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A label-free, fast and high-specificity technique for plant cell wall imaging and composition analysis
BACKGROUND: New cell wall imaging tools permit direct visualization of the molecular architecture of cell walls and provide detailed chemical information on wall polymers, which will aid efforts to use these polymers in multiple applications; however, detailed imaging and quantification of the nativ...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980347/ https://www.ncbi.nlm.nih.gov/pubmed/33741013 http://dx.doi.org/10.1186/s13007-021-00730-9 |
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author | Xu, Huimin Zhao, Yuanyuan Suo, Yuanzhen Guo, Yayu Man, Yi Jing, Yanping He, Xinqiang Lin, Jinxing |
author_facet | Xu, Huimin Zhao, Yuanyuan Suo, Yuanzhen Guo, Yayu Man, Yi Jing, Yanping He, Xinqiang Lin, Jinxing |
author_sort | Xu, Huimin |
collection | PubMed |
description | BACKGROUND: New cell wall imaging tools permit direct visualization of the molecular architecture of cell walls and provide detailed chemical information on wall polymers, which will aid efforts to use these polymers in multiple applications; however, detailed imaging and quantification of the native composition and architecture in the cell wall remains challenging. RESULTS: Here, we describe a label-free imaging technology, coherent Raman scattering (CRS) microscopy, including coherent anti-Stokes Raman scattering (CARS) microscopy and stimulated Raman scattering (SRS) microscopy, which can be used to visualize the major structures and chemical composition of plant cell walls. We outline the major steps of the procedure, including sample preparation, setting the mapping parameters, analysis of spectral data, and image generation. Applying this rapid approach will help researchers understand the highly heterogeneous structures and organization of plant cell walls. CONCLUSIONS: This method can potentially be incorporated into label-free microanalyses of plant cell wall chemical composition based on the in situ vibrations of molecules. |
format | Online Article Text |
id | pubmed-7980347 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79803472021-03-22 A label-free, fast and high-specificity technique for plant cell wall imaging and composition analysis Xu, Huimin Zhao, Yuanyuan Suo, Yuanzhen Guo, Yayu Man, Yi Jing, Yanping He, Xinqiang Lin, Jinxing Plant Methods Methodology BACKGROUND: New cell wall imaging tools permit direct visualization of the molecular architecture of cell walls and provide detailed chemical information on wall polymers, which will aid efforts to use these polymers in multiple applications; however, detailed imaging and quantification of the native composition and architecture in the cell wall remains challenging. RESULTS: Here, we describe a label-free imaging technology, coherent Raman scattering (CRS) microscopy, including coherent anti-Stokes Raman scattering (CARS) microscopy and stimulated Raman scattering (SRS) microscopy, which can be used to visualize the major structures and chemical composition of plant cell walls. We outline the major steps of the procedure, including sample preparation, setting the mapping parameters, analysis of spectral data, and image generation. Applying this rapid approach will help researchers understand the highly heterogeneous structures and organization of plant cell walls. CONCLUSIONS: This method can potentially be incorporated into label-free microanalyses of plant cell wall chemical composition based on the in situ vibrations of molecules. BioMed Central 2021-03-19 /pmc/articles/PMC7980347/ /pubmed/33741013 http://dx.doi.org/10.1186/s13007-021-00730-9 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Xu, Huimin Zhao, Yuanyuan Suo, Yuanzhen Guo, Yayu Man, Yi Jing, Yanping He, Xinqiang Lin, Jinxing A label-free, fast and high-specificity technique for plant cell wall imaging and composition analysis |
title | A label-free, fast and high-specificity technique for plant cell wall imaging and composition analysis |
title_full | A label-free, fast and high-specificity technique for plant cell wall imaging and composition analysis |
title_fullStr | A label-free, fast and high-specificity technique for plant cell wall imaging and composition analysis |
title_full_unstemmed | A label-free, fast and high-specificity technique for plant cell wall imaging and composition analysis |
title_short | A label-free, fast and high-specificity technique for plant cell wall imaging and composition analysis |
title_sort | label-free, fast and high-specificity technique for plant cell wall imaging and composition analysis |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7980347/ https://www.ncbi.nlm.nih.gov/pubmed/33741013 http://dx.doi.org/10.1186/s13007-021-00730-9 |
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