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Quartet protein reference materials and datasets for multi-platform assessment of label-free proteomics
BACKGROUND: Quantitative proteomics is an indispensable tool in life science research. However, there is a lack of reference materials for evaluating the reproducibility of label-free liquid chromatography-tandem mass spectrometry (LC–MS/MS)-based measurements among different instruments and laborat...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483797/ https://www.ncbi.nlm.nih.gov/pubmed/37674236 http://dx.doi.org/10.1186/s13059-023-03048-y |
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author | Tian, Sha Zhan, Dongdong Yu, Ying Wang, Yunzhi Liu, Mingwei Tan, Subei Li, Yan Song, Lei Qin, Zhaoyu Li, Xianju Liu, Yang Li, Yao Ji, Shuhui Wang, Shanshan Zheng, Yuanting He, Fuchu Qin, Jun Ding, Chen |
author_facet | Tian, Sha Zhan, Dongdong Yu, Ying Wang, Yunzhi Liu, Mingwei Tan, Subei Li, Yan Song, Lei Qin, Zhaoyu Li, Xianju Liu, Yang Li, Yao Ji, Shuhui Wang, Shanshan Zheng, Yuanting He, Fuchu Qin, Jun Ding, Chen |
author_sort | Tian, Sha |
collection | PubMed |
description | BACKGROUND: Quantitative proteomics is an indispensable tool in life science research. However, there is a lack of reference materials for evaluating the reproducibility of label-free liquid chromatography-tandem mass spectrometry (LC–MS/MS)-based measurements among different instruments and laboratories. RESULTS: Here, we develop the Quartet standard as a proteome reference material with built-in truths, and distribute the same aliquots to 15 laboratories with nine conventional LC–MS/MS platforms across six cities in China. Relative abundance of over 12,000 proteins on 816 mass spectrometry files are obtained and compared for reproducibility among the instruments and laboratories to ultimately generate proteomics benchmark datasets. There is a wide dynamic range of proteomes spanning about 7 orders of magnitude, and the injection order has marked effects on quantitative instead of qualitative characteristics. CONCLUSION: Overall, the Quartet offers valuable standard materials and data resources for improving the quality control of proteomic analyses as well as the reproducibility and reliability of research findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-03048-y. |
format | Online Article Text |
id | pubmed-10483797 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-104837972023-09-08 Quartet protein reference materials and datasets for multi-platform assessment of label-free proteomics Tian, Sha Zhan, Dongdong Yu, Ying Wang, Yunzhi Liu, Mingwei Tan, Subei Li, Yan Song, Lei Qin, Zhaoyu Li, Xianju Liu, Yang Li, Yao Ji, Shuhui Wang, Shanshan Zheng, Yuanting He, Fuchu Qin, Jun Ding, Chen Genome Biol Research BACKGROUND: Quantitative proteomics is an indispensable tool in life science research. However, there is a lack of reference materials for evaluating the reproducibility of label-free liquid chromatography-tandem mass spectrometry (LC–MS/MS)-based measurements among different instruments and laboratories. RESULTS: Here, we develop the Quartet standard as a proteome reference material with built-in truths, and distribute the same aliquots to 15 laboratories with nine conventional LC–MS/MS platforms across six cities in China. Relative abundance of over 12,000 proteins on 816 mass spectrometry files are obtained and compared for reproducibility among the instruments and laboratories to ultimately generate proteomics benchmark datasets. There is a wide dynamic range of proteomes spanning about 7 orders of magnitude, and the injection order has marked effects on quantitative instead of qualitative characteristics. CONCLUSION: Overall, the Quartet offers valuable standard materials and data resources for improving the quality control of proteomic analyses as well as the reproducibility and reliability of research findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-03048-y. BioMed Central 2023-09-07 /pmc/articles/PMC10483797/ /pubmed/37674236 http://dx.doi.org/10.1186/s13059-023-03048-y Text en © The Author(s) 2023 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, 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 data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Tian, Sha Zhan, Dongdong Yu, Ying Wang, Yunzhi Liu, Mingwei Tan, Subei Li, Yan Song, Lei Qin, Zhaoyu Li, Xianju Liu, Yang Li, Yao Ji, Shuhui Wang, Shanshan Zheng, Yuanting He, Fuchu Qin, Jun Ding, Chen Quartet protein reference materials and datasets for multi-platform assessment of label-free proteomics |
title | Quartet protein reference materials and datasets for multi-platform assessment of label-free proteomics |
title_full | Quartet protein reference materials and datasets for multi-platform assessment of label-free proteomics |
title_fullStr | Quartet protein reference materials and datasets for multi-platform assessment of label-free proteomics |
title_full_unstemmed | Quartet protein reference materials and datasets for multi-platform assessment of label-free proteomics |
title_short | Quartet protein reference materials and datasets for multi-platform assessment of label-free proteomics |
title_sort | quartet protein reference materials and datasets for multi-platform assessment of label-free proteomics |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10483797/ https://www.ncbi.nlm.nih.gov/pubmed/37674236 http://dx.doi.org/10.1186/s13059-023-03048-y |
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