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Differential Uptake of Functionalized Polystyrene Nanoparticles by Human Macrophages and a Monocytic Cell Line
Abstract
Tumor cell lines are often used as models for the study of nanoparticle-cell interactions. Here we demonstrate that carboxy (PS-COOH) and amino functionalized (PS-NH2) polystyrene nanoparticles of ∼100 nm in diameter are internalized by human macrophages, by undifferentiated and by PMA-differentiated monocytic THP-1 cells via diverse mechanisms. The uptake mechanisms also differed for all cell types and particles when analyzed either in buffer or in medium containing human serum. Macrophages internalized ∼4 times more PS-COOH than THP-1 cells, when analyzed in serum-containing medium. By contrast, in either medium, THP-1 cells internalized PS-NH2 more rapidly than macrophages. Using pharmacological and antisense in vitro knockdown approaches, we showed that, in the presence of serum, the specific interaction between the CD64 receptor and the particles determines the macrophage uptake of particles by phagocytosis, whereas particle internalization in THP-1 cells occurred via dynamin II-dependent endocytosis. PMA-differentiated THP-1 cells differed in their uptake mechanism from macrophages and undifferentiated THP-1 cells by internalizing the particles via macropinocytosis. In line with our in vitro data, more intravenously applied PS-COOH particles accumulated in the liver, where macrophages of the reticuloendothelial system reside. By contrast, PS-NH2 particles were preferentially targeted to tumor xenografts grown on the chorioallantoic membrane of fertilized chicken eggs. Our data show that the amount of internalized nanoparticles, the uptake kinetics, and its mechanism may differ considerably between primary cells and a related tumor cell line, whether differentiated or not, and that particle uptake by these cells is critically dependent on particle opsonization by serum proteins.
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Cites
Mfold web server for nucleic acid folding and hybridization prediction
Zuker, M. (2003) · Nucleic Acids Research · doi:10.1093/nar/gkg595 · Cited by 13,404
Exploring the full spectrum of macrophage activation
Mosser, D. M., & Edwards, J. P. (2008) · Nature Reviews Immunology · doi:10.1038/nri2448 · Cited by 9,144
Nanomedicine: current status and future prospects
Moghimi, S. M., Hunter, A. C., & Murray, J. C. (2005) · The FASEB Journal · doi:10.1096/fj.04-2747rev · Cited by 2,029
Immunological properties of engineered nanomaterials
Dobrovolskaia, M. A., & McNeil, S. E. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.223 · Cited by 1,823
Shaping cups into phagosomes and macropinosomes
Swanson, J. A. (2008) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2447 · Cited by 941
Lim, Y.-B., Kim, S.-M., Lee, Y., Lee, W.-K., Yang, T.-G., Lee, M.-J., Suh, H., & Park, J.-S. (2001) · Journal of the American Chemical Society · doi:10.1021/ja005715g · Cited by 138
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Monopoli, M. P., Åberg, C., Salvati, A., & Dawson, K. A. (2012) · Nature Nanotechnology · doi:10.1038/nnano.2012.207 · Cited by 3,017
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Tenzer, S., Docter, D., Kuharev, J., Musyanovych, A., Fetz, V., Hecht, R., Schlenk, F., Fischer, D., Kiouptsi, K., Reinhardt, C., et al. (2013) · Nature Nanotechnology · doi:10.1038/nnano.2013.181 · Cited by 2,283
Self-citationWalkey, C. D., & Chan, W. C. W. (2012) · Chem. Soc. Rev. · doi:10.1039/c1cs15233e · Cited by 1,758
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Shang, L., Nienhaus, K., & Nienhaus, G. U. (2014) · Journal of Nanobiotechnology · doi:10.1186/1477-3155-12-5 · Cited by 1,316
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Lesniak, A., Fenaroli, F., Monopoli, M. P., Åberg, C., Dawson, K. A., & Salvati, A. (2012) · ACS Nano · doi:10.1021/nn300223w · Cited by 1,020
Xu, M., Halimu, G., Zhang, Q., Song, Y., Fu, X., Li, Y., Li, Y., & Zhang, H. (2019) · Science of The Total Environment · doi:10.1016/j.scitotenv.2019.133794 · Cited by 659
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Liu, Y., Hardie, J., Zhang, X., & Rotello, V. M. (2017) · Seminars in Immunology · doi:10.1016/j.smim.2017.09.011 · Cited by 315
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Li, H., Wang, Y., Tang, Q., Yin, D., Tang, C., He, E., Zou, L., & Peng, Q. (2021) · Acta Biomaterialia · doi:10.1016/j.actbio.2021.05.019 · Cited by 265
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Han, H., Yin, Q., Tang, X., Yu, X., Gao, Q., Tang, Y., Grzybowski, A., Yao, K., Ji, J., & Shentu, X. (2020) · Journal of Materials Chemistry B · doi:10.1039/d0tb00874e · Cited by 53
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Zulliger, R., Conley, S. M., & Naash, M. I. (2015) · Journal of Controlled Release · doi:10.1016/j.jconrel.2015.10.007 · Cited by 50
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Kang, T., Park, C., & Lee, B.-J. (2016) · Archives of Pharmacal Research · doi:10.1007/s12272-016-0847-0 · Cited by 35
Metadata
- Authors
- Lunov, O., Syrovets, T., Loos, C., Beil, J., Delacher, M., Tron, K., Nienhaus, G. U., Musyanovych, A., Mailänder, V., Landfester, K., & Simmet, T.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-02-23
- Volume
- 5
- Issue
- 3
- Pages
- 1657-1669
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2025868400
- Cited by
- 600
- References
- 6
- FWCI
- 15.31
- Type
- journal article
- Language
- en
- Open access
- closed
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