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Identification of a Titin-Derived HLA-A1–Presented Peptide as a Cross-Reactive Target for Engineered MAGE A3–Directed T Cells
Open accessAbstract
T cells engineered to express affinity-enhanced TCRs directed to a MAGE A3 peptide cross-react with a similar, but unrelated, self-peptide.
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Gapped BLAST and PSI-BLAST: a new generation of protein database search programs
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A Third-Generation Lentivirus Vector with a Conditional Packaging System
Dull, T., Zufferey, R., Kelly, M., Mandel, R. J., Nguyen, M., Trono, D., & Naldini, L. (1998) · Journal of Virology · doi:10.1128/jvi.72.11.8463-8471.1998 · Cited by 3,341
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Restifo, N. P., Dudley, M. E., & Rosenberg, S. A. (2012) · Nature Reviews Immunology · doi:10.1038/nri3191 · Cited by 1,688
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Zhang, S.-Q., Ma, K.-Y., Schonnesen, A. A., Zhang, M., He, C., Sun, E., Williams, C. M., Jia, W., & Jiang, N. (2018) · Nature Biotechnology · doi:10.1038/nbt.4282 · Cited by 200
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Themeli, M., Rivière, I., & Sadelain, M. (2015) · Cell stem cell · doi:10.1016/j.stem.2015.03.011 · Cited by 179
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Metadata
- Authors
- Cameron, B. J., Gerry, A. B., Dukes, J., Harper, J. V., Kannan, V., Bianchi, F. C., Grand, F., Brewer, J. E., Gupta, M., Plesa, G., Bossi, G., Vuidepot, A., Powlesland, A. S., Legg, A., Adams, K. J., Bennett, A. D., Pumphrey, N. J., Williams, D. D., Binder-Scholl, G., Kulikovskaya, I., Levine, B. L., Riley, J. L., Varela-Rohena, A., Stadtmauer, E. A., Rapoport, A. P., Linette, G. P., June, C. H., Hassan, N. J., Kalos, M., & Jakobsen, B. K.
- Venue
- Science Translational Medicine
- Published
- 2013-08-07
- Volume
- 5
- Issue
- 197
- Pages
- 197ra103-197ra103
- ISSN
- 1946-6234 (ISSN-L)
- 1946-6242
- OpenAlex
- W2143626441
- Cited by
- 684
- References
- 3
- FWCI
- 23.13
- Type
- journal article
- Language
- en
- Open access
- green
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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.
