ArticleJournal of nanobiotechnology2024
The development of a novel zeolite-based assay for efficient and deep plasma proteomic profiling.
Article in Journal of nanobiotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 8 citations in OpenAlex.
- Multi-region proteomic mapping identifies FTL1 and SERPINA3K as protective factors in cardiac aging.Cell death & disease · 2026Article
- Systematic evaluation of blood contamination in nanoparticle-based plasma proteomics.EMBO molecular medicine · 2026Article
- The Challenges and Opportunities of Protein Coronas for Nanoscale Biomolecular Sensing.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
- Blood biomarkers of hepatocellular carcinoma: a critical review.Frontiers in cell and developmental biology · 2024Review
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Authors and funding
19 authors at 5 institutions in 1 country.
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Abstract
Plasma proteins are considered the most informative source of biomarkers for disease diagnosis and monitoring. Mass spectrometry (MS)-based proteomics has been applied to identify biomarkers in plasma, but the complexity of the plasma proteome and the extremely large dynamic range of protein abundances in plasma make the clinical application of plasma proteomics highly challenging. We designed and synthesized zeolite-based nanoparticles to deplete high-abundance plasma proteins. The resulting novel plasma proteomic assay can measure approximately 3000 plasma proteins in a 45 min chromatographic gradient. Compared to those in neat and depleted plasma, the plasma proteins identified by our assay exhibited distinct biological profiles, as validated in several public datasets. A pilot investigation of the proteomic profile of a hepatocellular carcinoma (HCC) cohort identified 15 promising protein features, highlighting the diagnostic value of the plasma proteome in distinguishing individuals with and without HCC. Furthermore, this assay can be easily integrated with all current downstream protein profiling methods and potentially extended to other biofluids. In conclusion, we established a robust and efficient plasma proteomic assay with unprecedented identification depth, paving the way for the translation of plasma proteomics into clinical applications.
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Registered trials
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