Literature DB >> 33767396

Ultra-fast proteomics with Scanning SWATH.

Christoph B Messner1,2, Vadim Demichev1,2,3, Nic Bloomfield4, Jason S L Yu1, Matthew White1, Marco Kreidl1, Anna-Sophia Egger1, Anja Freiwald2,5, Gordana Ivosev4, Fras Wasim4, Aleksej Zelezniak1,6, Linda Jürgens7, Norbert Suttorp7, Leif Erik Sander7, Florian Kurth7,8, Kathryn S Lilley3, Michael Mülleder5, Stephen Tate4, Markus Ralser9,10.   

Abstract

Accurate quantification of the proteome remains challenging for large sample series and longitudinal experiments. We report a data-independent acquisition method, Scanning SWATH, that accelerates mass spectrometric (MS) duty cycles, yielding quantitative proteomes in combination with short gradients and high-flow (800 µl min-1) chromatography. Exploiting a continuous movement of the precursor isolation window to assign precursor masses to tandem mass spectrometry (MS/MS) fragment traces, Scanning SWATH increases precursor identifications by ~70% compared to conventional data-independent acquisition (DIA) methods on 0.5-5-min chromatographic gradients. We demonstrate the application of ultra-fast proteomics in drug mode-of-action screening and plasma proteomics. Scanning SWATH proteomes capture the mode of action of fungistatic azoles and statins. Moreover, we confirm 43 and identify 11 new plasma proteome biomarkers of COVID-19 severity, advancing patient classification and biomarker discovery. Thus, our results demonstrate a substantial acceleration and increased depth in fast proteomic experiments that facilitate proteomic drug screens and clinical studies.
© 2021. The Author(s), under exclusive licence to Springer Nature America, Inc. part of Springer Nature.

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Year:  2021        PMID: 33767396      PMCID: PMC7611254          DOI: 10.1038/s41587-021-00860-4

Source DB:  PubMed          Journal:  Nat Biotechnol        ISSN: 1087-0156            Impact factor:   54.908


  70 in total

1.  Mass spectrometry in high-throughput proteomics: ready for the big time.

Authors:  Tommy Nilsson; Matthias Mann; Ruedi Aebersold; John R Yates; Amos Bairoch; John J M Bergeron
Journal:  Nat Methods       Date:  2010-09       Impact factor: 28.547

Review 2.  Quantitative, high-resolution proteomics for data-driven systems biology.

Authors:  Jürgen Cox; Matthias Mann
Journal:  Annu Rev Biochem       Date:  2011       Impact factor: 23.643

3.  diaPASEF: parallel accumulation-serial fragmentation combined with data-independent acquisition.

Authors:  Florian Meier; Andreas-David Brunner; Max Frank; Annie Ha; Isabell Bludau; Eugenia Voytik; Stephanie Kaspar-Schoenefeld; Markus Lubeck; Oliver Raether; Nicolai Bache; Ruedi Aebersold; Ben C Collins; Hannes L Röst; Matthias Mann
Journal:  Nat Methods       Date:  2020-11-30       Impact factor: 28.547

4.  Surpassing 10 000 identified and quantified proteins in a single run by optimizing current LC-MS instrumentation and data analysis strategy.

Authors:  Jan Muntel; Tejas Gandhi; Lynn Verbeke; Oliver M Bernhardt; Tobias Treiber; Roland Bruderer; Lukas Reiter
Journal:  Mol Omics       Date:  2019-10-07

Review 5.  Mass-spectrometric exploration of proteome structure and function.

Authors:  Ruedi Aebersold; Matthias Mann
Journal:  Nature       Date:  2016-09-15       Impact factor: 49.962

6.  BoxCar acquisition method enables single-shot proteomics at a depth of 10,000 proteins in 100 minutes.

Authors:  Florian Meier; Philipp E Geyer; Sebastian Virreira Winter; Juergen Cox; Matthias Mann
Journal:  Nat Methods       Date:  2018-05-07       Impact factor: 28.547

7.  Comprehensive Single-Shot Proteomics with FAIMS on a Hybrid Orbitrap Mass Spectrometer.

Authors:  Alexander S Hebert; Satendra Prasad; Michael W Belford; Derek J Bailey; Graeme C McAlister; Susan E Abbatiello; Romain Huguet; Eloy R Wouters; Jean-Jacques Dunyach; Dain R Brademan; Michael S Westphall; Joshua J Coon
Journal:  Anal Chem       Date:  2018-07-18       Impact factor: 6.986

8.  Personalized Proteomics: The Future of Precision Medicine.

Authors:  Trevor T Duarte; Charles T Spencer
Journal:  Proteomes       Date:  2016-10-01

Review 9.  A comprehensive map of molecular drug targets.

