The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Size and Dynamics of Caveolae Studied Using Nanoparticles in Living Endothelial Cells
Open accessAbstract
Caveolae are plasma membrane invaginations prominent in all endothelial cells lining blood vessels. Caveolae characteristically bud to form free cytoplasmic vesicles capable of transporting carrier proteins such as albumin through the cell. However, caveolae size distribution and dynamics in living endothelial cells and ability of caveolae to internalize nanoparticles are not well understood. We demonstrate here the design of a dual-color nanoparticle pair to measure noninvasively caveolae size and dynamics. First, we coated nanoparticles with BSA (bovine serum albumin) to address whether albumin promoted their delivery. Albumin has been shown to bind to protein on endothelial cell surface localized in caveolae and activate albumin endocytosis. Imaging of BSA-coated nanoparticles varying from 20 to 100 nm in diameter in endothelial cells demonstrated that caveolae-mediated nanoparticle uptake was dependent on albumin coating of particles. We also showed that caveolae could accommodate up to 100 nm diameter nanoparticles, a size larger than the diameter of typical caveolae, suggesting compliant property of caveolae. Together, our results show the feasibility of tracking multicolored nanoparticles in living endothelial cells and potential usefulness for designing therapeutic nanoparticle cargo to cross the limiting vessel wall endothelial barrier.
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
Bruchpilot Promotes Active Zone Assembly, Ca 2+ Channel Clustering, and Vesicle Release
Kittel, R. J., Wichmann, C., Rasse, T. M., Fouquet, W., Schmidt, M., Schmid, A., Wagh, D. A., Pawlu, C., Kellner, R. R., Willig, K. I., et al. (2006) · Science · doi:10.1126/science.1126308 · Cited by 772
Cited by
Interaction of nanoparticles with proteins: relation to bio-reactivity of the nanoparticle
Saptarshi, S. R., Duschl, A., & Lopata, A. L. (2013) · Journal of Nanobiotechnology · doi:10.1186/1477-3155-11-26 · Cited by 1,079
Understanding nanoparticle endocytosis to improve targeting strategies in nanomedicine
Sousa de Almeida, M., Susnik, E., Drasler, B., Taladriz-Blanco, P., Petri-Fink, A., & Rothen-Rutishauser, B. (2021) · Chemical Society Reviews · doi:10.1039/d0cs01127d · Cited by 1,079
Canton, I., & Battaglia, G. (2012) · Chemical Society Reviews · doi:10.1039/c2cs15309b · Cited by 936
Impact of albumin on drug delivery — New applications on the horizon
Elsadek, B., & Kratz, F. (2012) · Journal of Controlled Release · doi:10.1016/j.jconrel.2011.09.069 · Cited by 832
Chahal, J. S., Khan, O. F., Cooper, C. L., McPartlan, J. S., Tsosie, J. K., Tilley, L. D., Sidik, S. M., Lourido, S., Langer, R., Bavari, S., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1600299113 · Cited by 414
Endocytosis of Gene Delivery Vectors: From Clathrin-dependent to Lipid Raft-mediated Endocytosis
El-Sayed, A., & Harashima, H. (2013) · Molecular Therapy · doi:10.1038/mt.2013.54 · Cited by 345
Prevention of vascular inflammation by nanoparticle targeting of adherent neutrophils
Wang, Z., Li, J., Cho, J., & Malik, A. B. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2014.17 · Cited by 300
Self-citationModels for oral uptake of nanoparticles in consumer products
Fröhlich, E., & Roblegg, E. (2012) · Toxicology · doi:10.1016/j.tox.2011.11.004 · Cited by 295
Chu, D., Gao, J., & Wang, Z. (2015) · ACS Nano · doi:10.1021/acsnano.5b05583 · Cited by 283
Self-citationNeurotheranostics as Personalized Medicines
Kevadiya, B. D., Ottemann, B. M., Thomas, M. B., Mukadam, I., Nigam, S., McMillan, J., Gorantla, S., Bronich, T. K., Edagwa, B., & Gendelman, H. E. (2019) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.10.011 · Cited by 124
Nanoplatforms for mRNA Therapeutics
Meng, C., Chen, Z., Li, G., Welte, T., & Shen, H. (2021) · Advanced Therapeutics · doi:10.1002/adtp.202000099 · Cited by 130
Lee, S.-Y., Tyler, J. Y., Kim, S., Park, K., & Cheng, J.-X. (2013) · Molecular Pharmaceutics · doi:10.1021/mp4003333 · Cited by 59
Metadata
- Authors
- Wang, Z., Tiruppathi, C., Minshall, R. D., & Malik, A. B.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-11-17
- Volume
- 3
- Issue
- 12
- Pages
- 4110-4116
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2030141620
- Cited by
- 319
- References
- 1
- FWCI
- 4.55
- Type
- journal article
- Language
- en
- Open access
- green
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
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.
