The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Enhanced Retention and Cellular Uptake of Nanoparticles in Tumors by Controlling Their Aggregation Behavior
Abstract
Effective accumulation of nanoparticles (NPs) in tumors is crucial for NP-assisted cancer diagnosis and treatment. With the hypothesis that aggregation of NPs stimulated by tumor microenvironment can be utilized to enhance retention and cellular uptake of NPs in tumors, we designed a smart NP system to evaluate the effect of aggregation on NPs' accumulation in tumor tissue. Gold nanoparticles (AuNPs, ~16 nm) were facilely prepared by surface modification with mixed-charge zwitterionic self-assembled monolayers, which can be stable at the pH of blood and normal tissues but aggregate instantly in response to the acidic extracellular pH of solid tumors. The zwitterionic AuNPs exhibited fast, ultrasensitive, and reversible response to the pH change from pH 7.4 to pH 6.5, which enabled the AuNPs to be well dispersed at pH 7.4 with excellent stealth ability to resist uptake by macrophages, while quickly aggregating at pH 6.5, leading to greatly enhanced uptake by cancer cells. An in vivo study demonstrated that the zwitterionic AuNPs had a considerable blood half-life with much higher tumor accumulation, retention, and cellular internalization than nonsensitive PEGylated AuNPs. A preliminary photothermal tumor ablation evaluation suggested the aggregation of AuNPs can be applied to cancer NIR photothermal therapy. These results suggest that controlled aggregation of NPs sensitive to tumor microenvironment can serve as a universal strategy to enhance the retention and cellular uptake of inorganic NPs in tumors, and modifying NPs with a mixed-charge zwitterionic surface can provide an easy way to obtain stealth properties and pH-sensitivity at the same time.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cancer nanotechnology: opportunities and challenges
Ferrari, M. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1566 · Cited by 4,558
Dobrovolskaia, M. A., Aggarwal, P., Hall, J. B., & McNeil, S. E. (2008) · Molecular Pharmaceutics · doi:10.1021/mp800032f · Cited by 1,022
Duan, X., & Li, Y. (2013) · Small · doi:10.1002/smll.201201390 · Cited by 926
Limbach, L. K., Li, Y., Grass, R. N., Brunner, T. J., Hintermann, M. A., Muller, M., Gunther, D., & Stark, W. J. (2005) · Environmental Science & Technology · doi:10.1021/es051043o · Cited by 779
Modulating Pharmacokinetics, Tumor Uptake and Biodistribution by Engineered Nanoparticles
Arvizo, R. R., Miranda, O. R., Moyano, D. F., Walden, C. A., Giri, K., Bhattacharya, R., Robertson, J. D., Rotello, V. M., Reid, J. M., & Mukherjee, P. (2011) · PLoS ONE · doi:10.1371/journal.pone.0024374 · Cited by 403
Layer-by-Layer Nanoparticles with a pH-Sheddable Layer for in Vivo Targeting of Tumor Hypoxia
Poon, Z., Chang, D., Zhao, X., & Hammond, P. T. (2011) · ACS Nano · doi:10.1021/nn200876f · Cited by 343
Thermo and pH Dual‐Responsive Nanoparticles for Anti‐Cancer Drug Delivery
Zhang, L., Guo, R., Yang, M., Jiang, X., & Liu, B. (2007) · Advanced Materials · doi:10.1002/adma.200601817 · Cited by 269
Cited by
Diverse Applications of Nanomedicine
Pelaz, B., Alexiou, C., Alvarez-Puebla, R. A., Alves, F., Andrews, A. M., Ashraf, S., Balogh, L. P., Ballerini, L., Bestetti, A., Brendel, C., et al. (2017) · ACS Nano · doi:10.1021/acsnano.6b06040 · Cited by 1,350
Mussel-Inspired Polydopamine: A Biocompatible and Ultrastable Coating for Nanoparticles in Vivo
Liu, X., Cao, J., Li, H., Li, J., Jin, Q., Ren, K., & Ji, J. (2013) · ACS Nano · doi:10.1021/nn404117j · Cited by 667
Self-citationRecent advances in selective photothermal therapy of tumor
Zhao, L., Zhang, X., Wang, X., Guan, X., Zhang, W., & Ma, J. (2021) · Journal of Nanobiotechnology · doi:10.1186/s12951-021-01080-3 · Cited by 445
The acidic tumor microenvironment: a target for smart cancer nano-theranostics
Feng, L., Dong, Z., Tao, D., Zhang, Y., & Liu, Z. (2018) · National Science Review · doi:10.1093/nsr/nwx062 · Cited by 426
Ali, M. R. K., Rahman, M. A., Wu, Y., Han, T., Peng, X., Mackey, M. A., Wang, D., Shin, H. J., Chen, Z. G., Xiao, H., et al. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1619302114 · Cited by 319
Metadata
- Authors
- Liu, X., Chen, Y., Li, H., Huang, N., Jin, Q., Ren, K., & Ji, J.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2013-06-27
- Volume
- 7
- Issue
- 7
- Pages
- 6244-6257
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W1987957859
- Cited by
- 356
- References
- 7
- FWCI
- 13.64
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Enhanced Retention and Cellular Uptake of Nanoparticles in Tumors by Controlling Their Aggregation Behavior. https://app.cochat.ai/papers/10.1021/nn402201w
- The paper
- Liu, X., Chen, Y., Li, H., Huang, N., Jin, Q., Ren, K., & Ji, J. (2013). Enhanced Retention and Cellular Uptake of Nanoparticles in Tumors by Controlling Their Aggregation Behavior. ACS Nano. https://doi.org/10.1021/nn402201w
Data sources
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.