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Cited by 346

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Bioorthogonal chemistry amplifies nanoparticle binding and enhances the sensitivity of cell detection

Open access
Haun, Jered B., Devaraj, Neal K., Hilderbrand, Scott A., Lee, Hakho, Weissleder, Ralph·2010·Nature Nanotechnology

Abstract

Nanoparticles have emerged as key materials for biomedical applications because of their unique and tunable physical properties, multivalent targeting capability, and high cargo capacity1,2. Motivated by these properties and by current clinical needs, numerous diagnostic3–10 and therapeutic11–13 nanomaterials have recently emerged. Here we describe a novel nanoparticle targeting platform that uses a rapid, catalyst-free cycloaddition as the coupling mechanism. Antibodies against biomarkers of interest were modified with trans-cyclooctene and used as scaffolds to couple tetrazine-modified nanoparticles onto live cells. We show that the technique is fast, chemoselective, adaptable to metal nanomaterials, and scalable for biomedical use. This method also supports amplification of biomarker signals, making it superior to alternative targeting techniques including avidin/biotin.

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Crossref · 10.1038/nnano.2010.148

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Metadata

Authors
Haun, J. B., Devaraj, N. K., Hilderbrand, S. A., Lee, H., & Weissleder, R.
Venue
Nature Nanotechnology
Published
2010-08-01
Volume
5
Issue
9
Pages
660-665
ISSN
  • 1748-3387 (ISSN-L)
  • 1748-3395
OpenAlex
W2066468286
Cited by
346
References
5
FWCI
15.47
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Bioorthogonal chemistry amplifies nanoparticle binding and enhances the sensitivity of cell detection. https://app.cochat.ai/papers/10.1038/nnano.2010.148
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Haun, J. B., Devaraj, N. K., Hilderbrand, S. A., Lee, H., & Weissleder, R. (2010). Bioorthogonal chemistry amplifies nanoparticle binding and enhances the sensitivity of cell detection. Nature Nanotechnology. https://doi.org/10.1038/nnano.2010.148

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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.