887890/ https://www.ncbi.nlm.nih.gov/pubmed/35179128 http://dx.doi.org/10.7554/eLife.73775 |
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