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Cited by 319

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Differential Conjugation of Tat Peptide to Superparamagnetic Nanoparticles and Its Effect on Cellular Uptake

Zhao, Ming, Kircher, Moritz F., Josephson, Lee, Weissleder, Ralph·2002·Bioconjugate Chemistry

Abstract

Surface modification of superparamagnetic contrast agents with HIV-1 tat peptide has emerged as a promising means for intracellular magnetic labeling and noninvasive tracking of a large number of cell types with MRI. To achieve efficient intracellular delivery of the nanoparticles, we investigated the effect on cellular uptake of superparamagnetic iron oxide particles by varying the number of attached tat peptides. First, we report here a modified P2T method in measuring the numbers of surface attachments per particle through disulfide linkage. The method was shown to have desirable simplicity and reproducibility. With the P2T method as a tool, conjugates with progressively higher ratios of peptide-to-particle were synthesized. We were able to demonstrate that higher numbers of tat peptide facilitate the cellular uptake of iron oxide nanoparticles in a nonlinear fashion. Cells labeled with these optimized preparations were readily detectable by MR imaging. The increase in sensitivity could allow in vivo tracking of 100-fold lower cell concentration than currently described.

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Metadata

Authors
Zhao, M., Kircher, M. F., Josephson, L., & Weissleder, R.
Venue
Bioconjugate Chemistry
Published
2002-06-08
Volume
13
Issue
4
Pages
840-844
ISSN
  • 1043-1802 (ISSN-L)
  • 1520-4812
OpenAlex
W2091000092
Cited by
319
References
0
FWCI
19.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Differential Conjugation of Tat Peptide to Superparamagnetic Nanoparticles and Its Effect on Cellular Uptake. https://app.cochat.ai/papers/10.1021/bc0255236
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Zhao, M., Kircher, M. F., Josephson, L., & Weissleder, R. (2002). Differential Conjugation of Tat Peptide to Superparamagnetic Nanoparticles and Its Effect on Cellular Uptake. Bioconjugate Chemistry. https://doi.org/10.1021/bc0255236

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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.