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Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data Independent Acquisition
We evaluate the quantitative performance of the newly released Asymmetric Track Lossless (Astral) analyzer. Using data independent acquisition, the Thermo Scientific(™) Orbitrap(™) Astral(™) mass spectrometer quantifies 5 times more peptides per unit time than state-of-the-art Thermo Scientific(™) O...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312564/ https://www.ncbi.nlm.nih.gov/pubmed/37398334 http://dx.doi.org/10.1101/2023.06.03.543570 |
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author | Heil, Lilian R. Damoc, Eugen Arrey, Tabiwang N. Pashkova, Anna Denisov, Eduard Petzoldt, Johannes Peterson, Amelia C. Hsu, Chris Searle, Brian C. Shulman, Nicholas Riffle, Michael Connolly, Brian MacLean, Brendan X. Remes, Philip M. Senko, Michael W. Stewart, Hamish I. Hock, Christian Makarov, Alexander A. Hermanson, Daniel Zabrouskov, Vlad Wu, Christine C. MacCoss, Michael J. |
author_facet | Heil, Lilian R. Damoc, Eugen Arrey, Tabiwang N. Pashkova, Anna Denisov, Eduard Petzoldt, Johannes Peterson, Amelia C. Hsu, Chris Searle, Brian C. Shulman, Nicholas Riffle, Michael Connolly, Brian MacLean, Brendan X. Remes, Philip M. Senko, Michael W. Stewart, Hamish I. Hock, Christian Makarov, Alexander A. Hermanson, Daniel Zabrouskov, Vlad Wu, Christine C. MacCoss, Michael J. |
author_sort | Heil, Lilian R. |
collection | PubMed |
description | We evaluate the quantitative performance of the newly released Asymmetric Track Lossless (Astral) analyzer. Using data independent acquisition, the Thermo Scientific(™) Orbitrap(™) Astral(™) mass spectrometer quantifies 5 times more peptides per unit time than state-of-the-art Thermo Scientific(™) Orbitrap(™) mass spectrometers, which have long been the gold standard for high resolution quantitative proteomics. Our results demonstrate that the Orbitrap Astral mass spectrometer can produce high quality quantitative measurements across a wide dynamic range. We also use a newly developed extra-cellular vesicle enrichment protocol to reach new depths of coverage in the plasma proteome, quantifying over 5,000 plasma proteins in a 60-minute gradient with the Orbitrap Astral mass spectrometer. |
format | Online Article Text |
id | pubmed-10312564 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-103125642023-07-01 Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data Independent Acquisition Heil, Lilian R. Damoc, Eugen Arrey, Tabiwang N. Pashkova, Anna Denisov, Eduard Petzoldt, Johannes Peterson, Amelia C. Hsu, Chris Searle, Brian C. Shulman, Nicholas Riffle, Michael Connolly, Brian MacLean, Brendan X. Remes, Philip M. Senko, Michael W. Stewart, Hamish I. Hock, Christian Makarov, Alexander A. Hermanson, Daniel Zabrouskov, Vlad Wu, Christine C. MacCoss, Michael J. bioRxiv Article We evaluate the quantitative performance of the newly released Asymmetric Track Lossless (Astral) analyzer. Using data independent acquisition, the Thermo Scientific(™) Orbitrap(™) Astral(™) mass spectrometer quantifies 5 times more peptides per unit time than state-of-the-art Thermo Scientific(™) Orbitrap(™) mass spectrometers, which have long been the gold standard for high resolution quantitative proteomics. Our results demonstrate that the Orbitrap Astral mass spectrometer can produce high quality quantitative measurements across a wide dynamic range. We also use a newly developed extra-cellular vesicle enrichment protocol to reach new depths of coverage in the plasma proteome, quantifying over 5,000 plasma proteins in a 60-minute gradient with the Orbitrap Astral mass spectrometer. Cold Spring Harbor Laboratory 2023-08-07 /pmc/articles/PMC10312564/ /pubmed/37398334 http://dx.doi.org/10.1101/2023.06.03.543570 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Heil, Lilian R. Damoc, Eugen Arrey, Tabiwang N. Pashkova, Anna Denisov, Eduard Petzoldt, Johannes Peterson, Amelia C. Hsu, Chris Searle, Brian C. Shulman, Nicholas Riffle, Michael Connolly, Brian MacLean, Brendan X. Remes, Philip M. Senko, Michael W. Stewart, Hamish I. Hock, Christian Makarov, Alexander A. Hermanson, Daniel Zabrouskov, Vlad Wu, Christine C. MacCoss, Michael J. Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data Independent Acquisition |
title | Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data Independent Acquisition |
title_full | Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data Independent Acquisition |
title_fullStr | Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data Independent Acquisition |
title_full_unstemmed | Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data Independent Acquisition |
title_short | Evaluating the Performance of the Astral Mass Analyzer for Quantitative Proteomics Using Data Independent Acquisition |
title_sort | evaluating the performance of the astral mass analyzer for quantitative proteomics using data independent acquisition |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10312564/ https://www.ncbi.nlm.nih.gov/pubmed/37398334 http://dx.doi.org/10.1101/2023.06.03.543570 |
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