Literature DB >> 33257825

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

Florian Meier1,2, Andreas-David Brunner1, Max Frank3, Annie Ha3, Isabell Bludau1, Eugenia Voytik1, Stephanie Kaspar-Schoenefeld4, Markus Lubeck4, Oliver Raether4, Nicolai Bache5, Ruedi Aebersold6,7, Ben C Collins8,9, Hannes L Röst10, Matthias Mann11,12.   

Abstract

Data-independent acquisition modes isolate and concurrently fragment populations of different precursors by cycling through segments of a predefined precursor m/z range. Although these selection windows collectively cover the entire m/z range, overall, only a few per cent of all incoming ions are isolated for mass analysis. Here, we make use of the correlation of molecular weight and ion mobility in a trapped ion mobility device (timsTOF Pro) to devise a scan mode that samples up to 100% of the peptide precursor ion current in m/z and mobility windows. We extend an established targeted data extraction workflow by inclusion of the ion mobility dimension for both signal extraction and scoring and thereby increase the specificity for precursor identification. Data acquired from whole proteome digests and mixed organism samples demonstrate deep proteome coverage and a high degree of reproducibility as well as quantitative accuracy, even from 10 ng sample amounts.

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Year:  2020        PMID: 33257825     DOI: 10.1038/s41592-020-00998-0

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  25 in total

1.  Drift time-specific collision energies enable deep-coverage data-independent acquisition proteomics.

Authors:  Ute Distler; Jörg Kuharev; Pedro Navarro; Yishai Levin; Hansjörg Schild; Stefan Tenzer
Journal:  Nat Methods       Date:  2013-12-15       Impact factor: 28.547

Review 2.  Multidimensional proteomics for cell biology.

Authors:  Mark Larance; Angus I Lamond
Journal:  Nat Rev Mol Cell Biol       Date:  2015-04-10       Impact factor: 94.444

Review 3.  Processing strategies and software solutions for data-independent acquisition in mass spectrometry.

Authors:  Aivett Bilbao; Emmanuel Varesio; Jeremy Luban; Caterina Strambio-De-Castillia; Gérard Hopfgartner; Markus Müller; Frédérique Lisacek
Journal:  Proteomics       Date:  2015-02-02       Impact factor: 3.984

Review 4.  Next-generation proteomics: towards an integrative view of proteome dynamics.

Authors:  A F Maarten Altelaar; Javier Munoz; Albert J R Heck
Journal:  Nat Rev Genet       Date:  2012-12-04       Impact factor: 53.242

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

Review 6.  Multiplexed and data-independent tandem mass spectrometry for global proteome profiling.

Authors:  John D Chapman; David R Goodlett; Christophe D Masselon
Journal:  Mass Spectrom Rev       Date:  2013-11-26       Impact factor: 10.946

7.  An Optimized Shotgun Strategy for the Rapid Generation of Comprehensive Human Proteomes.

Authors:  Dorte B Bekker-Jensen; Christian D Kelstrup; Tanveer S Batth; Sara C Larsen; Christa Haldrup; Jesper B Bramsen; Karina D Sørensen; Søren Høyer; Torben F Ørntoft; Claus L Andersen; Michael L Nielsen; Jesper V Olsen
Journal:  Cell Syst       Date:  2017-06-07       Impact factor: 10.304

8.  A deep proteome and transcriptome abundance atlas of 29 healthy human tissues.

Authors:  Dongxue Wang; Basak Eraslan; Thomas Wieland; Björn Hallström; Thomas Hopf; Daniel Paul Zolg; Jana Zecha; Anna Asplund; Li-Hua Li; Chen Meng; Martin Frejno; Tobias Schmidt; Karsten Schnatbaum; Mathias Wilhelm; Frederik Ponten; Mathias Uhlen; Julien Gagneur; Hannes Hahne; Bernhard Kuster
Journal:  Mol Syst Biol       Date:  2019-02-18       Impact factor: 11.429

9.  Reproducible quantitative proteotype data matrices for systems biology.

Authors:  Hannes L Röst; Lars Malmström; Ruedi Aebersold
Journal:  Mol Biol Cell       Date:  2015-11-05       Impact factor: 4.138

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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  41 in total

1.  High-Throughput Mass Spectrometry-Based Proteomics with dia-PASEF.

Authors:  Patricia Skowronek; Florian Meier
Journal:  Methods Mol Biol       Date:  2022

Review 2.  Data-independent acquisition (DIA): An emerging proteomics technology for analysis of drug-metabolizing enzymes and transporters.

Authors:  Jiapeng Li; Logan S Smith; Hao-Jie Zhu
Journal:  Drug Discov Today Technol       Date:  2021-07-09

3.  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

4.  A Preprocessing Tool for Enhanced Ion Mobility-Mass Spectrometry-Based Omics Workflows.

Authors:  Aivett Bilbao; Bryson C Gibbons; Sarah M Stow; Jennifer E Kyle; Kent J Bloodsworth; Samuel H Payne; Richard D Smith; Yehia M Ibrahim; Erin S Baker; John C Fjeldsted
Journal:  J Proteome Res       Date:  2021-08-12       Impact factor: 4.466

5.  Genome-wide CRISPRi screening identifies OCIAD1 as a prohibitin client and regulatory determinant of mitochondrial Complex III assembly in human cells.

Authors:  Maxence Le Vasseur; Jonathan Friedman; Marco Jost; Jiawei Xu; Justin Yamada; Martin Kampmann; Max A Horlbeck; Michelle R Salemi; Brett S Phinney; Jonathan S Weissman; Jodi Nunnari
Journal:  Elife       Date:  2021-05-26       Impact factor: 8.140

Review 6.  New insights into the functional role of retrotransposon dynamics in mammalian somatic cells.

Authors:  Arianna Mangiavacchi; Peng Liu; Francesco Della Valle; Valerio Orlando
Journal:  Cell Mol Life Sci       Date:  2021-05-14       Impact factor: 9.261

7.  A matter of perspective-Cutting-edge technology-driven urine proteome in COVID-19.

Authors:  Siyuan Wang; Catherine Cl Wong
Journal:  Urine (Amst)       Date:  2021-05-27

Review 8.  Evaluation of the Sensitivity of Proteomics Methods Using the Absolute Copy Number of Proteins in a Single Cell as a Metric.

Authors:  Benjamin C Orsburn
Journal:  Proteomes       Date:  2021-07-20

9.  Systematic detection of functional proteoform groups from bottom-up proteomic datasets.

Authors:  Isabell Bludau; Max Frank; Christian Dörig; Yujia Cai; Moritz Heusel; George Rosenberger; Paola Picotti; Ben C Collins; Hannes Röst; Ruedi Aebersold
Journal:  Nat Commun       Date:  2021-06-21       Impact factor: 14.919

10.  Toward Comprehensive Plasma Proteomics by Orthogonal Protease Digestion.

Authors:  Andrea Fossati; Alicia L Richards; Kuei-Ho Chen; Devan Jaganath; Adithya Cattamanchi; Joel D Ernst; Danielle L Swaney
Journal:  J Proteome Res       Date:  2021-07-28       Impact factor: 5.370

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