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Cited by 378

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Cellular uptake and toxicity of gold nanoparticles in prostate cancer cells: a comparative study of rods and spheres

Open access
Arnida, Malugin, Alexander, Ghandehari, Hamidreza·2010·Journal of Applied Toxicology

Abstract

Using a series of gold nanoparticles with incremental increase in dimensions but varying geometries (spherical vs rods) we have evaluated the influence of shape, size, surface properties and concentration on cellular uptake, adsorption of proteins and toxicity in a human prostate cancer cell line (PC‐3). In the range of 30–90 nm diameter studied, spherical particles of 50 nm in diameter without polyethylene glycol (PEG) had the highest uptake. Surface attachment of PEG reduced cellular uptake. PEGylated gold nanorods had a net positive charge compared with their spherical counterparts and particle geometry influenced cellular uptake. In the absence of serum proteins the uptake of plain spherical GNPs increased. These studies pave the way for the tailoring of gold nanoparticles for targeted tumor therapy applications. Copyright © 2009 John Wiley & Sons, Ltd.

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Crossref · 10.1002/jat.1486

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Metadata

Authors
Arnida, Malugin, A., & Ghandehari, H.
Venue
Journal of Applied Toxicology
Publisher
Wiley
Published
2009-11-09
Volume
30
Issue
3
Pages
212-217
ISSN
  • 0260-437X (ISSN-L)
  • 1099-1263
OpenAlex
W2075832148
Cited by
378
References
3
FWCI
9.57
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Cellular uptake and toxicity of gold nanoparticles in prostate cancer cells: a comparative study of rods and spheres. https://app.cochat.ai/papers/10.1002/jat.1486
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Arnida, Malugin, A., & Ghandehari, H. (2010). Cellular uptake and toxicity of gold nanoparticles in prostate cancer cells: a comparative study of rods and spheres. Journal of Applied Toxicology. https://doi.org/10.1002/jat.1486

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.