The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Transcytosis and brain uptake of transferrin-containing nanoparticles by tuning avidity to transferrin receptor
Open accessAbstract
Receptor-mediated transcytosis across the blood–brain barrier (BBB) may be a useful way to transport therapeutics into the brain. Here we report that transferrin (Tf)-containing gold nanoparticles can reach the brain parenchyma from systemic administration in mice through a receptor-mediated transcytosis pathway. This transport is aided by tuning the nanoparticle avidity to Tf receptor (TfR), which is correlated with nanoparticle size and total amount of Tf decorating the nanoparticle surface. Nanoparticles of both 45 nm and 80 nm diameter reach the brain parenchyma, and their accumulation there (visualized by silver enhancement light microscopy in combination with transmission electron microscopy imaging) is observed to be dependent on Tf content (avidity); nanoparticles with large amounts of Tf remain strongly attached to brain endothelial cells, whereas those with less Tf are capable of both interacting with TfR on the luminal side of the BBB and detaching from TfR on the brain side of the BBB. The requirement of proper avidity for nanoparticles to reach the brain parenchyma is consistent with recent behavior observed with transcytosing antibodies that bind to TfR.
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
Self-citationBoosting Brain Uptake of a Therapeutic Antibody by Reducing Its Affinity for a Transcytosis Target
Yu, Y. J., Zhang, Y., Kenrick, M., Hoyte, K., Luk, W., Lu, Y., Atwal, J., Elliott, J. M., Prabhu, S., Watts, R. J., et al. (2011) · Science Translational Medicine · doi:10.1126/scitranslmed.3002230 · Cited by 794
Nance, E. A., Woodworth, G. F., Sailor, K. A., Shih, T.-Y., Xu, Q., Swaminathan, G., Xiang, D., Eberhart, C., & Hanes, J. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3003594 · Cited by 649
Cited by
Saraiva, C., Praça, C., Ferreira, R., Santos, T., Ferreira, L., & Bernardino, L. (2016) · Journal of Controlled Release · doi:10.1016/j.jconrel.2016.05.044 · Cited by 1,609
Block copolymer micelles in nanomedicine applications
Cabral, H., Miyata, K., Osada, K., & Kataoka, K. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00199 · Cited by 1,309
Crossing the blood-brain barrier with nanoparticles
Zhou, Y., Peng, Z., Seven, E. S., & Leblanc, R. M. (2018) · Journal of Controlled Release · doi:10.1016/j.jconrel.2017.12.015 · Cited by 837
Overcoming the Blood–Brain Barrier: The Role of Nanomaterials in Treating Neurological Diseases
Furtado, D., Björnmalm, M., Ayton, S., Bush, A. I., Kempe, K., & Caruso, F. (2018) · Advanced Materials · doi:10.1002/adma.201801362 · Cited by 708
Hersh, A. M., Alomari, S., & Tyler, B. M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23084153 · Cited by 478
Metadata
- Authors
- Wiley, D. T., Webster, P., Gale, A., & Davis, M. E.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2013-05-06
- Volume
- 110
- Issue
- 21
- Pages
- 8662-8667
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2159147379
- Cited by
- 519
- References
- 3
- FWCI
- 14.78
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Transcytosis and brain uptake of transferrin-containing nanoparticles by tuning avidity to transferrin receptor. https://app.cochat.ai/papers/10.1073/pnas.1307152110
- The paper
- Wiley, D. T., Webster, P., Gale, A., & Davis, M. E. (2013). Transcytosis and brain uptake of transferrin-containing nanoparticles by tuning avidity to transferrin receptor. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1307152110
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.