The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Cell membrane-derived nanomaterials for biomedical applications
Open accessAbstract
The continued evolution of biomedical nanotechnology has enabled clinicians to better detect, prevent, manage, and treat human disease. In order to further push the limits of nanoparticle performance and functionality, there has recently been a paradigm shift towards biomimetic design strategies. By taking inspiration from nature, the goal is to create next-generation nanoparticle platforms that can more effectively navigate and interact with the incredibly complex biological systems that exist within the body. Of great interest are cellular membranes, which play essential roles in biointerfacing, self-identification, signal transduction, and compartmentalization. In this review, we explore the major ways in which researchers have directly leveraged cell membrane-derived biomaterials for the fabrication of novel nanotherapeutics and nanodiagnostics. Such emerging technologies have the potential to significantly advance the field of nanomedicine, helping to improve upon traditional modalities while also enabling novel applications.
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Self-citationTargeting drugs to tumours using cell membrane-coated nanoparticles
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Xia, Y., Rao, L., Yao, H., Wang, Z., Ning, P., & Chen, X. (2020) · Advanced Materials · doi:10.1002/adma.202002054 · Cited by 949
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
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Metadata
- Authors
- Fang, R. H., Jiang, Y., Fang, J. C., & Zhang, L.
- Venue
- Biomaterials
- Publisher
- Elsevier BV
- Published
- 2017-06
- Volume
- 128
- Pages
- 69-83
- ISSN
- 0142-9612 (ISSN-L)
- OpenAlex
- W2593910260
- Cited by
- 468
- References
- 13
- FWCI
- 14.71
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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