ArticleJournal of pharmaceutical analysis2022
A highly efficient protein corona-based proteomic analysis strategy for the discovery of pharmacodynamic biomarkers.
Article in Journal of pharmaceutical analysis, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Deferoxamine-coated mesoporous silica nanoparticles sustainably reduce iron overload in HepG2 cells. A protein corona study on plasma from hemochromatotic mice.Drug delivery and translational research · 2026Article
- Melatonin targets mitochondrial trifunctional enzyme HADHA to improve lipid metabolism in metabolic dysfunction-associated steatotic liver disease.Molecular biomedicine · 2026Article
- The Challenges and Opportunities of Protein Coronas for Nanoscale Biomolecular Sensing.Small (Weinheim an der Bergstrasse, Germany) · 2025Review
- Deep and Quantitative Proteomic Profiling of Low Volume Mouse Serum Across the Lifespan.Research square · 2025Article
- Advanced N-glycoproteomics and proteomics approach revealed sexually dimorphic molecular signatures in primary mouse hepatocyte.Analytical and bioanalytical chemistry · 2025Article
- LcProt: Proteomics-based identification of plasma biomarkers for lung cancer multievent, a multicentre study.Clinical and translational medicine · 2025Article
- Small molecule modulation of protein corona for deep plasma proteome profiling.Nature communications · 2024Article
- Mechanisms of extracellular vesicle uptake and implications for the design of cancer therapeutics.Journal of extracellular biology · 2024Review
- Deep Plasma Proteome Profiling by Modulating Single Nanoparticle Protein Corona with Small Molecules.bioRxiv : the preprint server for biology · 2024Article
- The development of a novel zeolite-based assay for efficient and deep plasma proteomic profiling.Journal of nanobiotechnology · 2024Article
- Proteome Analysis of Serum Purified UsingInternational journal of molecular sciences · 2024Article
- Comparative time-dependent proteomics reveal the tolerance of cancer cells to magnetic iron oxide nanoparticles.Regenerative biomaterials · 2024Article
- Design and Application of pH-Responsive Liposomes for Site-Specific Delivery of Cytotoxin fromInternational journal of nanomedicine · 2024Article
- Article
- MS Identification of Blood Plasma Proteins Concentrated on a Photocrosslinker-Modified Surface.International journal of molecular sciences · 2023Article
- Identification and functional analysis of senescent cells in the cardiovascular system using omics approaches.American journal of physiology. Heart and circulatory physiology · 2023Review
- Real-Time Optical Tracking of Protein Corona Formation on Single Nanoparticles in Serum.ACS nano · 2023Article
- Translating Senotherapeutic Interventions into the Clinic with Emerging Proteomic Technologies.Biology · 2023Review
- Ginsenoside Rk3 is a novel PI3K/AKT-targeting therapeutics agent that regulates autophagy and apoptosis in hepatocellular carcinoma.Journal of pharmaceutical analysis · 2023Article
- Comprehensive and deep profiling of the plasma proteome with protein corona on zeolite NaY.Journal of pharmaceutical analysis · 2023Article
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Authors and funding
18 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The composition of serum is extremely complex, which complicates the discovery of new pharmacodynamic biomarkers via serum proteome for disease prediction and diagnosis. Recently, nanoparticles have been reported to efficiently reduce the proportion of high-abundance proteins and enrich low-abundance proteins in serum. Here, we synthesized a silica-coated iron oxide nanoparticle and developed a highly efficient and reproducible protein corona (PC)-based proteomic analysis strategy to improve the range of serum proteomic analysis. We identified 1,070 proteins with a median coefficient of variation of 12.56% using PC-based proteomic analysis, which was twice the number of proteins identified by direct digestion. There were also more biological processes enriched with these proteins. We applied this strategy to identify more pharmacodynamic biomarkers on collagen-induced arthritis (CIA) rat model treated with methotrexate (MTX). The bioinformatic results indicated that 485 differentially expressed proteins (DEPs) were found in CIA rats, of which 323 DEPs recovered to near normal levels after treatment with MTX. This strategy can not only help enhance our understanding of the mechanisms of disease and drug action through serum proteomics studies, but also provide more pharmacodynamic biomarkers for disease prediction, diagnosis, and treatment.
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