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Development of a Bioorthogonal and Highly Efficient Conjugation Method for Quantum Dots Using Tetrazine−Norbornene Cycloaddition
Open accessAbstract
We present a bioorthogonal and modular conjugation method for efficient coupling of organic dyes and biomolecules to quantum dots (QDs) using a norbornene-tetrazine cycloaddition. The use of noncoordinating functional groups combined with the rapid rate of the cycloaddition leads to highly efficient conjugation. We have applied this method to the in situ targeting of norbornene-coated QDs to live cancer cells labeled with tetrazine-modified proteins.
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Cited by
Tassa, C., Shaw, S. Y., & Weissleder, R. (2011) · Accounts of Chemical Research · doi:10.1021/ar200084x · Cited by 653
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Algar, W. R., Prasuhn, D. E., Stewart, M. H., Jennings, T. L., Blanco-Canosa, J. B., Dawson, P. E., & Medintz, I. L. (2011) · Bioconjugate Chemistry · doi:10.1021/bc200065z · Cited by 502
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Metadata
- Authors
- Han, H.-S., Devaraj, N. K., Lee, J., Hilderbrand, S. A., Weissleder, R., & Bawendi, M. G.
- Venue
- Journal of the American Chemical Society
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-05-19
- Volume
- 132
- Issue
- 23
- Pages
- 7838-7839
- ISSN
- 0002-7863 (ISSN-L)
- 1520-5126
- OpenAlex
- W2112067816
- Cited by
- 211
- References
- 0
- FWCI
- 14.05
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Development of a Bioorthogonal and Highly Efficient Conjugation Method for Quantum Dots Using Tetrazine−Norbornene Cycloaddition. https://app.cochat.ai/papers/10.1021/ja101677r
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- Han, H.-S., Devaraj, N. K., Lee, J., Hilderbrand, S. A., Weissleder, R., & Bawendi, M. G. (2010). Development of a Bioorthogonal and Highly Efficient Conjugation Method for Quantum Dots Using Tetrazine−Norbornene Cycloaddition. Journal of the American Chemical Society. https://doi.org/10.1021/ja101677r
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.
