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Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries

Quantitative phosphoproteomics has transformed investigations of cell signaling, but it remains challenging to scale the technology for high-throughput analyses. Here we report a rapid and reproducible approach to analyze hundreds of phosphoproteomes using data-independent acquisition (DIA) with an...

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Autores principales: Bekker-Jensen, Dorte B., Bernhardt, Oliver M., Hogrebe, Alexander, Martinez-Val, Ana, Verbeke, Lynn, Gandhi, Tejas, Kelstrup, Christian D., Reiter, Lukas, Olsen, Jesper V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005859/
https://www.ncbi.nlm.nih.gov/pubmed/32034161
http://dx.doi.org/10.1038/s41467-020-14609-1
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author Bekker-Jensen, Dorte B.
Bernhardt, Oliver M.
Hogrebe, Alexander
Martinez-Val, Ana
Verbeke, Lynn
Gandhi, Tejas
Kelstrup, Christian D.
Reiter, Lukas
Olsen, Jesper V.
author_facet Bekker-Jensen, Dorte B.
Bernhardt, Oliver M.
Hogrebe, Alexander
Martinez-Val, Ana
Verbeke, Lynn
Gandhi, Tejas
Kelstrup, Christian D.
Reiter, Lukas
Olsen, Jesper V.
author_sort Bekker-Jensen, Dorte B.
collection PubMed
description Quantitative phosphoproteomics has transformed investigations of cell signaling, but it remains challenging to scale the technology for high-throughput analyses. Here we report a rapid and reproducible approach to analyze hundreds of phosphoproteomes using data-independent acquisition (DIA) with an accurate site localization score incorporated into Spectronaut. DIA-based phosphoproteomics achieves an order of magnitude broader dynamic range, higher reproducibility of identification, and improved sensitivity and accuracy of quantification compared to state-of-the-art data-dependent acquisition (DDA)-based phosphoproteomics. Notably, direct DIA without the need of spectral libraries performs close to analyses using project-specific libraries, quantifying > 20,000 phosphopeptides in 15 min single-shot LC-MS analysis per condition. Adaptation of a 3D multiple regression model-based algorithm enables global determination of phosphorylation site stoichiometry in DIA. Scalability of the DIA approach is demonstrated by systematically analyzing the effects of thirty kinase inhibitors in context of epidermal growth factor (EGF) signaling showing that specific protein kinases mediate EGF-dependent phospho-regulation.
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spelling pubmed-70058592020-02-10 Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries Bekker-Jensen, Dorte B. Bernhardt, Oliver M. Hogrebe, Alexander Martinez-Val, Ana Verbeke, Lynn Gandhi, Tejas Kelstrup, Christian D. Reiter, Lukas Olsen, Jesper V. Nat Commun Article Quantitative phosphoproteomics has transformed investigations of cell signaling, but it remains challenging to scale the technology for high-throughput analyses. Here we report a rapid and reproducible approach to analyze hundreds of phosphoproteomes using data-independent acquisition (DIA) with an accurate site localization score incorporated into Spectronaut. DIA-based phosphoproteomics achieves an order of magnitude broader dynamic range, higher reproducibility of identification, and improved sensitivity and accuracy of quantification compared to state-of-the-art data-dependent acquisition (DDA)-based phosphoproteomics. Notably, direct DIA without the need of spectral libraries performs close to analyses using project-specific libraries, quantifying > 20,000 phosphopeptides in 15 min single-shot LC-MS analysis per condition. Adaptation of a 3D multiple regression model-based algorithm enables global determination of phosphorylation site stoichiometry in DIA. Scalability of the DIA approach is demonstrated by systematically analyzing the effects of thirty kinase inhibitors in context of epidermal growth factor (EGF) signaling showing that specific protein kinases mediate EGF-dependent phospho-regulation. Nature Publishing Group UK 2020-02-07 /pmc/articles/PMC7005859/ /pubmed/32034161 http://dx.doi.org/10.1038/s41467-020-14609-1 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/.
spellingShingle Article
Bekker-Jensen, Dorte B.
Bernhardt, Oliver M.
Hogrebe, Alexander
Martinez-Val, Ana
Verbeke, Lynn
Gandhi, Tejas
Kelstrup, Christian D.
Reiter, Lukas
Olsen, Jesper V.
Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries
title Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries
title_full Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries
title_fullStr Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries
title_full_unstemmed Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries
title_short Rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries
title_sort rapid and site-specific deep phosphoproteome profiling by data-independent acquisition without the need for spectral libraries
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7005859/
https://www.ncbi.nlm.nih.gov/pubmed/32034161
http://dx.doi.org/10.1038/s41467-020-14609-1
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