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Binding Affinity and Kinetic Analysis of Targeted Small Molecule-Modified Nanoparticles
Open accessAbstract
Nanoparticles bearing surface-conjugated targeting ligands are increasingly being explored for a variety of biomedical applications. The multivalent conjugation of targeting ligands on the surface of nanoparticles is presumed to enhance binding to the desired target. However, given the complexities inherent in the interactions of nanoparticle surfaces with proteins, and the structural diversity of nanoparticle scaffolds and targeting ligands, our understanding of how conjugation of targeting ligands affects nanoparticle binding remains incomplete. Here, we use surface plasmon resonance (SPR) to directly and quantitatively study the affinity and binding kinetics of nanoparticles that display small molecules conjugated to their surface. We studied the interaction between a single protein target and a structurally related series of targeting ligands whose intrinsic affinity varies over a 4500-fold range and performed SPR at protein densities that reflect endogenous receptor densities. We report that even weak small molecule targeting ligands can significantly enhance target-specific avidity (by up to 4 orders of magnitude) through multivalent interactions and also observe a much broader range of kinetic effects than has been previously reported. Quantitative measurement of how the affinity and kinetics of nanoparticle binding vary as a function of different surface conjugations is a rapid, generalizable approach to nanoparticle characterization that can inform the design of nanoparticles for biomedical applications.
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Citations
Cites
Applications of Nanoparticles in Biology
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Kinetic analysis of macromolecular interactions using surface plasmon resonance biosensors
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Weissleder, R., Nahrendorf, M., & Pittet, M. J. (2014) · Nature Materials · doi:10.1038/nmat3780 · Cited by 809
Tassa, C., Shaw, S. Y., & Weissleder, R. (2011) · Accounts of Chemical Research · doi:10.1021/ar200084x · Cited by 653
Self-citationPhysiologically Based Pharmacokinetic Modeling of Nanoparticles
Li, M., Al-Jamal, K. T., Kostarelos, K., & Reineke, J. (2010) · ACS Nano · doi:10.1021/nn1018818 · Cited by 351
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Mi, P., Cabral, H., & Kataoka, K. (2020) · Advanced Materials · doi:10.1002/adma.201902604 · Cited by 350
Lipid-based nanoparticles with high binding affinity for amyloid-β1–42 peptide
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Biscaglia, F., Quarta, S., Villano, G., Turato, C., Biasiolo, A., Litti, L., Ruzzene, M., Meneghetti, M., Pontisso, P., & Gobbo, M. (2019) · Materials Science and Engineering: C · doi:10.1016/j.msec.2019.109762 · Cited by 25
Metadata
- Authors
- Tassa, C., Duffner, J. L., Lewis, T. A., Weissleder, R., Schreiber, S. L., Koehler, A. N., & Shaw, S. Y.
- Venue
- Bioconjugate Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2009-12-22
- Volume
- 21
- Issue
- 1
- Pages
- 14-19
- ISSN
- 1043-1802 (ISSN-L)
- 1520-4812
- OpenAlex
- W2094028552
- Cited by
- 202
- References
- 2
- FWCI
- 6.97
- Type
- journal article
- Language
- en
- Open access
- green
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