The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
High-Capacity Adenoviral Vectors for Gene Transfer and Somatic Gene Therapy
Abstract
The availability of efficient and nontoxic gene delivery technologies is fundamental to the translation of therapeutic concepts into clinical practice by gene transfer. High-capacity adenoviral (HC-Ad) vectors are characterized by the ability to transduce cells in vitro and in vivo with more than 30 kb of nonviral DNA. This quality allows simultaneous gene transfer of several expression cassettes, large promoters, and some genes in their natural genomic context. Because all viral coding sequences are removed from these vectors, safety is considerably improved compared with previous-generation adenoviral vectors.
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Cites
Sauer, B. (1987) · Molecular and Cellular Biology · doi:10.1128/mcb.7.6.2087 · Cited by 482
Jooss, K., Yang, Y., Fisher, K. J., & Wilson, J. M. (1998) · Journal of Virology · doi:10.1128/jvi.72.5.4212-4223.1998 · Cited by 470
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Kojima, H., Fujimiya, M., Matsumura, K., Younan, P., Imaeda, H., Maeda, M., & Chan, L. (2003) · Nature Medicine · doi:10.1038/nm867 · Cited by 448
Improved system for helper-dependent adenoviral vector production
Palmer, D., & Ng, P. (2003) · Molecular Therapy · doi:10.1016/j.ymthe.2003.08.014 · Cited by 290
Lau, C.-H., & Suh, Y. (2017) · F1000Research · doi:10.12688/f1000research.11243.1 · Cited by 161
Adenoviral vector-based strategies against infectious disease and cancer
Zhang, C., & Zhou, D. (2016) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2016.1165908 · Cited by 110
Metadata
- Authors
- Kochanek, S.
- Venue
- Human Gene Therapy
- Publisher
- SAGE Publications
- Published
- 1999-10-10
- Volume
- 10
- Issue
- 15
- Pages
- 2451-2459
- ISSN
- 1043-0342 (ISSN-L)
- 1557-7422
- OpenAlex
- W2108860107
- Cited by
- 173
- References
- 2
- FWCI
- 12.66
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
