Software-Assisted Data Processing Workflow for Intact Glycoprotein Mass Spectrometry

Alan B Moran, Elena Domínguez-Vega, Manfred Wuhrer, Guinevere S M Lageveen-Kammeijer*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Intact protein analysis by mass spectrometry is important for several applications such as assessing post-translational modifications and biotransformation. In particular, intact protein analysis allows the detection of proteoforms that are commonly missed by other approaches such as proteolytic digestion followed by bottom-up analysis. Two quantification methods are mainly used for intact protein data quantification, namely the extracted ion and deconvolution approaches. However, a consensus with regard to a single best practice for intact protein data processing is lacking. Furthermore, many data processing tools are not fit-for-purpose and, as a result, the analysis of intact proteins is laborious and lacks the throughput required to be implemented for the analysis of clinical cohorts. Therefore, in this study, we investigated the application of a software-assisted data analysis and processing workflow in order to streamline intact protein integration, annotation, and quantification via deconvolution. In addition, the assessment of orthogonal data sets generated via middle-up and bottom-up analysis enabled the cross-validation of cleavage proteoform assignments present in seminal prostate-specific antigen (PSA). Furthermore, deconvolution quantification of PSA from patients' urine revealed results that were comparable with manually performed quantification based on extracted ion electropherograms. Overall, the presented workflow allows fast and efficient processing of intact protein data. The raw data is available on MassIVE using the identifier MSV000086699.

Original languageEnglish
Pages (from-to)1367-1376
Number of pages10
JournalJournal of Proteome Research
Volume22
Issue number4
DOIs
Publication statusPublished - 7-Apr-2023

Keywords

  • Humans
  • Male
  • Prostate-Specific Antigen
  • Workflow
  • Software
  • Mass Spectrometry
  • Protein Processing, Post-Translational
  • Glycoproteins

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