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Generation of a zebrafish SWATH-MS spectral library to quantify 10,000 proteins
Sequential window acquisition of all theoretical mass spectra (SWATH-MS) requires a spectral library to extract quantitative measurements from the mass spectrometry data acquired in data-independent acquisition mode (DIA). Large combined spectral libraries containing SWATH assays have been generated...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371892/ https://www.ncbi.nlm.nih.gov/pubmed/30747917 http://dx.doi.org/10.1038/sdata.2019.11 |
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author | Blattmann, Peter Stutz, Vivienne Lizzo, Giulia Richard, Joy Gut, Philipp Aebersold, Ruedi |
author_facet | Blattmann, Peter Stutz, Vivienne Lizzo, Giulia Richard, Joy Gut, Philipp Aebersold, Ruedi |
author_sort | Blattmann, Peter |
collection | PubMed |
description | Sequential window acquisition of all theoretical mass spectra (SWATH-MS) requires a spectral library to extract quantitative measurements from the mass spectrometry data acquired in data-independent acquisition mode (DIA). Large combined spectral libraries containing SWATH assays have been generated for humans and several other organisms, but so far no publicly available library exists for measuring the proteome of zebrafish, a rapidly emerging model system in biomedical research. Here, we present a large zebrafish SWATH spectral library to measure the abundance of 104,185 proteotypic peptides from 10,405 proteins. The library includes proteins expressed in 9 different zebrafish tissues (brain, eye, heart, intestine, liver, muscle, ovary, spleen, and testis) and provides an important new resource to quantify 40% of the protein-coding zebrafish genes. We employ this resource to quantify the proteome across brain, muscle, and liver and characterize divergent expression levels of paralogous proteins in different tissues. Data are available via ProteomeXchange (PXD010876, PXD010869) and SWATHAtlas (PASS01237). |
format | Online Article Text |
id | pubmed-6371892 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-63718922019-02-13 Generation of a zebrafish SWATH-MS spectral library to quantify 10,000 proteins Blattmann, Peter Stutz, Vivienne Lizzo, Giulia Richard, Joy Gut, Philipp Aebersold, Ruedi Sci Data Data Descriptor Sequential window acquisition of all theoretical mass spectra (SWATH-MS) requires a spectral library to extract quantitative measurements from the mass spectrometry data acquired in data-independent acquisition mode (DIA). Large combined spectral libraries containing SWATH assays have been generated for humans and several other organisms, but so far no publicly available library exists for measuring the proteome of zebrafish, a rapidly emerging model system in biomedical research. Here, we present a large zebrafish SWATH spectral library to measure the abundance of 104,185 proteotypic peptides from 10,405 proteins. The library includes proteins expressed in 9 different zebrafish tissues (brain, eye, heart, intestine, liver, muscle, ovary, spleen, and testis) and provides an important new resource to quantify 40% of the protein-coding zebrafish genes. We employ this resource to quantify the proteome across brain, muscle, and liver and characterize divergent expression levels of paralogous proteins in different tissues. Data are available via ProteomeXchange (PXD010876, PXD010869) and SWATHAtlas (PASS01237). Nature Publishing Group 2019-02-12 /pmc/articles/PMC6371892/ /pubmed/30747917 http://dx.doi.org/10.1038/sdata.2019.11 Text en Copyright © 2019, The Author(s) http://creativecommons.org/licenses/by/4.0/ 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 made available in this article. |
spellingShingle | Data Descriptor Blattmann, Peter Stutz, Vivienne Lizzo, Giulia Richard, Joy Gut, Philipp Aebersold, Ruedi Generation of a zebrafish SWATH-MS spectral library to quantify 10,000 proteins |
title | Generation of a zebrafish SWATH-MS spectral library to quantify 10,000 proteins |
title_full | Generation of a zebrafish SWATH-MS spectral library to quantify 10,000 proteins |
title_fullStr | Generation of a zebrafish SWATH-MS spectral library to quantify 10,000 proteins |
title_full_unstemmed | Generation of a zebrafish SWATH-MS spectral library to quantify 10,000 proteins |
title_short | Generation of a zebrafish SWATH-MS spectral library to quantify 10,000 proteins |
title_sort | generation of a zebrafish swath-ms spectral library to quantify 10,000 proteins |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371892/ https://www.ncbi.nlm.nih.gov/pubmed/30747917 http://dx.doi.org/10.1038/sdata.2019.11 |
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