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Nuclear RNA purification by flow cytometry to study nuclear processes in plants
The nature of plant tissues has continuously hampered understanding of the spatio-temporal and subcellular distribution of RNA-guided processes. Here, we describe a universal protocol based on Arabidopsis to investigate subcellular RNA distribution from virtually any plant species using flow cytomet...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890302/ https://www.ncbi.nlm.nih.gov/pubmed/33659901 http://dx.doi.org/10.1016/j.xpro.2021.100320 |
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author | Moro, Belén Kisielow, Malgorzata Borrero, Veronica Barragan Bouet, Antoine Brosnan, Christopher A. Bologna, Nicolás G. |
author_facet | Moro, Belén Kisielow, Malgorzata Borrero, Veronica Barragan Bouet, Antoine Brosnan, Christopher A. Bologna, Nicolás G. |
author_sort | Moro, Belén |
collection | PubMed |
description | The nature of plant tissues has continuously hampered understanding of the spatio-temporal and subcellular distribution of RNA-guided processes. Here, we describe a universal protocol based on Arabidopsis to investigate subcellular RNA distribution from virtually any plant species using flow cytometry sorting. This protocol includes all necessary control steps to assess the quality of the nuclear RNA purification. Moreover, it can be easily applied to different plant developmental stages, tissues, cell cycle phases, experimental growth conditions, and specific cell type(s). For complete information on the use and execution of this protocol, please refer to Bologna et al. (2018) and de Leone et al. (2020). |
format | Online Article Text |
id | pubmed-7890302 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-78903022021-03-02 Nuclear RNA purification by flow cytometry to study nuclear processes in plants Moro, Belén Kisielow, Malgorzata Borrero, Veronica Barragan Bouet, Antoine Brosnan, Christopher A. Bologna, Nicolás G. STAR Protoc Protocol The nature of plant tissues has continuously hampered understanding of the spatio-temporal and subcellular distribution of RNA-guided processes. Here, we describe a universal protocol based on Arabidopsis to investigate subcellular RNA distribution from virtually any plant species using flow cytometry sorting. This protocol includes all necessary control steps to assess the quality of the nuclear RNA purification. Moreover, it can be easily applied to different plant developmental stages, tissues, cell cycle phases, experimental growth conditions, and specific cell type(s). For complete information on the use and execution of this protocol, please refer to Bologna et al. (2018) and de Leone et al. (2020). Elsevier 2021-02-12 /pmc/articles/PMC7890302/ /pubmed/33659901 http://dx.doi.org/10.1016/j.xpro.2021.100320 Text en © 2021 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Moro, Belén Kisielow, Malgorzata Borrero, Veronica Barragan Bouet, Antoine Brosnan, Christopher A. Bologna, Nicolás G. Nuclear RNA purification by flow cytometry to study nuclear processes in plants |
title | Nuclear RNA purification by flow cytometry to study nuclear processes in plants |
title_full | Nuclear RNA purification by flow cytometry to study nuclear processes in plants |
title_fullStr | Nuclear RNA purification by flow cytometry to study nuclear processes in plants |
title_full_unstemmed | Nuclear RNA purification by flow cytometry to study nuclear processes in plants |
title_short | Nuclear RNA purification by flow cytometry to study nuclear processes in plants |
title_sort | nuclear rna purification by flow cytometry to study nuclear processes in plants |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7890302/ https://www.ncbi.nlm.nih.gov/pubmed/33659901 http://dx.doi.org/10.1016/j.xpro.2021.100320 |
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