2026-05-17T00:18:24Zhttps://repisalud.isciii.es/rest/oai/requestoai:repisalud.isciii.es:20.500.12105/270292025-12-18T12:57:38Zcom_20.500.12105_19586com_20.500.12105_2202col_20.500.12105_19587
Repisalud
author
Martinez-Val, Ana
author
Lozano-Juárez, Samuel
author
Lumbreras Burgueño, Jorge
author
Rodríguez, Irene
author
Couselo-Seijas, Marinela
author
Simón-Chica, Ana
author
Galán-Arriola, Carlos
author
Fernández-Jiménez, Rodrigo
author
Núñez, Estefanía
author
Jorge, Inmaculada
author
Filgueiras-Rama, David
author
Ibáñez, Borja
author
Vázquez, Jesús
2025-12-15T15:20:41Z
2025-12-15T15:20:41Z
2025-09-16
Anal Chem. 2025 Sep 16;97(36):19730-19741.
ANALYTICAL CHEMISTRY
40902998
https://hdl.handle.net/20.500.12105/27029
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 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.
eng
Benchmark for Quantitative Global and Redox Proteomics Analysis by Combining Protein-Aggregation Capture and Data Independent Acquisition.
research article
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URL
https://repisalud.isciii.es/bitstreams/56c2e2b1-e887-4619-a6c0-b07ff286ce1b/download
File
MD5
e402e508ce0aade03425b23f8059b912
2419123
application/pdf
Benchmark for quantitative global_Anal Chem_2025.pdf