Literature DB >> 31990573

Parallel Notched Gas-Phase Enrichment for Improved Proteome Identification and Quantification with Fast Spectral Acquisition Rates.

Brian K Erickson1, Devin K Schweppe1, Qing Yu1, Ramin Rad1, Wilhem Haas1, Graeme C McAlister1, Steven P Gygi1.   

Abstract

Gas-phase fractionation enables better quantitative accuracy, improves signal-to-noise ratios, and increases sensitivity in proteomic analyses. However, traditional gas-phase enrichment, which relies upon a large continuous bin, results in suboptimal enrichment, as most chromatographic separations are not 100% orthogonal relative to the first MS dimension (MS1 m/z). As such, ions with similar m/z values tend to elute at the same retention time, which prevents the partitioning of narrow precursor m/z distributions into a few large continuous gas-phase enrichment bins. To overcome this issue, we developed and tested the use of notched isolation waveforms, which simultaneously isolate multiple discrete m/z windows in parallel (e.g., 650-700 m/z and 800-850 m/z). By comparison to a canonical gas-phase fractionation method, notched waveforms do not require bin optimization via in silico digestion or wasteful sample injections to isolate multiple precursor windows. Importantly, the collection of all m/z bins simultaneously using the isolation waveform does not suffer from the sensitivity and duty cycle pitfalls inherent to sequential collection of multiple m/z bins. Applying a notched injection waveform provided consistent enrichment of precursor ions, which resulted in improved proteome depth with greater coverage of low-abundance proteins. Finally, using a reductive dimethyl labeling approach, we show that notched isolation waveforms increase the number of quantified peptides with improved accuracy and precision across a wider dynamic range.

Entities:  

Keywords:  dynamic range; gas-phase fractionation; injection waveform; label-free quantification; multinotch; orbitrap; reductive dimethylation

Mesh:

Substances:

Year:  2020        PMID: 31990573      PMCID: PMC7334078          DOI: 10.1021/acs.jproteome.9b00715

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


  14 in total

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2.  Stable-isotope dimethyl labeling for quantitative proteomics.

Authors:  Jue-Liang Hsu; Sheng-Yu Huang; Nan-Haw Chow; Shu-Hui Chen
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3.  Performance evaluation of a high-field Orbitrap mass analyzer.

Authors:  Alexander Makarov; Eduard Denisov; Oliver Lange
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4.  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

5.  Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics.

Authors:  Paola Picotti; Bernd Bodenmiller; Lukas N Mueller; Bruno Domon; Ruedi Aebersold
Journal:  Cell       Date:  2009-08-06       Impact factor: 41.582

6.  Active Instrument Engagement Combined with a Real-Time Database Search for Improved Performance of Sample Multiplexing Workflows.

Authors:  Brian K Erickson; Julian Mintseris; Devin K Schweppe; José Navarrete-Perea; Alison R Erickson; David P Nusinow; Joao A Paulo; Steven P Gygi
Journal:  J Proteome Res       Date:  2019-02-04       Impact factor: 4.466

Review 7.  Proteome sequencing goes deep.

Authors:  Alicia L Richards; Anna E Merrill; Joshua J Coon
Journal:  Curr Opin Chem Biol       Date:  2014-11-08       Impact factor: 8.822

8.  Multiplexed data independent acquisition (MSX-DIA) applied by high resolution mass spectrometry improves quantification quality for the analysis of histone peptides.

Authors:  Simone Sidoli; Rina Fujiwara; Benjamin A Garcia
Journal:  Proteomics       Date:  2016-06-08       Impact factor: 3.984

9.  Segmentation of precursor mass range using "tiling" approach increases peptide identifications for MS1-based label-free quantification.

Authors:  Catherine E Vincent; Gregory K Potts; Arne Ulbrich; Michael S Westphall; James A Atwood; Joshua J Coon; D Brent Weatherly
Journal:  Anal Chem       Date:  2013-02-12       Impact factor: 6.986

10.  MultiNotch MS3 enables accurate, sensitive, and multiplexed detection of differential expression across cancer cell line proteomes.

Authors:  Graeme C McAlister; David P Nusinow; Mark P Jedrychowski; Martin Wühr; Edward L Huttlin; Brian K Erickson; Ramin Rad; Wilhelm Haas; Steven P Gygi
Journal:  Anal Chem       Date:  2014-07-03       Impact factor: 8.008

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  1 in total

Review 1.  Misincorporation Proteomics Technologies: A Review.

Authors:  Joel R Steele; Carly J Italiano; Connor R Phillips; Jake P Violi; Lisa Pu; Kenneth J Rodgers; Matthew P Padula
Journal:  Proteomes       Date:  2021-01-21
  1 in total

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