The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Engineering Customized Cell Sensing and Response Behaviors Using Synthetic Notch Receptors
Open accessAbstract
The Notch protein is one of the most mechanistically direct transmembrane receptors – the intracellular domain contains a transcriptional regulator that is released from the membrane when engagement of the cognate extracellular ligand induces intramembrane proteolysis. We find that chimeric forms of Notch, in which both the extracellular sensor module and the intracellular transcriptional module are replaced with heterologous protein domains, can serve as a general platform for generating novel cell-cell contact signaling pathways. Synthetic Notch (synNotch) pathways can drive user-defined functional responses in diverse mammalian cell types. Because individual synNotch pathways do not share common signaling intermediates, the pathways are functionally orthogonal. Thus multiple synNotch receptors can be used in the same cell to achieve combinatorial integration of environmental cues, including Boolean response programs, multi-cellular signaling cascades, and self-organized cellular patterns. SynNotch receptors provide extraordinary flexibility in engineering cells with customized sensing/response behaviors to user-specified extracellular cues.
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Cites
Blume-Jensen, P., & Hunter, T. (2001) · Nature · doi:10.1038/35077225 · Cited by 3,738 · cited 2×
“Unlike tyrosine kinase receptors (of which humans have $50 diverse family members), there are only one to four closely related versions of Notch in most metazoan species (Blume-Jensen and Hunter, 2001; Kovall and Blacklow, 2010).”
BackgroundChimeric 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
The second wave of synthetic biology: from modules to systems
Purnick, P. E. M., & Weiss, R. (2009) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm2698 · Cited by 1,181
The genome of the choanoflagellate Monosiga brevicollis and the origin of metazoans
King, N., Westbrook, M. J., Young, S. L., Kuo, A., Abedin, M., Chapman, J., Fairclough, S., Hellsten, U., Isogai, Y., Letunic, I., et al. (2008) · Nature · doi:10.1038/nature06617 · Cited by 1,139
Self-citationDynamics and Memory of Heterochromatin in Living Cells
Hathaway, N. A., Bell, O., Hodges, C., Miller, E. L., Neel, D. S., & Crabtree, G. R. (2012) · Cell · doi:10.1016/j.cell.2012.03.052 · Cited by 446
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Progress and potential in organoid research
Rossi, G., Manfrin, A., & Lutolf, M. P. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0051-9 · Cited by 1,182
Engineered T cells: the promise and challenges of cancer immunotherapy
Fesnak, A. D., June, C. H., & Levine, B. L. (2016) · Nature Reviews Cancer · doi:10.1038/nrc.2016.97 · Cited by 1,074
Zhang, C., Liu, J., Zhong, J. F., & Zhang, X. (2017) · Biomarker Research · doi:10.1186/s40364-017-0102-y · Cited by 578
Programming self-organizing multicellular structures with synthetic cell-cell signaling
Toda, S., Blauch, L. R., Tang, S. K. Y., Morsut, L., & Lim, W. A. (2018) · Science · doi:10.1126/science.aat0271 · Cited by 470
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Metadata
- Authors
- Morsut, L., Roybal, K. T., Xiong, X., Gordley, R. M., Coyle, S. M., Thomson, M., & Lim, W. A.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 164
- Issue
- 4
- Pages
- 780-791
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2256857837
- Cited by
- 1,000
- References
- 5
- FWCI
- 34.91
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Morsut, L., Roybal, K. T., Xiong, X., Gordley, R. M., Coyle, S. M., Thomson, M., & Lim, W. A. (2016). Engineering Customized Cell Sensing and Response Behaviors Using Synthetic Notch Receptors. Cell. https://doi.org/10.1016/j.cell.2016.01.012
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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.
