The DOI matches its Crossref record.
Macrocyclic Chelators with Paramagnetic Cations Are Internalized into Mammalian Cells via a HIV-Tat Derived Membrane Translocation Peptide
Abstract
A major obstacle to using paramagnetic MR contrast agents for in vivo cell tracking or molecular sensing is their generally low cellular uptake. In this study, we show that a paramagnetically labeled DOTA chelator derivatized with a 13-mer HIV-tat peptide is efficiently internalized into mammalian cells. Intracellular concentrations were attained that were readily detectable by MR imaging using both gadolinium and dysprosium chelates. Using this paradigm, it should be feasible to internalize a variety of chemically different agents into mammalian cells.
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Cited by
GUPTA, B., LEVCHENKO, T., & TORCHILIN, V (2005) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2004.10.007 · Cited by 632
Bartelle, B. B., Barandov, A., & Jasanoff, A. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.4050-15.2016 · Cited by 45
Metadata
- Authors
- Bhorade, R., Weissleder, R., Nakakoshi, T., Moore, A., & Tung, C.-H.
- Venue
- Bioconjugate Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2000-04-29
- Volume
- 11
- Issue
- 3
- Pages
- 301-305
- ISSN
- 1043-1802 (ISSN-L)
- 1520-4812
- OpenAlex
- W2007457382
- Cited by
- 163
- References
- 0
- FWCI
- 9.34
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Macrocyclic Chelators with Paramagnetic Cations Are Internalized into Mammalian Cells via a HIV-Tat Derived Membrane Translocation Peptide. https://app.cochat.ai/papers/10.1021/bc990168d
- The paper
- Bhorade, R., Weissleder, R., Nakakoshi, T., Moore, A., & Tung, C.-H. (2000). Macrocyclic Chelators with Paramagnetic Cations Are Internalized into Mammalian Cells via a HIV-Tat Derived Membrane Translocation Peptide. Bioconjugate Chemistry. https://doi.org/10.1021/bc990168d
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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.
