Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics

Circulating blood proteomics enables minimally invasive biomarker discovery. Nanoparticle-based circulating plasma proteomics studies have reported varying number of proteins (ca 2000-7000), but it remains unclear whether a higher protein number is more informative. Here, we first develop OmniProt-a silica-nanoparticle workflow optimized through a systematic evaluation of nanoparticle types and protein corona formation parameters. Next, we present an Astral spectral library for 10,109 protein groups. Using the Astral with 60 sample-per-day throughput, OmniProt identifies ca 3000 to 6000 protein groups from human plasma. Platelet/erythrocyte/coagulation-related contamination artificially inflates protein identifications and compromises quantification accuracy in nanoparticle-enriched samples. Through controlled contamination experiments, we identified biomarkers for platelet/erythrocyte/coagulation-related contamination in nanoparticle-based plasma proteomics. We developed open-access software Baize for contamination assessment. We validated the pipeline in 193 patients with CT-indistinct benign nodules or early-stage lung cancers, flagging five contaminated samples. This study reveals that contamination alters protein identification/quantification in nanoparticle-based plasma proteomics and presents Baize software to evaluate it.

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Publication Details

Journal
EMBO Molecular Medicine
Published
2025-12-05
DOI
https://doi.org/10.1038/s44321-025-00346-9
Citations
3
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
2.27
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article

Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics

Hui Xu, Tiannan Guo, Haiyan Cheng, Zhangzhi Xue et al.
3 citations
EMBO Molecular Medicine
Advanced Proteomics Techniques and Applications
2.27
article

Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics

Hui Xu, Tiannan Guo, Haiyan Cheng, Zhangzhi Xue, Yingjie Zheng, Yi Zhu, Yingrui Wang, Weigang Ge, Yuanqi Liu, Jiaxu Liu, Zan Nie, Liqin Qian, S. N. Ruan, Huiwen Miao, Zhiyi Zhu, Huanhuan Gao, Jikai Zhang, Yingying Sun, Lei Zhou, Y. H. Zhan, Dongyue Xun
article en
3 citations

Abstract

Circulating blood proteomics enables minimally invasive biomarker discovery. Nanoparticle-based circulating plasma proteomics studies have reported varying number of proteins (ca 2000-7000), but it remains unclear whether a higher protein number is more informative. Here, we first develop OmniProt-a silica-nanoparticle workflow optimized through a systematic evaluation of nanoparticle types and protein corona formation parameters. Next, we present an Astral spectral library for 10,109 protein groups. Using the Astral with 60 sample-per-day throughput, OmniProt identifies ca 3000 to 6000 protein groups from human plasma. Platelet/erythrocyte/coagulation-related contamination artificially inflates protein identifications and compromises quantification accuracy in nanoparticle-enriched samples. Through controlled contamination experiments, we identified biomarkers for platelet/erythrocyte/coagulation-related contamination in nanoparticle-based plasma proteomics. We developed open-access software Baize for contamination assessment. We validated the pipeline in 193 patients with CT-indistinct benign nodules or early-stage lung cancers, flagging five contaminated samples. This study reveals that contamination alters protein identification/quantification in nanoparticle-based plasma proteomics and presents Baize software to evaluate it.

EMBO Molecular MedicineVol. 18(1)
Nankai University (CN), Dalian University of Technology (CN), Westlake University (CN), Dalian University (CN), Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN), First Affiliated Hospital Zhejiang University (CN)
Openalex Percentile: Top 11%
Advanced Proteomics Techniques and Applications
2.27
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