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A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins
Sequential window acquisition of all theoretical fragment-ion spectra (SWATH) is a data-independent acquisition (DIA) strategy that requires a specific spectral library to generate unbiased and consistent quantitative data matrices of all peptides. SWATH-MS is a promising approach for in-depth prote...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7419519/ https://www.ncbi.nlm.nih.gov/pubmed/32782267 http://dx.doi.org/10.1038/s41597-020-00594-z |
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author | Sim, Kae Hwan Liu, Lillian Chia-Yi Tan, Hwee Tong Tan, Kelly Ng, Daniel Zhang, Wei Yang, Yuansheng Tate, Stephen Bi, Xuezhi |
author_facet | Sim, Kae Hwan Liu, Lillian Chia-Yi Tan, Hwee Tong Tan, Kelly Ng, Daniel Zhang, Wei Yang, Yuansheng Tate, Stephen Bi, Xuezhi |
author_sort | Sim, Kae Hwan |
collection | PubMed |
description | Sequential window acquisition of all theoretical fragment-ion spectra (SWATH) is a data-independent acquisition (DIA) strategy that requires a specific spectral library to generate unbiased and consistent quantitative data matrices of all peptides. SWATH-MS is a promising approach for in-depth proteomic profiling of Chinese hamster Ovary (CHO) cell lines, improving mechanistic understanding of process optimization, and real-time monitoring of process parameters in biologics R&D and manufacturing. However, no spectral library for CHO cells is publicly available. Here we present a comprehensive CHO global spectral library to measure the abundance of more than 10,000 proteins consisting of 199,102 identified peptides from a CHO-K1 cell proteome. The robustness, accuracy and consistency of the spectral library were validated for high confidence in protein identification and reproducible quantification in different CHO-derived cell lines, instrumental setups and downstream processing samples. The availability of a comprehensive SWATH CHO global spectral library will facilitate detailed characterization of upstream and downstream processes, as well as quality by design (QbD) in biomanufacturing. The data have been deposited to ProteomeXchange (PXD016047). |
format | Online Article Text |
id | pubmed-7419519 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74195192020-08-18 A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins Sim, Kae Hwan Liu, Lillian Chia-Yi Tan, Hwee Tong Tan, Kelly Ng, Daniel Zhang, Wei Yang, Yuansheng Tate, Stephen Bi, Xuezhi Sci Data Data Descriptor Sequential window acquisition of all theoretical fragment-ion spectra (SWATH) is a data-independent acquisition (DIA) strategy that requires a specific spectral library to generate unbiased and consistent quantitative data matrices of all peptides. SWATH-MS is a promising approach for in-depth proteomic profiling of Chinese hamster Ovary (CHO) cell lines, improving mechanistic understanding of process optimization, and real-time monitoring of process parameters in biologics R&D and manufacturing. However, no spectral library for CHO cells is publicly available. Here we present a comprehensive CHO global spectral library to measure the abundance of more than 10,000 proteins consisting of 199,102 identified peptides from a CHO-K1 cell proteome. The robustness, accuracy and consistency of the spectral library were validated for high confidence in protein identification and reproducible quantification in different CHO-derived cell lines, instrumental setups and downstream processing samples. The availability of a comprehensive SWATH CHO global spectral library will facilitate detailed characterization of upstream and downstream processes, as well as quality by design (QbD) in biomanufacturing. The data have been deposited to ProteomeXchange (PXD016047). Nature Publishing Group UK 2020-08-11 /pmc/articles/PMC7419519/ /pubmed/32782267 http://dx.doi.org/10.1038/s41597-020-00594-z Text en © The Author(s) 2020 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 Sim, Kae Hwan Liu, Lillian Chia-Yi Tan, Hwee Tong Tan, Kelly Ng, Daniel Zhang, Wei Yang, Yuansheng Tate, Stephen Bi, Xuezhi A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins |
title | A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins |
title_full | A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins |
title_fullStr | A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins |
title_full_unstemmed | A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins |
title_short | A comprehensive CHO SWATH-MS spectral library for robust quantitative profiling of 10,000 proteins |
title_sort | comprehensive cho swath-ms spectral library for robust quantitative profiling of 10,000 proteins |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7419519/ https://www.ncbi.nlm.nih.gov/pubmed/32782267 http://dx.doi.org/10.1038/s41597-020-00594-z |
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