TopDIA: A Software Tool for Top-Down Data-Independent Acquisition Proteomics

Top-down mass spectrometry is widely used for proteoform identification, characterization, and quantification owing to its ability to analyze intact proteoforms. In the past decade, top-down proteomics has been dominated by top-down data-dependent acquisition mass spectrometry (TD-DDA-MS), and top-down data-independent acquisition mass spectrometry (TD-DIA-MS) has not been well studied. While TD-DIA-MS produces complex multiplexed tandem mass spectrometry (MS/MS) spectra, which are challenging to confidently identify, it selects more precursor ions for MS/MS analysis and has the potential to increase proteoform identifications compared with TD-DDA-MS. Here we present TopDIA, the first software tool for proteoform identification by TD-DIA-MS. It generates demultiplexed pseudo MS/MS spectra from TD-DIA-MS data and then searches the pseudo MS/MS spectra against a protein sequence database for proteoform identification. We compared the performance of TD-DDA-MS and TD-DIA-MS using <i>Escherichia coli</i> K-12 MG1655 cells and demonstrated that TD-DIA-MS with TopDIA increased proteoform and protein identifications compared with TD-DDA-MS.

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Publication Details

Journal
Journal of Proteome Research
Published
2024-12-06
DOI
https://doi.org/10.1021/acs.jproteome.4c00293
Citations
5
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.20

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article

TopDIA: A Software Tool for Top-Down Data-Independent Acquisition Proteomics

Yong Zang, Tian Xu, Xingzhao Xiong, Liangliang Sun et al.
5 citations
Journal of Proteome Research
Advanced Proteomics Techniques and Applications
1.20
article

TopDIA: A Software Tool for Top-Down Data-Independent Acquisition Proteomics

Yong Zang, Tian Xu, Xingzhao Xiong, Liangliang Sun, Abdul Rehman Basharat, Xiaowen Liu
article en
5 citations

Abstract

Top-down mass spectrometry is widely used for proteoform identification, characterization, and quantification owing to its ability to analyze intact proteoforms. In the past decade, top-down proteomics has been dominated by top-down data-dependent acquisition mass spectrometry (TD-DDA-MS), and top-down data-independent acquisition mass spectrometry (TD-DIA-MS) has not been well studied. While TD-DIA-MS produces complex multiplexed tandem mass spectrometry (MS/MS) spectra, which are challenging to confidently identify, it selects more precursor ions for MS/MS analysis and has the potential to increase proteoform identifications compared with TD-DDA-MS. Here we present TopDIA, the first software tool for proteoform identification by TD-DIA-MS. It generates demultiplexed pseudo MS/MS spectra from TD-DIA-MS data and then searches the pseudo MS/MS spectra against a protein sequence database for proteoform identification. We compared the performance of TD-DDA-MS and TD-DIA-MS using <i>Escherichia coli</i> K-12 MG1655 cells and demonstrated that TD-DIA-MS with TopDIA increased proteoform and protein identifications compared with TD-DDA-MS.

Journal of Proteome ResearchVol. 24(1)
Tulane University (US), Cancer Research And Biostatistics (US), University School (US), Institute for Medical Informatics and Biostatistics (CH), Data Management (Italy) (IT), Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US), Indiana University (US), Michigan State University (US)
National Institutes of Health
Openalex Percentile: Top 22%
Advanced Proteomics Techniques and Applications
1.20
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