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Arabidopsis proteome and the mass spectral assay library
Arabidopsis is an important model organism and the first plant with its genome completely sequenced. Knowledge from studying this species has either direct or indirect applications for agriculture and human health. Quantitative proteomics by data-independent acquisition mass spectrometry (SWATH/DIA-...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874543/ https://www.ncbi.nlm.nih.gov/pubmed/31757973 http://dx.doi.org/10.1038/s41597-019-0294-0 |
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author | Zhang, Huoming Liu, Pei Guo, Tiannan Zhao, Huayan Bensaddek, Dalila Aebersold, Ruedi Xiong, Liming |
author_facet | Zhang, Huoming Liu, Pei Guo, Tiannan Zhao, Huayan Bensaddek, Dalila Aebersold, Ruedi Xiong, Liming |
author_sort | Zhang, Huoming |
collection | PubMed |
description | Arabidopsis is an important model organism and the first plant with its genome completely sequenced. Knowledge from studying this species has either direct or indirect applications for agriculture and human health. Quantitative proteomics by data-independent acquisition mass spectrometry (SWATH/DIA-MS) was recently developed and is considered as a high-throughput, massively parallel targeted approach for accurate proteome quantification. In this approach, a high-quality and comprehensive spectral library is a prerequisite. Here, we generated an expression atlas of 10 organs of Arabidopsis and created a library consisting of 15,514 protein groups, 187,265 unique peptide sequences, and 278,278 precursors. The identified protein groups correspond to ~56.5% of the predicted proteome. Further proteogenomics analysis identified 28 novel proteins. We applied DIA-MS using this library to quantify the effect of abscisic acid on Arabidopsis. We were able to recover 8,793 protein groups of which 1,787 were differentially expressed. MS data are available via ProteomeXchange with identifier PXD012708 and PXD012710 for data-dependent acquisition and PXD014032 for DIA analyses. |
format | Online Article Text |
id | pubmed-6874543 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-68745432019-12-03 Arabidopsis proteome and the mass spectral assay library Zhang, Huoming Liu, Pei Guo, Tiannan Zhao, Huayan Bensaddek, Dalila Aebersold, Ruedi Xiong, Liming Sci Data Data Descriptor Arabidopsis is an important model organism and the first plant with its genome completely sequenced. Knowledge from studying this species has either direct or indirect applications for agriculture and human health. Quantitative proteomics by data-independent acquisition mass spectrometry (SWATH/DIA-MS) was recently developed and is considered as a high-throughput, massively parallel targeted approach for accurate proteome quantification. In this approach, a high-quality and comprehensive spectral library is a prerequisite. Here, we generated an expression atlas of 10 organs of Arabidopsis and created a library consisting of 15,514 protein groups, 187,265 unique peptide sequences, and 278,278 precursors. The identified protein groups correspond to ~56.5% of the predicted proteome. Further proteogenomics analysis identified 28 novel proteins. We applied DIA-MS using this library to quantify the effect of abscisic acid on Arabidopsis. We were able to recover 8,793 protein groups of which 1,787 were differentially expressed. MS data are available via ProteomeXchange with identifier PXD012708 and PXD012710 for data-dependent acquisition and PXD014032 for DIA analyses. Nature Publishing Group UK 2019-11-22 /pmc/articles/PMC6874543/ /pubmed/31757973 http://dx.doi.org/10.1038/s41597-019-0294-0 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, 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 metadata files associated with this article. |
spellingShingle | Data Descriptor Zhang, Huoming Liu, Pei Guo, Tiannan Zhao, Huayan Bensaddek, Dalila Aebersold, Ruedi Xiong, Liming Arabidopsis proteome and the mass spectral assay library |
title | Arabidopsis proteome and the mass spectral assay library |
title_full | Arabidopsis proteome and the mass spectral assay library |
title_fullStr | Arabidopsis proteome and the mass spectral assay library |
title_full_unstemmed | Arabidopsis proteome and the mass spectral assay library |
title_short | Arabidopsis proteome and the mass spectral assay library |
title_sort | arabidopsis proteome and the mass spectral assay library |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6874543/ https://www.ncbi.nlm.nih.gov/pubmed/31757973 http://dx.doi.org/10.1038/s41597-019-0294-0 |
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