QSample: An Automated System for Rapid Monitoring of Quality Indicators in Proteomics Samples

Mass 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.

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Publication Details

Journal
Journal of Proteome Research
Published
2025-08-19
DOI
https://doi.org/10.1021/acs.jproteome.5c00119
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

QSample: An Automated System for Rapid Monitoring of Quality Indicators in Proteomics Samples

Guadalupe Espadas, Marc Serret, Eduard Sabidó, Amanda Solé et al.
Journal of Proteome Research
Advanced Proteomics Techniques and Applications
article

QSample: An Automated System for Rapid Monitoring of Quality Indicators in Proteomics Samples

Guadalupe Espadas, Marc Serret, Eduard Sabidó, Amanda Solé, Olga Pastor, Julia Morales‐Sanfrutos, Cristina Chiva, Julia Ponomarenko, Roger Olivella, Antonio Hermoso, Eva Borràs
article en

Abstract

Mass 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.

Journal of Proteome ResearchVol. 24(9)
Universitat Pompeu Fabra (ES), Centre for Genomic Regulation (ES)
Centres de Recerca de Catalunya, Generalitat de Catalunya, Ministerio de Ciencia e Innovación, Agencia Estatal de Investigación
Industry, innovation and infrastructure
Openalex Percentile: Top 81%
Advanced Proteomics Techniques and Applications
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QSample: An Automated System for Rapid Monitoring of Quality Indicators in Proteomics Samples — Guadalupe Espadas, Marc Serret, et al. · Journal of Proteome Research (2025) | TGRS Research Map | TGRS