ArticleAnalytical and bioanalytical chemistry2020
Automation and low-cost proteomics for characterization of the protein corona: experimental methods for big data.
Article in Analytical and bioanalytical chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
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The trial behind it
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Who cites it
9 citing papers in PubMed.
- Lipid adsorbed on the surface of nanomaterials enhances protein corona formation.Environmental science. Nano · 2026Article
- Modification of a Low-Cost Pipetting Robot for Nanoliter Liquid Handling and Autosampling for Liquid Chromatography-Mass Spectrometry.Journal of separation science · 2026Article
- Protein Corona as a Result of Interaction of Protein Molecules with Inorganic Nanoparticles.International journal of molecular sciences · 2025Review
- Interaction of TiOEnvironmental science. Nano · 2023Article
- Concentration and composition of the protein corona as a function of incubation time and serum concentration: an automated approach to the protein corona.Analytical and bioanalytical chemistry · 2022Article
- Supervised learning model predicts protein adsorption to carbon nanotubes.Science advances · 2022Article
- Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot.Journal of visualized experiments : JoVE · 2021Article
- Automation and data-driven design of polymer therapeutics.Advanced drug delivery reviews · 2021Review
- Comparison of Transparency and Shrinkage During Clearing of Insect Brains Using Media With Tunable Refractive Index.Frontiers in neuroanatomy · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Nanoparticles used in biological settings are exposed to proteins that adsorb on the surface forming a protein corona. These adsorbed proteins dictate the subsequent cellular response. A major challenge has been predicting what proteins will adsorb on a given nanoparticle surface. Instead, each new nanoparticle and nanoparticle modification must be tested experimentally to determine what proteins adsorb on the surface. We propose that any future predictive ability will depend on large datasets of protein-nanoparticle interactions. As a first step towards this goal, we have developed an automated workflow using a liquid handling robot to form and isolate protein coronas. As this workflow depends on magnetic separation steps, we test the ability to embed magnetic nanoparticles within a protein nanoparticle. These experiments demonstrate that magnetic separation could be used for any type of nanoparticle in which a magnetic core can be embedded. Higher-throughput corona characterization will also require lower-cost approaches to proteomics. We report a comparison of fast, low-cost, and standard, slower, higher-cost liquid chromatography coupled with mass spectrometry to identify the protein corona. These methods will provide a step forward in the acquisition of the large datasets necessary to predict nanoparticle-protein interactions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.