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Automation and low-cost proteomics for characterization of the protein corona: experimental methods for big data.

Publication ,  Journal Article
Poulsen, KM; Pho, T; Champion, JA; Payne, CK
Published in: Analytical and bioanalytical chemistry
September 2020

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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Published In

Analytical and bioanalytical chemistry

DOI

EISSN

1618-2650

ISSN

1618-2642

Publication Date

September 2020

Volume

412

Issue

24

Start / End Page

6543 / 6551

Related Subject Headings

  • Proteomics
  • Protein Corona
  • Ovalbumin
  • Nanoparticles
  • Humans
  • Cattle
  • Big Data
  • Animals
  • Analytical Chemistry
  • 40 Engineering
 

Citation

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ICMJE
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Poulsen, K. M., Pho, T., Champion, J. A., & Payne, C. K. (2020). Automation and low-cost proteomics for characterization of the protein corona: experimental methods for big data. Analytical and Bioanalytical Chemistry, 412(24), 6543–6551. https://doi.org/10.1007/s00216-020-02726-1
Poulsen, Karsten M., Thomas Pho, Julie A. Champion, and Christine K. Payne. “Automation and low-cost proteomics for characterization of the protein corona: experimental methods for big data.Analytical and Bioanalytical Chemistry 412, no. 24 (September 2020): 6543–51. https://doi.org/10.1007/s00216-020-02726-1.
Poulsen KM, Pho T, Champion JA, Payne CK. Automation and low-cost proteomics for characterization of the protein corona: experimental methods for big data. Analytical and bioanalytical chemistry. 2020 Sep;412(24):6543–51.
Poulsen, Karsten M., et al. “Automation and low-cost proteomics for characterization of the protein corona: experimental methods for big data.Analytical and Bioanalytical Chemistry, vol. 412, no. 24, Sept. 2020, pp. 6543–51. Epmc, doi:10.1007/s00216-020-02726-1.
Poulsen KM, Pho T, Champion JA, Payne CK. Automation and low-cost proteomics for characterization of the protein corona: experimental methods for big data. Analytical and bioanalytical chemistry. 2020 Sep;412(24):6543–6551.
Journal cover image

Published In

Analytical and bioanalytical chemistry

DOI

EISSN

1618-2650

ISSN

1618-2642

Publication Date

September 2020

Volume

412

Issue

24

Start / End Page

6543 / 6551

Related Subject Headings

  • Proteomics
  • Protein Corona
  • Ovalbumin
  • Nanoparticles
  • Humans
  • Cattle
  • Big Data
  • Animals
  • Analytical Chemistry
  • 40 Engineering