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TopDIA: A Software Tool for Top-Down Data-Independent Acquisition Proteomics.
Basharat, Abdul Rehman; Xiong, Xingzhao; Xu, Tian; Zang, Yong; Sun, Liangliang; Liu, Xiaowen.
Affiliation
  • Basharat AR; Department of BioHealth Informatics, Luddy School of Informatics, Computing, and Engineering, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202, USA.
  • Xiong X; Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
  • Xu T; Department of Chemistry, Michigan State University, East Lansing, MI, 48824, USA.
  • Zang Y; Department of Biostatistics and Health Data Sciences, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
  • Sun L; Department of Chemistry, Michigan State University, East Lansing, MI, 48824, USA.
  • Liu X; Deming Department of Medicine, Tulane University School of Medicine, New Orleans, LA, 70112, USA.
bioRxiv ; 2024 Apr 09.
Article in En | MEDLINE | ID: mdl-38645171
ABSTRACT
Top-down mass spectrometry is widely used for proteoform identification, characterization, and quantification owing to its ability to analyze intact proteoforms. In the last 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 Escherichia coli K-12 MG1655 cells and demonstrated that TD-DIA-MS with TopDIA increased proteoform and protein identifications compared with TD-DDA-MS.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2024 Document type: Article Affiliation country: