Blood proteomics: insights from public data

The circulating blood proteome comprises soluble and cellular components that reflect physiological and pathological states across tissues. Advances in mass spectrometry and affinity-based proteomics have improved sensitivity and throughput, enabling the generation of public blood proteomics resources. However, comprehensive assessments of these datasets remain limited. This work reviews the cellular and molecular complexity of publicly available blood proteomics data, recent methodological developments, and the complementarity of diverse data sources across the abundance range, while outlining remaining challenges for translating blood proteomics into personalized medicine.

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Publication Details

Journal
Genome biology
Published
2026-03-12
DOI
https://doi.org/10.1186/s13059-026-04027-9
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Blood proteomics: insights from public data

Laura F. Dagley, Richard D. Unwin, Benjamin A. Neely, Alexandra Naba et al.
Genome biology
Advanced Proteomics Techniques and Applications
article

Blood proteomics: insights from public data

Laura F. Dagley, Richard D. Unwin, Benjamin A. Neely, Alexandra Naba, Alejandro J. Brenes, A. Larrea, Philipp E. Geyer, Kathrin Korff, Chengxin Dai, Tiannan Guo, Jochen M. Schwenk, Yasset Perez-Riverol, Michael J. MacCoss, Cesar Martin, Eric W. Deutsch
article en

Abstract

The circulating blood proteome comprises soluble and cellular components that reflect physiological and pathological states across tissues. Advances in mass spectrometry and affinity-based proteomics have improved sensitivity and throughput, enabling the generation of public blood proteomics resources. However, comprehensive assessments of these datasets remain limited. This work reviews the cellular and molecular complexity of publicly available blood proteomics data, recent methodological developments, and the complementarity of diverse data sources across the abundance range, while outlining remaining challenges for translating blood proteomics into personalized medicine.

Genome biologyVol. 27(1)
European Bioinformatics Institute (GB), University of Illinois Urbana-Champaign (US), The University of Melbourne (AU), University of the Basque Country (ES), Walter and Eliza Hall Institute of Medical Research (AU), University of Washington (US), College of Charleston (US), University of Manchester (GB), Institute for Systems Biology (US), University of Illinois Chicago (US), Guangdong Academy of Sciences (CN), NCCOS Hollings Marine Laboratory (US), Fundación Biofísica Bizkaia (ES), Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN), Beijing Proteome Research Center (CN), Max Planck Institute of Biochemistry (DE), Centre for Inflammation Research (GB), KTH Royal Institute of Technology (SE), Wellcome Trust (GB), University of Edinburgh (GB)
National Institute of Standards and Technology
Openalex Percentile: Top 26%
Advanced Proteomics Techniques and Applications
DOIOpen Access PDFOpenAlex
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