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Technical Evaluation of Plasma Proteomics Technologies

Title: Technical Evaluation of Plasma Proteomics Technologies
Authors: Beimers, William F.; Overmyer, Katherine A.; Sinitcyn, Pavel; Lancaster, Noah M.; Quarmby, Scott T.; Coon, Joshua J.; Sub AI Technology for Life
Publication Year: 2025
Subject Terms: LC-MS; Mag-Net; mass spectrometry; method comparison; Olink; plasma; PreOmics; proteomics; Seer; General Chemistry; Biochemistry; SDG 3 - Good Health and Well-being
Description: 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.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
ISSN: 1535-3893
Relation: https://dspace.library.uu.nl/handle/1874/477038
Availability: https://dspace.library.uu.nl/handle/1874/477038
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.3348533A
Database: BASE