Integrated Top-Down Proteomics for Comprehensive Proteome Analysis at the Proteoform Level

Background: Proteoforms are the critical functional species that drive biological processes. However, conventional proteogenomic (“shotgun”) analyses discard relevant proteoform-level information through bulk protein digestion. This study presents a proof-of-principle integrative Top-Down Proteomics workflow designed to identify and characterise proteoforms across the breadth of a proteome. Methods: This workflow combined two-dimensional electrophoresis, a custom grid-cutting lattice for reproducible gel sectioning, in-gel digestion, liquid chromatography–tandem mass spectrometry, and open-search algorithms. Gel-grid locations, isoelectric points, and molecular weights were integrated with mass-spectrometry results to further characterise identified proteoforms. Results: The approach enabled identification of a broad range of proteoforms and their inherent post-translational modifications, including phosphorylation, acetylation, methylation, and glycosylation. Notably, substantial numbers of proteoforms were identified in visually “blank regions” of replicate two-dimensional gels. This eliminated bias associated with assessing only visually detectable protein spots and substantially expanded proteome-level proteoform detection and characterisation. Conclusions: This integrative workflow provides a reproducible and comprehensive strategy for addressing the often-overlooked complexity of proteomes at the proteoform level. By extending analysis beyond visually detectable gel spots, it enables deeper characterisation of proteoform diversity and associated post-translational modifications.

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Publication Details

Journal
Proteomes
Published
2026-10-09
DOI
https://doi.org/10.3390/proteomes14040053
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Integrated Top-Down Proteomics for Comprehensive Proteome Analysis at the Proteoform Level

Jens R. Coorssen, Matthew B. O’Rourke, Matthew Paul Padula, Breyer Woodland et al.
Proteomes
Advanced Proteomics Techniques and Applications
article

Integrated Top-Down Proteomics for Comprehensive Proteome Analysis at the Proteoform Level

Jens R. Coorssen, Matthew B. O’Rourke, Matthew Paul Padula, Breyer Woodland, Luke A. Farrell, Aiden Brennan
article en

Abstract

Background: Proteoforms are the critical functional species that drive biological processes. However, conventional proteogenomic (“shotgun”) analyses discard relevant proteoform-level information through bulk protein digestion. This study presents a proof-of-principle integrative Top-Down Proteomics workflow designed to identify and characterise proteoforms across the breadth of a proteome. Methods: This workflow combined two-dimensional electrophoresis, a custom grid-cutting lattice for reproducible gel sectioning, in-gel digestion, liquid chromatography–tandem mass spectrometry, and open-search algorithms. Gel-grid locations, isoelectric points, and molecular weights were integrated with mass-spectrometry results to further characterise identified proteoforms. Results: The approach enabled identification of a broad range of proteoforms and their inherent post-translational modifications, including phosphorylation, acetylation, methylation, and glycosylation. Notably, substantial numbers of proteoforms were identified in visually “blank regions” of replicate two-dimensional gels. This eliminated bias associated with assessing only visually detectable protein spots and substantially expanded proteome-level proteoform detection and characterisation. Conclusions: This integrative workflow provides a reproducible and comprehensive strategy for addressing the often-overlooked complexity of proteomes at the proteoform level. By extending analysis beyond visually detectable gel spots, it enables deeper characterisation of proteoform diversity and associated post-translational modifications.

ProteomesVol. 14(4)
University of Technology Sydney (AU), Institute for Globally Distributed Open Research and Education (SE)
Openalex Percentile: Top 28%
Advanced Proteomics Techniques and Applications
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