The DOI matches its Crossref record; 79 of the 79 references it cites were found in a registry or an index.
Single-Cell Analyses Identify Brain Mural Cells Expressing CD19 as Potential Off-Tumor Targets for CAR-T Immunotherapies
Open accessAbstract
Summary CD19-directed immunotherapies are clinically effective for treating B-cell malignancies but also cause a high incidence of neurotoxicity. A subset of patients treated with chimeric antigen receptor (CAR) T cells or bispecific T-cell engager (BiTE) antibodies display severe neurotoxicity, including fatal cerebral edema associated with T cell infiltration into the brain. Here we report that mural cells, which surround the endothelium and are critical for blood-brain-barrier integrity, express CD19. We identify CD19 expression in brain mural cells using single-cell RNA-seq data and confirm perivascular staining at the protein level. CD19 expression in the brain begins early in development alongside the emergence of mural cell lineages and persists throughout adulthood across brain regions. Mouse mural cells demonstrate lower levels of Cd19 expression, suggesting limitations in preclinical animal models of neurotoxicity. These data suggest an on-target mechanism for neurotoxicity in CD19-directed therapies and highlight the utility of human single-cell atlases for designing immunotherapies.
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Integrating single-cell transcriptomic data across different conditions, technologies, and species
Butler, A., Hoffman, P., Smibert, P., Papalexi, E., & Satija, R. (2018) · Nature Biotechnology · doi:10.1038/nbt.4096 · Cited by 13,174
SCANPY: large-scale single-cell gene expression data analysis
Wolf, F. A., Angerer, P., & Theis, F. J. (2018) · Genome Biology · doi:10.1186/s13059-017-1382-0 · Cited by 8,881
Massively parallel digital transcriptional profiling of single cells
Zheng, G. X. Y., Terry, J. M., Belgrader, P., Ryvkin, P., Bent, Z. W., Wilson, R., Ziraldo, S. B., Wheeler, T. D., McDermott, G. P., Zhu, J., et al. (2017) · Nature Communications · doi:10.1038/ncomms14049 · Cited by 7,353
Axicabtagene Ciloleucel CAR T-Cell Therapy in Refractory Large B-Cell Lymphoma
Neelapu, S. S., Locke, F. L., Bartlett, N. L., Lekakis, L. J., Miklos, D. B., Jacobson, C. A., Braunschweig, I., Oluwole, O. O., Siddiqi, T., Lin, Y., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmoa1707447 · Cited by 6,030
Tisagenlecleucel in children and young adults with B-cell lymphoblastic leukemia
Maude, S. L., Laetsch, T. W., Buechner, J., Rives, S., Boyer, M., Bittencourt, H., Bader, P., Verneris, M. R., Stefanski, H. E., Myers, G. D., et al. (2018) · New England Journal of Medicine · doi:10.1056/nejmoa1709866 · Cited by 5,735
Self-citationLa Manno, G., Soldatov, R., Zeisel, A., Braun, E., Hochgerner, H., Petukhov, V., Lidschreiber, K., Kastriti, M. E., Lönnerberg, P., Furlan, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0414-6 · Cited by 4,118
Chimeric antigen receptor–modified T cells in chronic lymphoid leukemia
Porter, D. L., Levine, B. L., Kalos, M., Bagg, A., & June, C. H. (2011) · New England Journal of Medicine · doi:10.1056/nejmoa1103849 · Cited by 3,565
Self-citationChimeric Antigen Receptor–Modified T Cells for Acute Lymphoid Leukemia
Grupp, S. A., Kalos, M., Barrett, D., Aplenc, R., Porter, D. L., Rheingold, S. R., Teachey, D. T., Chew, A., Hauck, B., Wright, J. F., et al. (2013) · New England Journal of Medicine · doi:10.1056/nejmoa1215134 · Cited by 3,509
Self-citationCar t cell immunotherapy for human cancer
June, C. H., O’Connor, R. S., Kawalekar, O. U., Ghassemi, S., & Milone, M. C. (2018) · Science · doi:10.1126/science.aar6711 · Cited by 3,207
Self-citationLee, D. W., Kochenderfer, J. N., Stetler-Stevenson, M., Cui, Y. K., Delbrook, C., Feldman, S. A., Fry, T. J., Orentas, R., Sabatino, M., Shah, N. N., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(14)61403-3 · Cited by 2,898
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Yang, A. C., Vest, R. T., Kern, F., Lee, D. P., Agam, M., Maat, C. A., Losada, P. M., Chen, M. B., Schaum, N., Khoury, N., et al. (2022) · Nature · doi:10.1038/s41586-021-04369-3 · Cited by 797
Peripheral inflammation and blood–brain barrier disruption: effects and mechanisms
Huang, X., Hussain, B., & Chang, J. (2021) · CNS Neuroscience & Therapeutics · doi:10.1111/cns.13569 · Cited by 709
Overcoming on-target, off-tumour toxicity of CAR T cell therapy for solid tumours
Flugel, C. L., Majzner, R. G., Krenciute, G., Dotti, G., Riddell, S. R., Wagner, D. L., & Abou-el-Enein, M. (2023) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-022-00704-3 · Cited by 554
The present and future of bispecific antibodies for cancer therapy
Klein, C., Brinkmann, U., Reichert, J. M., & Kontermann, R. E. (2024) · Nature Reviews Drug Discovery · doi:10.1038/s41573-024-00896-6 · Cited by 490
Metadata
- Authors
- Parker, K. R., Migliorini, D., Perkey, E., Yost, K. E., Bhaduri, A., Bagga, P., Haris, M., Wilson, N. E., Liu, F., Gabunia, K., Scholler, J., Montine, T. J., Bhoj, V. G., Reddy, R., Mohan, S., Maillard, I., Kriegstein, A. R., June, C. H., Chang, H. Y., Posey, A. D., & Satpathy, A. T.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 183
- Issue
- 1
- Pages
- 126-142.e17
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W3087057425
- Cited by
- 455
- References
- 79
- FWCI
- 21.81
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Parker, K. R., Migliorini, D., Perkey, E., Yost, K. E., Bhaduri, A., Bagga, P., Haris, M., Wilson, N. E., Liu, F., Gabunia, K., Scholler, J., Montine, T. J., Bhoj, V. G., Reddy, R., Mohan, S., Maillard, I., Kriegstein, A. R., June, C. H., Chang, H. Y., . . . Satpathy, A. T. (2020). Single-Cell Analyses Identify Brain Mural Cells Expressing CD19 as Potential Off-Tumor Targets for CAR-T Immunotherapies. Cell. https://doi.org/10.1016/j.cell.2020.08.022
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