Spatial top-down proteomics for the functional characterization of human kidney

We developed an integrated workflow to directly identify proteoforms and reveal their spatial distributions. Of the 20 differentially abundant proteoforms identified as discriminate between tubules and glomeruli by microPOTS, the vast majority of tubular proteoforms were of mitochondrial origin (8 of 10) while discriminate proteoforms in glomeruli were primarily hemoglobin subunits (9 of 10). These trends were also identified within ion images demonstrating spatially resolved characterization of proteoforms that has the potential to reshape discovery-based proteomics because the proteoforms are the ultimate effector of cellular functions. Applications of this technology have the potential to unravel etiology and pathophysiology of disease states, informing on biologically active proteoforms, which remodel the proteomic landscape in chronic and acute disorders.

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Publication Details

Journal
Clinical Proteomics
Published
2025-03-05
DOI
https://doi.org/10.1186/s12014-025-09531-x
Citations
6
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
3.78

Funders

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article

Spatial top-down proteomics for the functional characterization of human kidney

Ying Zhu, James M. Fulcher, Dušan Veličković, Ronald Moore et al.
6 citations
Clinical Proteomics
Advanced Proteomics Techniques and Applications
3.78
article

Spatial top-down proteomics for the functional characterization of human kidney

Ying Zhu, James M. Fulcher, Dušan Veličković, Ronald Moore, Mowei Zhou, Yen‐Chen Liao, Marija Veličković, David J. Degnan, Ljiljana Paša‐Tolić, L.A. Lewis, Lisa Bramer, Rashmi Kumar, Kevin Zemaitis, Sarah Williams
article en
6 citations

Abstract

We developed an integrated workflow to directly identify proteoforms and reveal their spatial distributions. Of the 20 differentially abundant proteoforms identified as discriminate between tubules and glomeruli by microPOTS, the vast majority of tubular proteoforms were of mitochondrial origin (8 of 10) while discriminate proteoforms in glomeruli were primarily hemoglobin subunits (9 of 10). These trends were also identified within ion images demonstrating spatially resolved characterization of proteoforms that has the potential to reshape discovery-based proteomics because the proteoforms are the ultimate effector of cellular functions. Applications of this technology have the potential to unravel etiology and pathophysiology of disease states, informing on biologically active proteoforms, which remodel the proteomic landscape in chronic and acute disorders.

Clinical ProteomicsVol. 22(1)
Pacific Northwest National Laboratory (US), Environmental Molecular Sciences Laboratory (US), Genomic Health (United States) (US), Zhejiang University (CN)
U.S. Department of Energy, Vanderbilt University, Northwestern University, National Institutes of Health, Office of Science, Biological and Environmental Research, Pacific Northwest National Laboratory, Common Fund
Openalex Percentile: Top 7%
Advanced Proteomics Techniques and Applications
3.78
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