The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Erythrocyte–Platelet Hybrid Membrane Coating for Enhanced Nanoparticle Functionalization
Open accessAbstract
Cell‐membrane‐coated nanoparticles have recently been studied extensively for their biological compatibility, retention of cellular properties, and adaptability to a variety of therapeutic and imaging applications. This class of nanoparticles, which has been fabricated with a variety of cell membrane coatings, including those derived from red blood cells (RBCs), platelets, white blood cells, cancer cells, and bacteria, exhibit properties that are characteristic of the source cell. In this study, a new type of biological coating is created by fusing membrane material from two different cells, providing a facile method for further enhancing nanoparticle functionality. As a proof of concept, the development of dual‐membrane‐coated nanoparticles from the fused RBC membrane and platelet membrane is demonstrated. The resulting particles, termed RBC–platelet hybrid membrane‐coated nanoparticles ([RBC‐P]NPs), are thoroughly characterized, and it is shown that they carry properties of both source cells. Further, the [RBC‐P]NP platform exhibits long circulation and suitability for further in vivo exploration. The reported strategy opens the door for the creation of biocompatible, custom‐tailored biomimetic nanoparticles with varying hybrid functionalities, which may be used to overcome the limitations of current nanoparticle‐based therapeutic and imaging platforms.
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
Liposomal drug delivery systems: From concept to clinical applications
Allen, T. M., & Cullis, P. R. (2013) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2012.09.037 · Cited by 4,839
Impact of Nanotechnology on Drug Delivery
Farokhzad, O. C., & Langer, R. (2009) · ACS Nano · doi:10.1021/nn900002m · Cited by 3,348
Erythrocyte membrane-camouflaged polymeric nanoparticles as a biomimetic delivery platform
Hu, C.-M. J., Zhang, L., Aryal, S., Cheung, C., Fang, R. H., & Zhang, L. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1106634108 · Cited by 2,433
Self-citationNanoparticle and targeted systems for cancer therapy
Brannon-Peppas, L., & Blanchette, J. O. (2004) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2004.02.014 · Cited by 2,334
Role of CD47 as a Marker of Self on Red Blood Cells
Oldenborg, P.-A., Zheleznyak, A., Fang, Y.-F., Lagenaur, C. F., Gresham, H. D., & Lindberg, F. P. (2000) · Science · doi:10.1126/science.288.5473.2051 · Cited by 1,970
Nanoparticle biointerfacing by platelet membrane cloaking
Hu, C.-M. J., Fang, R. H., Wang, K.-C., Luk, B. T., Thamphiwatana, S., Dehaini, D., Nguyen, P., Angsantikul, P., Wen, C. H., Kroll, A. V., et al. (2015) · Nature · doi:10.1038/nature15373 · Cited by 1,789
Self-citationNanoparticle Delivery of Cancer Drugs
Wang, A. Z., Langer, R., & Farokhzad, O. C. (2012) · Annual Review of Medicine · doi:10.1146/annurev-med-040210-162544 · Cited by 1,561
Cancer Cell Membrane-Coated Nanoparticles for Anticancer Vaccination and Drug Delivery
Fang, R. H., Hu, C.-M. J., Luk, B. T., Gao, W., Copp, J. A., Tai, Y., O’Connor, D. E., & Zhang, L. (2014) · Nano Letters · doi:10.1021/nl500618u · Cited by 1,501
Self-citationParodi, A., Quattrocchi, N., van de Ven, A. L., Chiappini, C., Evangelopoulos, M., Martinez, J. O., Brown, B. S., Khaled, S. Z., Yazdi, I. K., Enzo, M. V., et al. (2013) · Nature Nanotechnology · doi:10.1038/nnano.2012.212 · Cited by 1,168
Minimal "Self" Peptides That Inhibit Phagocytic Clearance and Enhance Delivery of Nanoparticles
Rodriguez, P. L., Harada, T., Christian, D. A., Pantano, D. A., Tsai, R. K., & Discher, D. E. (2013) · Science · doi:10.1126/science.1229568 · Cited by 985
Cited by
Cell Membrane Coating Nanotechnology
Fang, R. H., Kroll, A. V., Gao, W., & Zhang, L. (2018) · Advanced Materials · doi:10.1002/adma.201706759 · Cited by 1,885
Self-citationNanoparticle-Based Drug Delivery in Cancer Therapy and Its Role in Overcoming Drug Resistance
Yao, Y., Zhou, Y., Liu, L., Xu, Y., Chen, Q., Wang, Y., Wu, S., Deng, Y., Zhang, J., & Shao, A. (2020) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2020.00193 · Cited by 1,451
Targeting drugs to tumours using cell membrane-coated nanoparticles
Fang, R. H., Gao, W., & Zhang, L. (2023) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-022-00699-x · Cited by 980
Self-citationXia, Q., Zhang, Y., Li, Z., Hou, X., & Feng, N. (2019) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2019.01.011 · Cited by 665
Self-citationGao, C., Huang, Q., Liu, C., Kwong, C. H. T., Yue, L., Wan, J.-B., Lee, S. M. Y., & Wang, R. (2020) · Nature Communications · doi:10.1038/s41467-020-16439-7 · Cited by 630
Metadata
- Authors
- Dehaini, D., Wei, X., Fang, R. H., Masson, S., Angsantikul, P., Luk, B. T., Zhang, Y., Ying, M., Jiang, Y., Kroll, A. V., Gao, W., & Zhang, L.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2017-02-15
- Volume
- 29
- Issue
- 16
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2588049964
- Cited by
- 769
- References
- 39
- FWCI
- 19.02
- 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: Erythrocyte–Platelet Hybrid Membrane Coating for Enhanced Nanoparticle Functionalization. https://app.cochat.ai/papers/10.1002/adma.201606209
- The paper
- Dehaini, D., Wei, X., Fang, R. H., Masson, S., Angsantikul, P., Luk, B. T., Zhang, Y., Ying, M., Jiang, Y., Kroll, A. V., Gao, W., & Zhang, L. (2017). Erythrocyte–Platelet Hybrid Membrane Coating for Enhanced Nanoparticle Functionalization. Advanced Materials. https://doi.org/10.1002/adma.201606209
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.
