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An Arabidopsis lipid map reveals differences between tissues and dynamic changes throughout development
Mass spectrometry is the predominant analytical tool used in the field of plant lipidomics. However, there are many challenges associated with the mass spectrometric detection and identification of lipids because of the highly complex nature of plant lipids. Studies into lipid biosynthetic pathways,...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361726/ https://www.ncbi.nlm.nih.gov/pubmed/33866624 http://dx.doi.org/10.1111/tpj.15278 |
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author | Kehelpannala, Cheka Rupasinghe, Thusitha Pasha, Asher Esteban, Eddi Hennessy, Thomas Bradley, David Ebert, Berit Provart, Nicholas J. Roessner, Ute |
author_facet | Kehelpannala, Cheka Rupasinghe, Thusitha Pasha, Asher Esteban, Eddi Hennessy, Thomas Bradley, David Ebert, Berit Provart, Nicholas J. Roessner, Ute |
author_sort | Kehelpannala, Cheka |
collection | PubMed |
description | Mass spectrometry is the predominant analytical tool used in the field of plant lipidomics. However, there are many challenges associated with the mass spectrometric detection and identification of lipids because of the highly complex nature of plant lipids. Studies into lipid biosynthetic pathways, gene functions in lipid metabolism, lipid changes during plant growth and development, and the holistic examination of the role of plant lipids in environmental stress responses are often hindered. Here, we leveraged a robust pipeline that we previously established to extract and analyze lipid profiles of different tissues and developmental stages from the model plant Arabidopsis thaliana. We analyzed seven tissues at several different developmental stages and identified more than 200 lipids from each tissue analyzed. The data were used to create a web‐accessible in silico lipid map that has been integrated into an electronic Fluorescent Pictograph (eFP) browser. This in silico library of Arabidopsis lipids allows the visualization and exploration of the distribution and changes of lipid levels across selected developmental stages. Furthermore, it provides information on the characteristic fragments of lipids and adducts observed in the mass spectrometer and their retention times, which can be used for lipid identification. The Arabidopsis tissue lipid map can be accessed at http://bar.utoronto.ca/efp_arabidopsis_lipid/cgi‐bin/efpWeb.cgi. |
format | Online Article Text |
id | pubmed-8361726 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83617262021-08-17 An Arabidopsis lipid map reveals differences between tissues and dynamic changes throughout development Kehelpannala, Cheka Rupasinghe, Thusitha Pasha, Asher Esteban, Eddi Hennessy, Thomas Bradley, David Ebert, Berit Provart, Nicholas J. Roessner, Ute Plant J Resource Mass spectrometry is the predominant analytical tool used in the field of plant lipidomics. However, there are many challenges associated with the mass spectrometric detection and identification of lipids because of the highly complex nature of plant lipids. Studies into lipid biosynthetic pathways, gene functions in lipid metabolism, lipid changes during plant growth and development, and the holistic examination of the role of plant lipids in environmental stress responses are often hindered. Here, we leveraged a robust pipeline that we previously established to extract and analyze lipid profiles of different tissues and developmental stages from the model plant Arabidopsis thaliana. We analyzed seven tissues at several different developmental stages and identified more than 200 lipids from each tissue analyzed. The data were used to create a web‐accessible in silico lipid map that has been integrated into an electronic Fluorescent Pictograph (eFP) browser. This in silico library of Arabidopsis lipids allows the visualization and exploration of the distribution and changes of lipid levels across selected developmental stages. Furthermore, it provides information on the characteristic fragments of lipids and adducts observed in the mass spectrometer and their retention times, which can be used for lipid identification. The Arabidopsis tissue lipid map can be accessed at http://bar.utoronto.ca/efp_arabidopsis_lipid/cgi‐bin/efpWeb.cgi. John Wiley and Sons Inc. 2021-05-24 2021-07 /pmc/articles/PMC8361726/ /pubmed/33866624 http://dx.doi.org/10.1111/tpj.15278 Text en © 2021 Society for Experimental Biology and John Wiley & Sons Ltd https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Resource Kehelpannala, Cheka Rupasinghe, Thusitha Pasha, Asher Esteban, Eddi Hennessy, Thomas Bradley, David Ebert, Berit Provart, Nicholas J. Roessner, Ute An Arabidopsis lipid map reveals differences between tissues and dynamic changes throughout development |
title | An Arabidopsis lipid map reveals differences between tissues and dynamic changes throughout development |
title_full | An Arabidopsis lipid map reveals differences between tissues and dynamic changes throughout development |
title_fullStr | An Arabidopsis lipid map reveals differences between tissues and dynamic changes throughout development |
title_full_unstemmed | An Arabidopsis lipid map reveals differences between tissues and dynamic changes throughout development |
title_short | An Arabidopsis lipid map reveals differences between tissues and dynamic changes throughout development |
title_sort | arabidopsis lipid map reveals differences between tissues and dynamic changes throughout development |
topic | Resource |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8361726/ https://www.ncbi.nlm.nih.gov/pubmed/33866624 http://dx.doi.org/10.1111/tpj.15278 |
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