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Generation of a mouse SWATH-MS spectral library to quantify 10148 proteins involved in cell reprogramming
Murine models are amongst the most widely used systems to study biology and pathology. Targeted quantitative proteomic analysis is a relatively new tool to interrogate such systems. Recently the need for relative quantification on hundreds to thousands of samples has driven the development of Data I...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076245/ https://www.ncbi.nlm.nih.gov/pubmed/33903600 http://dx.doi.org/10.1038/s41597-021-00896-w |
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author | Ulanga, Uxue Russell, Matthew Patassini, Stefano Brazzatti, Julie Graham, Ciaren Whetton, Anthony D. Graham, Robert L. J. |
author_facet | Ulanga, Uxue Russell, Matthew Patassini, Stefano Brazzatti, Julie Graham, Ciaren Whetton, Anthony D. Graham, Robert L. J. |
author_sort | Ulanga, Uxue |
collection | PubMed |
description | Murine models are amongst the most widely used systems to study biology and pathology. Targeted quantitative proteomic analysis is a relatively new tool to interrogate such systems. Recently the need for relative quantification on hundreds to thousands of samples has driven the development of Data Independent Acquisition methods. One such technique is SWATH-MS, which in the main requires prior acquisition of mass spectra to generate an assay reference library. In stem cell research, it has been shown pluripotency can be induced starting with a fibroblast population. In so doing major changes in expressed proteins is inevitable. Here we have created a reference library to underpin such studies. This is inclusive of an extensively documented script to enable replication of library generation from the raw data. The documented script facilitates reuse of data and adaptation of the library to novel applications. The resulting library provides deep coverage of the mouse proteome. The library covers 29519 proteins (53% of the proteome) of which 7435 (13%) are supported by a proteotypic peptide. |
format | Online Article Text |
id | pubmed-8076245 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80762452021-05-05 Generation of a mouse SWATH-MS spectral library to quantify 10148 proteins involved in cell reprogramming Ulanga, Uxue Russell, Matthew Patassini, Stefano Brazzatti, Julie Graham, Ciaren Whetton, Anthony D. Graham, Robert L. J. Sci Data Data Descriptor Murine models are amongst the most widely used systems to study biology and pathology. Targeted quantitative proteomic analysis is a relatively new tool to interrogate such systems. Recently the need for relative quantification on hundreds to thousands of samples has driven the development of Data Independent Acquisition methods. One such technique is SWATH-MS, which in the main requires prior acquisition of mass spectra to generate an assay reference library. In stem cell research, it has been shown pluripotency can be induced starting with a fibroblast population. In so doing major changes in expressed proteins is inevitable. Here we have created a reference library to underpin such studies. This is inclusive of an extensively documented script to enable replication of library generation from the raw data. The documented script facilitates reuse of data and adaptation of the library to novel applications. The resulting library provides deep coverage of the mouse proteome. The library covers 29519 proteins (53% of the proteome) of which 7435 (13%) are supported by a proteotypic peptide. Nature Publishing Group UK 2021-04-26 /pmc/articles/PMC8076245/ /pubmed/33903600 http://dx.doi.org/10.1038/s41597-021-00896-w Text en © The Author(s) 2021 https://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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Ulanga, Uxue Russell, Matthew Patassini, Stefano Brazzatti, Julie Graham, Ciaren Whetton, Anthony D. Graham, Robert L. J. Generation of a mouse SWATH-MS spectral library to quantify 10148 proteins involved in cell reprogramming |
title | Generation of a mouse SWATH-MS spectral library to quantify 10148 proteins involved in cell reprogramming |
title_full | Generation of a mouse SWATH-MS spectral library to quantify 10148 proteins involved in cell reprogramming |
title_fullStr | Generation of a mouse SWATH-MS spectral library to quantify 10148 proteins involved in cell reprogramming |
title_full_unstemmed | Generation of a mouse SWATH-MS spectral library to quantify 10148 proteins involved in cell reprogramming |
title_short | Generation of a mouse SWATH-MS spectral library to quantify 10148 proteins involved in cell reprogramming |
title_sort | generation of a mouse swath-ms spectral library to quantify 10148 proteins involved in cell reprogramming |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8076245/ https://www.ncbi.nlm.nih.gov/pubmed/33903600 http://dx.doi.org/10.1038/s41597-021-00896-w |
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