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Plasma protein binding of positively and negatively charged polymer-coated gold nanoparticles elicits different biological responses

Overview of attention for article published in Nanotoxicology, March 2012
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Title
Plasma protein binding of positively and negatively charged polymer-coated gold nanoparticles elicits different biological responses
Published in
Nanotoxicology, March 2012
DOI 10.3109/17435390.2012.655342
Pubmed ID
Authors

Zhou J. Deng, Mingtao Liang, Istvan Toth, Michael Monteiro, Rodney F. Minchin

Abstract

The binding of proteins to nanoparticles is an important event that can determine the biological effect of nanoparticles in the body. We examined plasma protein binding to gold nanoparticles (5-20 nm) with different surface charge. Positively and negatively charged nanoparticles bound a range of proteins whereas neutral nanoparticle bound very little. As little as 25% neutral polymer on the surface of the charged nanoparticles inhibited protein binding, with only slight change in surface charge. Fibrinogen bound with high affinity to both of the charged nanoparticles. However, binding kinetics and protease digestion suggested that the binding orientation for each nanoparticle was different. Only the negatively charged nanoparticles induced cytokine release from THP-1 cells. While common proteins can bind to different nanoparticles, the biological outcome may not be the same. Consequently, knowledge about the composition of the protein corona is not sufficient to predict biological effects of nanoparticles.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 <1%
Germany 1 <1%
Italy 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Canada 1 <1%
Saudi Arabia 1 <1%
Russia 1 <1%
Spain 1 <1%
Other 0 0%
Unknown 104 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 40 35%
Student > Master 16 14%
Researcher 13 12%
Student > Bachelor 7 6%
Student > Doctoral Student 5 4%
Other 12 11%
Unknown 20 18%
Readers by discipline Count As %
Chemistry 24 21%
Agricultural and Biological Sciences 19 17%
Biochemistry, Genetics and Molecular Biology 9 8%
Engineering 7 6%
Medicine and Dentistry 5 4%
Other 20 18%
Unknown 29 26%