Literature DB >> 31147889

Assessing the Relationship Between Mass Window Width and Retention Time Scheduling on Protein Coverage for Data-Independent Acquisition.

Wenxue Li1, Hao Chi2, Barbora Salovska1,3, Chongde Wu1, Liangliang Sun4, George Rosenberger5, Yansheng Liu6,7.   

Abstract

Due to the technical advances of mass spectrometers, particularly increased scanning speed and higher MS/MS resolution, the use of data-independent acquisition mass spectrometry (DIA-MS) became more popular, which enables high reproducibility in both proteomic identification and quantification. The current DIA-MS methods normally cover a wide mass range, with the aim to target and identify as many peptides and proteins as possible and therefore frequently generate MS/MS spectra of high complexity. In this report, we assessed the performance and benefits of using small windows with, e.g., 5-m/z width across the peptide elution time. We further devised a new DIA method named RTwinDIA that schedules the small isolation windows in different retention time blocks, taking advantage of the fact that larger peptides are normally eluting later in reversed phase chromatography. We assessed the direct proteomic identification by using shotgun database searching tools such as MaxQuant and pFind, and also Spectronaut with an external comprehensive spectral library of human proteins. We conclude that algorithms like pFind have potential in directly analyzing DIA data acquired with small windows, and that the instrumental time and DIA cycle time, if prioritized to be spent on small windows rather than on covering a broad mass range by large windows, will improve the direct proteome coverage for new biological samples and increase the quantitative precision. These results further provide perspectives for the future convergence between DDA and DIA on faster MS analyzers.

Entities:  

Keywords:  Data-independent acquisition; Isolation windows; Maxquant; Spectronaut; pFind

Year:  2019        PMID: 31147889     DOI: 10.1007/s13361-019-02243-1

Source DB:  PubMed          Journal:  J Am Soc Mass Spectrom        ISSN: 1044-0305            Impact factor:   3.109


  7 in total

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2.  DeepLC can predict retention times for peptides that carry as-yet unseen modifications.

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4.  Global and Site-Specific Effect of Phosphorylation on Protein Turnover.

Authors:  Chongde Wu; Qian Ba; Dayun Lu; Wenxue Li; Barbora Salovska; Pingfu Hou; Torsten Mueller; George Rosenberger; Erli Gao; Yi Di; Hu Zhou; Eugenio F Fornasiero; Yansheng Liu
Journal:  Dev Cell       Date:  2020-11-24       Impact factor: 12.270

5.  BoxCarmax: A High-Selectivity Data-Independent Acquisition Mass Spectrometry Method for the Analysis of Protein Turnover and Complex Samples.

Authors:  Barbora Salovska; Wenxue Li; Yi Di; Yansheng Liu
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6.  Isoform-resolved correlation analysis between mRNA abundance regulation and protein level degradation.

Authors:  Barbora Salovska; Hongwen Zhu; Tejas Gandhi; Max Frank; Wenxue Li; George Rosenberger; Chongde Wu; Pierre-Luc Germain; Hu Zhou; Zdenek Hodny; Lukas Reiter; Yansheng Liu
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7.  Data-independent acquisition-based proteome and phosphoproteome profiling across six melanoma cell lines reveals determinants of proteotypes.

Authors:  Erli Gao; Wenxue Li; Chongde Wu; Wenguang Shao; Yi Di; Yansheng Liu
Journal:  Mol Omics       Date:  2021-06-14
  7 in total

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