The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Effects of ligands with different water solubilities on self-assembly and properties of targeted nanoparticles
Open accessAbstract
The engineering of drug-encapsulated targeted nanoparticles (NPs) has the potential to revolutionize drug therapy. A major challenge for the smooth translation of targeted NPs to the clinic has been developing methods for the prediction and optimization of the NP surface composition, especially when targeting ligands (TL) of different chemical properties are involved in the NP self-assembly process. Here we investigated the self-assembly and properties of two different targeted NPs decorated with two widely used TLs that have different water solubilities, and developed methods to characterize and optimize NP surface composition. We synthesized two different biofunctional polymers composed of poly(lactide-co-glycolide)-b-polyethyleneglycol-RGD (PLGA-PEG-RGD, high water solubility TL) and PLGA-PEG-Folate (low water solubility TL). Targeted NPs with different ligand densities were prepared by mixing TL-conjugated polymers with non-conjugated PLGA-PEG at different ratios through nanoprecipitation. The NP surface composition was quantified and the results revealed two distinct nanoparticle assembly behaviors: for the case of PLGA-PEG-RGD, nearly all RGD molecules conjugated to the polymer were found to be on the surface of the NPs. In contrast, only ~20% of the folate from PLGA-PEG-Folate was present on the NP surface while the rest remained presumably buried in the PLGA NP core due to hydrophobic interactions of PLGA and folate. Finally, in vitro phagocytosis and cell targeting of NPs was investigated, from which a window of NP formulations exhibiting minimum uptake by macrophages and maximum uptake by targeted cells was determined. These results underscore the impact the ligand chemical properties have on the targeting capabilities of self-assembled targeted nanoparticles and provide an engineering strategy for improving their targeting specificity.
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
Nanoparticle therapeutics: an emerging treatment modality for cancer
Davis, M. E., Chen, Z., & Shin, D. M. (2008) · Nature Reviews Drug Discovery · doi:10.1038/nrd2614 · Cited by 4,233
Factors affecting the clearance and biodistribution of polymeric nanoparticles
Alexis, F., Pridgen, E., Molnar, L. K., & Farokhzad, O. C. (2008) · Molecular Pharmaceutics · doi:10.1021/mp800051m · Cited by 3,699
Self-citationImmunological properties of engineered nanomaterials
Dobrovolskaia, M. A., & McNeil, S. E. (2007) · Nature Nanotechnology · doi:10.1038/nnano.2007.223 · Cited by 1,823
Formulation of functionalized PLGA-PEG Nanoparticles for in vivo targeted drug delivery
Cheng, J., Teply, B. A., Sherifi, I., Sung, J., Luther, G., Gu, F. X., Levy-Nissenbaum, E., Radovic-Moreno, A. F., Langer, R., & Farokhzad, O. C. (2007) · Biomaterials · doi:10.1016/j.biomaterials.2006.09.047 · Cited by 1,273
Self-citationDobrovolskaia, M. A., Aggarwal, P., Hall, J. B., & McNeil, S. E. (2008) · Molecular Pharmaceutics · doi:10.1021/mp800032f · Cited by 1,022
Single-step surface functionalization of polymeric nanoparticles for targeted drug delivery
Patil, Y. B., Toti, U. S., Khdair, A., Ma, L., & Panyam, J. (2009) · Biomaterials · doi:10.1016/j.biomaterials.2008.09.056 · Cited by 242
Cited by
PEGylation as a strategy for improving nanoparticle-based drug and gene delivery
Suk, J. S., Xu, Q., Kim, N., Hanes, J., & Ensign, L. M. (2016) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2015.09.012 · Cited by 4,523
Targeted polymeric therapeutic nanoparticles: design, development and clinical translation
Kamaly, N., Xiao, Z., Valencia, P. M., Radovic-Moreno, A. F., & Farokhzad, O. C. (2012) · Chemical Society Reviews · doi:10.1039/c2cs15344k · Cited by 1,730
Self-citationNicolas, J., Mura, S., Brambilla, D., Mackiewicz, N., & Couvreur, P. (2013) · Chem. Soc. Rev. · doi:10.1039/c2cs35265f · Cited by 1,270
Cancer nanomedicine: from targeted delivery to combination therapy
Xu, X., Ho, W., Zhang, X., Bertrand, N., & Farokhzad, O. (2015) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2015.01.001 · Cited by 693
Self-citationNanoparticle decoration with surfactants: Molecular interactions, assembly, and applications
Heinz, H., Pramanik, C., Heinz, O., Ding, Y., Mishra, R. K., Marchon, D., Flatt, R. J., Estrela-Lopis, I., Llop, J., Moya, S., et al. (2017) · Surface Science Reports · doi:10.1016/j.surfrep.2017.02.001 · Cited by 608
Metadata
- Authors
- Valencia, P. M., Hanewich-Hollatz, M. H., Gao, W., Karim, F., Langer, R., Karnik, R., & Farokhzad, O. C.
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2011-09
- Volume
- 32
- Issue
- 26
- Pages
- 6226-6233
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W1964400351
- Cited by
- 184
- References
- 6
- FWCI
- 6.91
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Effects of ligands with different water solubilities on self-assembly and properties of targeted nanoparticles. https://app.cochat.ai/papers/10.1016/j.biomaterials.2011.04.078
- The paper
- Valencia, P. M., Hanewich-Hollatz, M. H., Gao, W., Karim, F., Langer, R., Karnik, R., & Farokhzad, O. C. (2011). Effects of ligands with different water solubilities on self-assembly and properties of targeted nanoparticles. Biomaterials. https://doi.org/10.1016/j.biomaterials.2011.04.078
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.