Authors:  Rita Santos; Oleg Ursu; Anna Gaulton; A Patrícia Bento; Ramesh S Donadi; Cristian G Bologa; Anneli Karlsson; Bissan Al-Lazikani; Anne Hersey; Tudor I Oprea; John P Overington
Journal:  Nat Rev Drug Discov       Date:  2016-12-02       Impact factor: 84.694

10.  The one hour yeast proteome.

Authors:  Alexander S Hebert; Alicia L Richards; Derek J Bailey; Arne Ulbrich; Emma E Coughlin; Michael S Westphall; Joshua J Coon
Journal:  Mol Cell Proteomics       Date:  2013-10-19       Impact factor: 5.911

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  21 in total

1.  Increasing proteomics throughput.

Authors:  Nikolai Slavov
Journal:  Nat Biotechnol       Date:  2021-07       Impact factor: 54.908

2.  Increasing the throughput of sensitive proteomics by plexDIA.

Authors:  Jason Derks; Andrew Leduc; Georg Wallmann; R Gray Huffman; Matthew Willetts; Saad Khan; Harrison Specht; Markus Ralser; Vadim Demichev; Nikolai Slavov
Journal:  Nat Biotechnol       Date:  2022-07-14       Impact factor: 68.164

3.  A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study.

Authors:  Ziyue Wang; Adam Cryar; Oliver Lemke; Pinkus Tober-Lau; Daniela Ludwig; Elisa Theresa Helbig; Stefan Hippenstiel; Leif-Erik Sander; Daniel Blake; Catherine S Lane; Rebekah L Sayers; Christoph Mueller; Johannes Zeiser; StJohn Townsend; Vadim Demichev; Michael Mülleder; Florian Kurth; Ernestas Sirka; Johannes Hartl; Markus Ralser
Journal:  EClinicalMedicine       Date:  2022-06-09

Review 4.  Human adaptation to high altitude: a review of convergence between genomic and proteomic signatures.

Authors:  Vandana Sharma; Rajeev Varshney; Niroj Kumar Sethy
Journal:  Hum Genomics       Date:  2022-07-15       Impact factor: 6.481

Review 5.  Advances and Utility of the Human Plasma Proteome.

Authors:  Eric W Deutsch; Gilbert S Omenn; Zhi Sun; Michal Maes; Maria Pernemalm; Krishnan K Palaniappan; Natasha Letunica; Yves Vandenbrouck; Virginie Brun; Sheng-Ce Tao; Xiaobo Yu; Philipp E Geyer; Vera Ignjatovic; Robert L Moritz; Jochen M Schwenk
Journal:  J Proteome Res       Date:  2021-10-21       Impact factor: 5.370

6.  CD99 and polymeric immunoglobulin receptor peptides deregulation in critical COVID-19: A potential link to molecular pathophysiology?

Authors:  Justyna Siwy; Ralph Wendt; Amaya Albalat; Tianlin He; Harald Mischak; William Mullen; Agnieszka Latosinska; Christoph Lübbert; Sven Kalbitz; Alexandre Mebazaa; Björn Peters; Bernd Stegmayr; Goce Spasovski; Thorsten Wiech; Jan A Staessen; Johannes Wolf; Joachim Beige
Journal:  Proteomics       Date:  2021-08-21       Impact factor: 5.393

Review 7.  Proteomic Analysis Dissects Molecular Mechanisms Underlying Plant Responses to Phosphorus Deficiency.

Authors:  Ming Zhou; Shengnan Zhu; Xiaohui Mo; Qi Guo; Yaxue Li; Jiang Tian; Cuiyue Liang
Journal:  Cells       Date:  2022-02-14       Impact factor: 6.600

8.  A Sensitive and Controlled Data-Independent Acquisition Method for Proteomic Analysis of Cell Therapies.

Authors:  Camille Lombard-Banek; Kerstin I Pohl; Edward J Kwee; John T Elliott; John E Schiel
Journal:  J Proteome Res       Date:  2022-04-11       Impact factor: 5.370

Review 9.  What 'Omics can tell us about antifungal adaptation.

Authors:  Gabriela Fior Ribeiro; Eszter Denes; Helen Heaney; Delma S Childers
Journal:  FEMS Yeast Res       Date:  2022-01-11       Impact factor: 2.923

10.  Ultra-high sensitivity mass spectrometry quantifies single-cell proteome changes upon perturbation.

Authors:  Andreas-David Brunner; Marvin Thielert; Catherine Vasilopoulou; Constantin Ammar; Fabian Coscia; Andreas Mund; Ole B Hoerning; Nicolai Bache; Amalia Apalategui; Markus Lubeck; Sabrina Richter; David S Fischer; Oliver Raether; Melvin A Park; Florian Meier; Fabian J Theis; Matthias Mann
Journal:  Mol Syst Biol       Date:  2022-03       Impact factor: 11.429

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