Olivella, RogerChiva, CristinaSerret, MarcHermoso Pulido, AntonioBorràs, EvaEspadas, GuadalupeMorales Sanfrutos, JuliaPastor, OlgaSolé, AmandaPonomarenko, JuliaSabidó Aguadé, Eduard, 1981-2025-10-152025-10-152025Olivella R, Chiva C, Serret M, Hermoso A, Borràs E, Espadas G, et al. QSample: an automated system for rapid monitoring of quality indicators in proteomics samples. J Proteome Res. 2025 Sep 5;24(9):4816-24. DOI: 10.1021/acs.jproteome.5c001191535-3893http://hdl.handle.net/10230/71516Mass spectrometry-based proteomics is an essential technique in contemporary biomedicine, offering quantitative, sensitive, and rapid analysis of proteomes. Recent advancements in mass spectrometry have enabled the acquisition of data from increasingly large-scale experiments, often conducted in core facilities and research infrastructures. While automated tools exist to assess instrument performance using predefined control samples, the analysis of experimental samples typically occurs postacquisition, which can delay decision-making and lead to potential data integrity issues. To address these challenges, we developed QSample, an open-source automated system for rapidly monitoring quality indicators in proteomics samples during data collection. QSample enhances the quality control framework by facilitating prompt actions and fast decision-making, ensuring that proteomics core facilities deliver data that adhere to best research practices.application/pdfengCopyright © 2025 The Authors. Published by American Chemical Society. This publication is licensed under CC-BY 4.0 (http://creativecommons.org/licenses/by/4.0/).info:eu-repo/semantics/articlehttp://dx.doi.org/10.1021/acs.jproteome.5c00119AutomationData analysisMass spectrometryNextflowWeb applicationinfo:eu-repo/semantics/openAccess