Literature DB >> 26757066

Systematic evaluation of data-independent acquisition for sensitive and reproducible proteomics-a prototype design for a single injection assay.

Michael R Heaven1, Adam J Funk2, Archie L Cobbs1, Wendy D Haffey3, Jeremy L Norris4, Robert E McCullumsmith2, Kenneth D Greis3.   

Abstract

Data-independent acquisition (DIA)-based proteomics has become increasingly complicated in recent years because of the vast number of workflows described, coupled with a lack of studies indicating a rational framework for selecting effective settings to use. To address this issue and provide a resource for the proteomics community, we compared 12 DIA methods that assay tryptic peptides using various mass-isolation windows. Our findings indicate that the most sensitive single injection LC-DIA method uses 6 m/z isolation windows to analyze the densely populated tryptic peptide range from 450 to 730 m/z, which allowed quantification of 4465 Escherichia coli peptides. In contrast, using the sequential windowed acquisition of all theoretical fragment-ions (SWATH) approach with 26 m/z isolation windows across the entire 400-1200 m/z range, allowed quantification of only 3309 peptides. This reduced sensitivity with 26 m/z windows is caused by an increase in co-eluting compounds with similar precursor values detected in the same tandem MS spectra, which lowers the signal-to-noise of peptide fragment-ion chromatograms and reduces the amount of low abundance peptides that can be quantified from 410 to 920 m/z. Above 920 m/z, more peptides were quantified with 26 m/z windows because of substantial peptide (13) C isotope distributions that parse peptide ions into separate isolation windows. Because reproducible quantification has been a long-standing aim of quantitative proteomics, and is a so-called trait of DIA, we sought to determine whether precursor-level chromatograms used in some methods rather than their fragment-level counterparts have similar precision. Our data show that extracted fragment-ion chromatograms are the reason DIA provides superior reproducibility.
Copyright © 2015 John Wiley & Sons, Ltd. Copyright © 2015 John Wiley & Sons, Ltd.

Entities:  

Keywords:  DIA; PAcIFIC; Protalizer; SWATH; label-free quantification

Mesh:

Substances:

Year:  2016        PMID: 26757066      PMCID: PMC4712743          DOI: 10.1002/jms.3716

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  28 in total

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3.  Genome-specific gas-phase fractionation strategy for improved shotgun proteomic profiling of proteotypic peptides.

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

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5.  XDIA: improving on the label-free data-independent analysis.

Authors:  Paulo C Carvalho; Xuemei Han; Tao Xu; Daniel Cociorva; Maria da Gloria Carvalho; Valmir C Barbosa; John R Yates
Journal:  Bioinformatics       Date:  2010-01-26       Impact factor: 6.937

6.  Parallel reaction monitoring for high resolution and high mass accuracy quantitative, targeted proteomics.

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Authors:  Thorsten Eismann; Nadine Huber; Thomas Shin; Satoshi Kuboki; Elizabeth Galloway; Michael Wyder; Michael J Edwards; Kenneth D Greis; Howard G Shertzer; Aron B Fisher; Alex B Lentsch
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Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

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Journal:  Anal Chem       Date:  2010-02-01       Impact factor: 6.986

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Review 3.  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

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Journal:  Expert Rev Proteomics       Date:  2021-05-31       Impact factor: 4.250

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6.  RNA sequencing and proteomics approaches reveal novel deficits in the cortex of Mecp2-deficient mice, a model for Rett syndrome.

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7.  Development of a Gill Assay Library for Ecological Proteomics of Threespine Sticklebacks (Gasterosteus aculeatus).

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Journal:  Mol Cell Proteomics       Date:  2018-08-09       Impact factor: 5.911

8.  Comprehensive proteomics investigation of P. vivax-infected human plasma and parasite isolates.

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9.  Evaluation of Stem Cell-Derived Red Blood Cells as a Transfusion Product Using a Novel Animal Model.

Authors:  Sandeep N Shah; Monique P Gelderman; Emily M A Lewis; John Farrel; Francine Wood; Michael Brad Strader; Abdu I Alayash; Jaroslav G Vostal
Journal:  PLoS One       Date:  2016-12-13       Impact factor: 3.240

10.  Multiplex Biomarker Screening Assay for Urinary Extracellular Vesicles Study: A Targeted Label-Free Proteomic Approach.

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