ArticleJournal of proteome research2025
Technical Evaluation of Plasma Proteomics Technologies.
Article in Journal of proteome research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
- Unbiased plasma proteomics reveals hemolysis during ADAMTS13 relapse in patients with immune TTP.Blood advances · 2026Article
- Assessing Extracellular Vesicle Proteins as Predictive Biomarkers for Developing Type 1 Diabetes.Proteomics · 2026Article
- Aptamer-Based Platforms for Human Aging Biomarkers: Multiplexed Proteomics, Biosensors and Translational Perspectives.International journal of molecular sciences · 2026Review
- Lung tumour secretome and extracellular vesicles: mechanisms, biomarkers, and therapeutic opportunities.Cancer metastasis reviews · 2026Review
- Nanoparticle-enriched mass spectrometry proteomics in British South Asians identifies links between genetic variants, plasma protein levels and disease risk.Nature genetics · 2026Article
- Longitudinal multiomics profiling of extracorporeal cross-circulation with pig liver xenografts in human decedents.Nature medicine · 2026Article
- Development and Validation of a Streamlined Workflow for Proteomic Analysis of Proteins and Post-translational Modifications from Dried Blood.Journal of proteome research · 2026Article
- Leveraging nanoparticle protein corona to advance plasma proteome profiling.Nature communications · 2026Review
- Systematic Evaluation of Depletion and Enrichment Technologies for Platelet-Free Plasma Proteomics.Journal of proteome research · 2026Article
- Benchmarking Plasma Proteomics Workflows and Their Correlation to Clinical Routine Protein Assays.Journal of proteome research · 2026Article
- Method Evaluation of Liquid Biopsy Proteomics for Limited Plasma Volume.Molecular & cellular proteomics : MCP · 2026Article
- Automatic Blood Protein Enrichment by Magnetic-COF Polymers.Analytical chemistry · 2026Article
- Machine learning integrated extracellular vesicle proteome analysis for early markers of bronchopulmonary dysplasia.Function (Oxford, England) · 2026Article
- Blood proteomics: insights from public data.Genome biology · 2026Review
- Identification of putative kidney-derived proteins in plasma using nanoparticle enrichment.Molecular omics · 2026Article
- Proteomic and Lipidomic Atlas of Gut-Associated Lymph and Venous Depots in Female Piglets.Arteriosclerosis, thrombosis, and vascular biology · 2026Article
- Harnessing New Tools for Old Challenges: Optimising Neat Plasma Proteomics with Automation and Gas-Phase Fractionation.ACS measurement science au · 2026Article
- Shake and bake: a robust and cost-effective proteomic sample preparation workflow for plasma and cerebrospinal fluid.Clinical proteomics · 2026Article
- Automated Mag-Net Enrichment Unlocks Deep and Cost-Effective LC-MS Plasma Proteomics.Journal of proteome research · 2026Article
- Profiling Glycoproteins Enriched by Multinanoparticle Protein Corona.Analytical chemistry · 2026Article
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Abstract
Plasma proteomics technologies are rapidly evolving and of critical importance to the field of biomedical research. Here, we report a technical evaluation of six notable plasma proteomics technologies─unenriched (Neat), acid depletion, PreOmics ENRICHplus, Mag-Net, Seer Proteograph XT, and Olink Explore HT. The methods were compared on proteomic depth, reproducibility, linearity, tolerance to lipid interference, and limit of detection/quantification. In total, we performed 618 LC-MS/MS experiments and 93 Olink Explore HT assays. The Seer method achieved the greatest proteomic depth (∼4500 proteins detected), while Olink detected ∼2600 proteins. Other MS-based methods ranged from ∼500-2200 proteins detected. In our analysis, Neat, Mag-Net, Seer, and Olink had good reproducibility, while PreOmics and Acid had higher variability (>20% median coefficient of variation). All MS methods showed good linearity with spiked-in C-reactive protein (CRP); CRP was surprisingly not in the Olink assay. None of the methods were affected by lipid interference. Seer produced the highest number of quantifiable proteins with a measurable LOD (4407) and LOQ (2696). Olink had the next highest number of quantifiable proteins, with 2002 having an LOD and 1883 having an LOQ. Finally, we tested the applicability of these methods for detecting differences between healthy and cancer groups in a nonsmall cell lung cancer (NSCLC) cohort. All six methods detected differentially abundant proteins between the cancer and healthy samples but disagreed on which proteins were significant, highlighting the contrast between each method.
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