Benchmark for Quantitative Global and Redox Proteomics Analysis by Combining Protein-Aggregation Capture and Data Independent Acquisition

Oxidative damage plays a critical role in various diseases including cardiovascular and neurological disorders. Thiol redox reactions, acting as oxidative stress sensors, influence protein structure and function. Redox proteomics, based on the differential alkylation of cysteine sites followed by mass spectrometry, enables the comprehensive analysis of thiol redox status in cells and tissues. However, these approaches require extensive sample manipulation and are not compatible with data-independent acquisition techniques. Here, we introduce PACREDOX, an innovative strategy based on protein aggregation capture (PAC), and demonstrate its compatibility with library-free DIA. Compared with traditional methods such as FASILOX, PACREDOX reduces preparation time and costs while maintaining thiol and proteome coverage. To enable library-free DIA, we corrected <i>in silico</i> spectral libraries in DIA-NN using experimental retention time data from methylthiolated-Cys peptides. PACREDOX with DIA was benchmarked against FASILOX in a myocardial infarction model, yielding the same biological insights, while enhancing peptide and protein coverage. Our results underscore the potential and efficiency of this methodology for studying oxidative damage. Overall, PACREDOX offers an automatable, high-throughput, and cost-effective strategy for redox proteomics.

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Publication Details

Journal
Analytical Chemistry
Published
2025-09-03
DOI
https://doi.org/10.1021/acs.analchem.5c03294
Citations
2
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.51
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article

Benchmark for Quantitative Global and Redox Proteomics Analysis by Combining Protein-Aggregation Capture and Data Independent Acquisition

Carlos Galán‐Arriola, Rodrigo Fernández‐Jiménez, Borja Ibáñez, Ana Simón-Chica et al.
2 citations
Analytical Chemistry
Advanced Proteomics Techniques and Applications
1.51
article

Benchmark for Quantitative Global and Redox Proteomics Analysis by Combining Protein-Aggregation Capture and Data Independent Acquisition

Carlos Galán‐Arriola, Rodrigo Fernández‐Jiménez, Borja Ibáñez, Ana Simón-Chica, Estefanía Núñez, Marinela Couselo‐Seijas, Inmaculada Jorge, Ana Martínez‐Val, Ignacio Sacaluga Rodríguez, David Filgueiras‐Rama, Jesús Vázquez, Samuel Lozano-Juárez, Jorge Lumbreras Burgueño
article en
2 citations

Abstract

Oxidative damage plays a critical role in various diseases including cardiovascular and neurological disorders. Thiol redox reactions, acting as oxidative stress sensors, influence protein structure and function. Redox proteomics, based on the differential alkylation of cysteine sites followed by mass spectrometry, enables the comprehensive analysis of thiol redox status in cells and tissues. However, these approaches require extensive sample manipulation and are not compatible with data-independent acquisition techniques. Here, we introduce PACREDOX, an innovative strategy based on protein aggregation capture (PAC), and demonstrate its compatibility with library-free DIA. Compared with traditional methods such as FASILOX, PACREDOX reduces preparation time and costs while maintaining thiol and proteome coverage. To enable library-free DIA, we corrected <i>in silico</i> spectral libraries in DIA-NN using experimental retention time data from methylthiolated-Cys peptides. PACREDOX with DIA was benchmarked against FASILOX in a myocardial infarction model, yielding the same biological insights, while enhancing peptide and protein coverage. Our results underscore the potential and efficiency of this methodology for studying oxidative damage. Overall, PACREDOX offers an automatable, high-throughput, and cost-effective strategy for redox proteomics.

Analytical ChemistryVol. 97(36)
Spanish National Centre for Cardiovascular Research (ES), Hospital Clínico San Carlos (ES), Centro de Investigación en Red en Enfermedades Cardiovasculares (ES), Abterra Biosciences (United States) (US), Instituto de Investigación Sanitaria del Hospital Clínico San Carlos (ES), Centro de Investigación Biomédica en Red (ES), Laboratoire d’Imagerie Biomédicale (FR), Hospital Universitario Fundación Jiménez Díaz (ES), Spanish National Centre for Cardiovascular Research (ES), Center for Translational Molecular Medicine (NL), Institute of Cardiology (PL), Laboratory Imaging (Czechia) (CZ)
Openalex Percentile: Top 16%
Advanced Proteomics Techniques and Applications
1.51
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