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Improved Cellular Specificity of Plasmonic Nanobubbles versus Nanoparticles in Heterogeneous Cell Systems

Overview of attention for article published in PLOS ONE, April 2012
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Title
Improved Cellular Specificity of Plasmonic Nanobubbles versus Nanoparticles in Heterogeneous Cell Systems
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034537
Pubmed ID
Authors

Ekaterina Y. Lukianova-Hleb, Xiaoyang Ren, Pamela E. Constantinou, Brian P. Danysh, Derek L. Shenefelt, Daniel D. Carson, Mary C. Farach-Carson, Vladimir A. Kulchitsky, Xiangwei Wu, Daniel S. Wagner, Dmitri O. Lapotko

Abstract

The limited specificity of nanoparticle (NP) uptake by target cells associated with a disease is one of the principal challenges of nanomedicine. Using the threshold mechanism of plasmonic nanobubble (PNB) generation and enhanced accumulation and clustering of gold nanoparticles in target cells, we increased the specificity of PNB generation and detection in target versus non-target cells by more than one order of magnitude compared to the specificity of NP uptake by the same cells. This improved cellular specificity of PNBs was demonstrated in six different cell models representing diverse molecular targets such as epidermal growth factor receptor, CD3 receptor, prostate specific membrane antigen and mucin molecule MUC1. Thus PNBs may be a universal method and nano-agent that overcome the problem of non-specific uptake of NPs by non-target cells and improve the specificity of NP-based diagnostics, therapeutics and theranostics at the cell level.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Germany 1 2%
Unknown 56 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 31%
Researcher 11 19%
Student > Master 6 10%
Professor > Associate Professor 4 7%
Professor 3 5%
Other 7 12%
Unknown 9 16%
Readers by discipline Count As %
Physics and Astronomy 9 16%
Chemistry 9 16%
Agricultural and Biological Sciences 7 12%
Engineering 7 12%
Materials Science 5 9%
Other 11 19%
Unknown 10 17%