The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Macrophages Recognize Size and Shape of Their Targets
Open accessAbstract
Recognition by macrophages is a key process in generating immune response against invading pathogens. Previous studies have focused on recognition of pathogens through surface receptors present on the macrophage's surface. Here, using polymeric particles of different geometries that represent the size and shape range of a variety of bacteria, the importance of target geometry in recognition was investigated. The studies reported here reveal that attachment of particles of different geometries to macrophages exhibits a strong dependence on size and shape. For all sizes and shapes studied, particles possessing the longest dimension in the range of 2-3 microm exhibited highest attachment. This also happens to be the size range of most commonly found bacteria in nature. The surface features of macrophages, in particular the membrane ruffles, might play an important role in this geometry-based target recognition by macrophages. These findings have significant implications in understanding the pathogenicity of bacteria and in designing drug delivery carriers.
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Cites
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The effect of particle design on cellular internalization pathways
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Cited by
Duan, X., & Li, Y. (2013) · Small · doi:10.1002/smll.201201390 · Cited by 926
Role of nanoparticle size, shape and surface chemistry in oral drug delivery
Banerjee, A., Qi, J., Gogoi, R., Wong, J., & Mitragotri, S. (2016) · Journal of Controlled Release · doi:10.1016/j.jconrel.2016.07.051 · Cited by 773
Self-citationInformation processing during phagocytosis
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The importance of nanoparticle shape in cancer drug delivery
Truong, N. P., Whittaker, M. R., Mak, C. W., & Davis, T. P. (2015) · Expert Opinion on Drug Delivery · doi:10.1517/17425247.2014.950564 · Cited by 594
More Effective Nanomedicines through Particle Design
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Metadata
- Authors
- Doshi, N., & Mitragotri, S.
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2010-04-06
- Volume
- 5
- Issue
- 4
- Pages
- e10051
- ISSN
- 1932-6203 (ISSN-L)
- OpenAlex
- W1976358161
- Cited by
- 321
- References
- 6
- FWCI
- 6.84
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
