Literature DB >> 28901143

Scanning Quadrupole Data-Independent Acquisition, Part A: Qualitative and Quantitative Characterization.

M Arthur Moseley1, Christopher J Hughes2, Praveen R Juvvadi3, Erik J Soderblom1, Sarah Lennon2, Simon R Perkins4, J Will Thompson1, William J Steinbach3,5, Scott J Geromanos6, Jason Wildgoose2, James I Langridge2, Keith Richardson2, Johannes P C Vissers2.   

Abstract

A novel data-independent acquisition (DIA) method incorporating a scanning quadrupole in front of a collision cell and orthogonal acceleration time-of-flight mass analyzer is described. The method has been characterized for the qualitative and quantitative label-free proteomic analysis of complex biological samples. The principle of the scanning quadrupole DIA method is discussed, and analytical instrument characteristics, such as the quadrupole transmission width, scan/integration time, and chromatographic separation, have been optimized in relation to sample complexity for a number of different model proteomes of varying complexity and dynamic range including human plasma, cell lines, and bacteria. In addition, the technological merits over existing DIA approaches are described and contrasted. The qualitative and semiquantitative performance of the method is illustrated for the analysis of relatively simple protein digest mixtures and a well-characterized human cell line sample using untargeted and targeted search strategies. Finally, the results from a human cell line were compared against publicly available data that used similar chromatographic conditions but were acquired with DDA technology and alternative mass analyzer systems. Qualitative comparison showed excellent concordance of results with >90% overlap of the detected proteins.

Entities:  

Keywords:  data-independent acquisition; label-free quantitation; scanning quadrupole

Mesh:

Substances:

Year:  2017        PMID: 28901143     DOI: 10.1021/acs.jproteome.7b00464

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  16 in total

1.  Initial Guidelines for Manuscripts Employing Data-independent Acquisition Mass Spectrometry for Proteomic Analysis.

Authors:  Robert J Chalkley; Michael J MacCoss; Jacob D Jaffe; Hannes L Röst
Journal:  Mol Cell Proteomics       Date:  2019-01       Impact factor: 5.911

2.  Acquiring and Analyzing Data Independent Acquisition Proteomics Experiments without Spectrum Libraries.

Authors:  Lindsay K Pino; Seth C Just; Michael J MacCoss; Brian C Searle
Journal:  Mol Cell Proteomics       Date:  2020-04-20       Impact factor: 5.911

3.  Scanning Quadrupole Data-Independent Acquisition, Part B: Application to the Analysis of the Calcineurin-Interacting Proteins during Treatment of Aspergillus fumigatus with Azole and Echinocandin Antifungal Drugs.

Authors:  Praveen R Juvvadi; M Arthur Moseley; Christopher J Hughes; Erik J Soderblom; Sarah Lennon; Simon R Perkins; J Will Thompson; Scott J Geromanos; Jason Wildgoose; Keith Richardson; James I Langridge; Johannes P C Vissers; William J Steinbach
Journal:  J Proteome Res       Date:  2017-12-29       Impact factor: 4.466

4.  Increasing proteomics throughput.

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

Review 5.  Expanding the Use of Spectral Libraries in Proteomics.

Authors:  Eric W Deutsch; Yasset Perez-Riverol; Robert J Chalkley; Mathias Wilhelm; Stephen Tate; Timo Sachsenberg; Mathias Walzer; Lukas Käll; Bernard Delanghe; Sebastian Böcker; Emma L Schymanski; Paul Wilmes; Viktoria Dorfer; Bernhard Kuster; Pieter-Jan Volders; Nico Jehmlich; Johannes P C Vissers; Dennis W Wolan; Ana Y Wang; Luis Mendoza; Jim Shofstahl; Andrew W Dowsey; Johannes Griss; Reza M Salek; Steffen Neumann; Pierre-Alain Binz; Henry Lam; Juan Antonio Vizcaíno; Nuno Bandeira; Hannes Röst
Journal:  J Proteome Res       Date:  2018-10-11       Impact factor: 4.466

6.  Ultra-fast proteomics with Scanning SWATH.

Authors:  Christoph B Messner; Vadim Demichev; Nic Bloomfield; Jason S L Yu; Matthew White; Marco Kreidl; Anna-Sophia Egger; Anja Freiwald; Gordana Ivosev; Fras Wasim; Aleksej Zelezniak; Linda Jürgens; Norbert Suttorp; Leif Erik Sander; Florian Kurth; Kathryn S Lilley; Michael Mülleder; Stephen Tate; Markus Ralser
Journal:  Nat Biotechnol       Date:  2021-03-25       Impact factor: 54.908

7.  Improving Precursor Selectivity in Data-Independent Acquisition Using Overlapping Windows.

Authors:  Dario Amodei; Jarrett Egertson; Brendan X MacLean; Richard Johnson; Gennifer E Merrihew; Austin Keller; Don Marsh; Olga Vitek; Parag Mallick; Michael J MacCoss
Journal:  J Am Soc Mass Spectrom       Date:  2019-01-22       Impact factor: 3.109

8.  Proteins associated with neutrophil degranulation are upregulated in nasopharyngeal swabs from SARS-CoV-2 patients.

Authors:  Emel Akgun; Mete Bora Tuzuner; Betul Sahin; Meltem Kilercik; Canan Kulah; Hacer Nur Cakiroglu; Mustafa Serteser; Ibrahim Unsal; Ahmet Tarik Baykal
Journal:  PLoS One       Date:  2020-10-20       Impact factor: 3.240

Review 9.  Proteomics and Informatics for Understanding Phases and Identifying Biomarkers in COVID-19 Disease.

Authors:  Anthony D Whetton; George W Preston; Semira Abubeker; Nophar Geifman
Journal:  J Proteome Res       Date:  2020-07-24       Impact factor: 4.466

Review 10.  Data-independent acquisition-based SWATH-MS for quantitative proteomics: a tutorial.

Authors:  Christina Ludwig; Ludovic Gillet; George Rosenberger; Sabine Amon; Ben C Collins; Ruedi Aebersold
Journal:  Mol Syst Biol       Date:  2018-08-13       Impact factor: 11.429

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