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Cited by 239

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Targeted delivery of proteins across the blood–brain barrier

Open access
Spencer, Brian J., Verma, Inder M.·2007·Proceedings of the National Academy of Sciences

Abstract

Treatment of many neuronal degenerative disorders will require delivery of a therapeutic protein to neurons or glial cells across the whole CNS. The presence of the blood–brain barrier hampers the delivery of these proteins from the blood, thus necessitating a new method for delivery. Receptors on the blood–brain barrier bind ligands to facilitate their transport to the CNS; therefore, we hypothesized that by targeting these receptors, we may be able to deliver proteins to the CNS for therapy. Here, we report the use of the lentivirus vector system to deliver the lysosomal enzyme glucocerebrosidase and a secreted form of GFP to the neurons and astrocytes in the CNS. We fused the low-density lipoprotein receptor-binding domain of the apolipoprotein B to the targeted protein. This approach proved to be feasible for delivery of the protein and could possibly be used as a general method for delivery of therapeutic proteins to the CNS.

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Crossref · 10.1073/pnas.0702170104

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Metadata

Authors
Spencer, B. J., & Verma, I. M.
Venue
Proceedings of the National Academy of Sciences
Published
2007-05
Volume
104
Issue
18
Pages
7594-7599
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2079474257
Cited by
239
References
2
FWCI
8.99
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Targeted delivery of proteins across the blood–brain barrier. https://app.cochat.ai/papers/10.1073/pnas.0702170104
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Spencer, B. J., & Verma, I. M. (2007). Targeted delivery of proteins across the blood–brain barrier. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0702170104

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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.