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Fast MS/MS acquisition without dynamic exclusion enables precise and accurate quantification of proteome by MS/MS fragment intensity

Most currently proteomic studies use data-dependent acquisition with dynamic exclusion to identify and quantify the peptides generated by the digestion of biological sample. Although dynamic exclusion permits more identifications and higher possibility to find low abundant proteins, stochastic and i...

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Autores principales: Zhang, Shen, Wu, Qi, Shan, Yichu, Zhao, Qun, Zhao, Baofeng, Weng, Yejing, Sui, Zhigang, Zhang, Lihua, Zhang, Yukui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873735/
https://www.ncbi.nlm.nih.gov/pubmed/27198003
http://dx.doi.org/10.1038/srep26392
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author Zhang, Shen
Wu, Qi
Shan, Yichu
Zhao, Qun
Zhao, Baofeng
Weng, Yejing
Sui, Zhigang
Zhang, Lihua
Zhang, Yukui
author_facet Zhang, Shen
Wu, Qi
Shan, Yichu
Zhao, Qun
Zhao, Baofeng
Weng, Yejing
Sui, Zhigang
Zhang, Lihua
Zhang, Yukui
author_sort Zhang, Shen
collection PubMed
description Most currently proteomic studies use data-dependent acquisition with dynamic exclusion to identify and quantify the peptides generated by the digestion of biological sample. Although dynamic exclusion permits more identifications and higher possibility to find low abundant proteins, stochastic and irreproducible precursor ion selection caused by dynamic exclusion limit the quantification capabilities, especially for MS/MS based quantification. This is because a peptide is usually triggered for fragmentation only once due to dynamic exclusion. Therefore the fragment ions used for quantification only reflect the peptide abundances at that given time point. Here, we propose a strategy of fast MS/MS acquisition without dynamic exclusion to enable precise and accurate quantification of proteome by MS/MS fragment intensity. The results showed comparable proteome identification efficiency compared to the traditional data-dependent acquisition with dynamic exclusion, better quantitative accuracy and reproducibility regardless of label-free based quantification or isobaric labeling based quantification. It provides us with new insights to fully explore the potential of modern mass spectrometers. This strategy was applied to the relative quantification of two human disease cell lines, showing great promises for quantitative proteomic applications.
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spelling pubmed-48737352016-06-02 Fast MS/MS acquisition without dynamic exclusion enables precise and accurate quantification of proteome by MS/MS fragment intensity Zhang, Shen Wu, Qi Shan, Yichu Zhao, Qun Zhao, Baofeng Weng, Yejing Sui, Zhigang Zhang, Lihua Zhang, Yukui Sci Rep Article Most currently proteomic studies use data-dependent acquisition with dynamic exclusion to identify and quantify the peptides generated by the digestion of biological sample. Although dynamic exclusion permits more identifications and higher possibility to find low abundant proteins, stochastic and irreproducible precursor ion selection caused by dynamic exclusion limit the quantification capabilities, especially for MS/MS based quantification. This is because a peptide is usually triggered for fragmentation only once due to dynamic exclusion. Therefore the fragment ions used for quantification only reflect the peptide abundances at that given time point. Here, we propose a strategy of fast MS/MS acquisition without dynamic exclusion to enable precise and accurate quantification of proteome by MS/MS fragment intensity. The results showed comparable proteome identification efficiency compared to the traditional data-dependent acquisition with dynamic exclusion, better quantitative accuracy and reproducibility regardless of label-free based quantification or isobaric labeling based quantification. It provides us with new insights to fully explore the potential of modern mass spectrometers. This strategy was applied to the relative quantification of two human disease cell lines, showing great promises for quantitative proteomic applications. Nature Publishing Group 2016-05-20 /pmc/articles/PMC4873735/ /pubmed/27198003 http://dx.doi.org/10.1038/srep26392 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Zhang, Shen
Wu, Qi
Shan, Yichu
Zhao, Qun
Zhao, Baofeng
Weng, Yejing
Sui, Zhigang
Zhang, Lihua
Zhang, Yukui
Fast MS/MS acquisition without dynamic exclusion enables precise and accurate quantification of proteome by MS/MS fragment intensity
title Fast MS/MS acquisition without dynamic exclusion enables precise and accurate quantification of proteome by MS/MS fragment intensity
title_full Fast MS/MS acquisition without dynamic exclusion enables precise and accurate quantification of proteome by MS/MS fragment intensity
title_fullStr Fast MS/MS acquisition without dynamic exclusion enables precise and accurate quantification of proteome by MS/MS fragment intensity
title_full_unstemmed Fast MS/MS acquisition without dynamic exclusion enables precise and accurate quantification of proteome by MS/MS fragment intensity
title_short Fast MS/MS acquisition without dynamic exclusion enables precise and accurate quantification of proteome by MS/MS fragment intensity
title_sort fast ms/ms acquisition without dynamic exclusion enables precise and accurate quantification of proteome by ms/ms fragment intensity
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4873735/
https://www.ncbi.nlm.nih.gov/pubmed/27198003
http://dx.doi.org/10.1038/srep26392
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