A versatile system to record cell-cell interactions.

Autor:	Tang R; Department of Genetics, Stanford University School of Medicine, Stanford, United States., Murray CW; Cancer Biology Program, Stanford University School of Medicine, Stanford, United States., Linde IL; Immunology Program, Stanford University School of Medicine, Stanford, United States., Kramer NJ; Department of Genetics, Stanford University School of Medicine, Stanford, United States.; Neuroscience Program, Stanford University School of Medicine, Stanford, United States., Lyu Z; Department of Neurosurgery, Stanford University School of Medicine, Stanford, United States., Tsai MK; Department of Genetics, Stanford University School of Medicine, Stanford, United States., Chen LC; Department of Genetics, Stanford University School of Medicine, Stanford, United States., Cai H; Department of Genetics, Stanford University School of Medicine, Stanford, United States., Gitler AD; Department of Genetics, Stanford University School of Medicine, Stanford, United States., Engleman E; Cancer Biology Program, Stanford University School of Medicine, Stanford, United States.; Immunology Program, Stanford University School of Medicine, Stanford, United States.; Department of Pathology, Stanford University School of Medicine, Stanford, United States., Lee W; Department of Neurosurgery, Stanford University School of Medicine, Stanford, United States., Winslow MM; Department of Genetics, Stanford University School of Medicine, Stanford, United States.; Cancer Biology Program, Stanford University School of Medicine, Stanford, United States.; Department of Pathology, Stanford University School of Medicine, Stanford, United States.
Jazyk:	angličtina
Zdroj:	ELife [Elife] 2020 Oct 07; Vol. 9. Date of Electronic Publication: 2020 Oct 07.
DOI:	10.7554/eLife.61080
Abstrakt:	Cell-cell interactions influence all aspects of development, homeostasis, and disease. In cancer, interactions between cancer cells and stromal cells play a major role in nearly every step of carcinogenesis. Thus, the ability to record cell-cell interactions would facilitate mechanistic delineation of the role of the cancer microenvironment. Here, we describe GFP-based Touching Nexus (G-baToN) which relies upon nanobody-directed fluorescent protein transfer to enable sensitive and specific labeling of cells after cell-cell interactions. G-baToN is a generalizable system that enables physical contact-based labeling between various human and mouse cell types, including endothelial cell-pericyte, neuron-astrocyte, and diverse cancer-stromal cell pairs. A suite of orthogonal baToN tools enables reciprocal cell-cell labeling, interaction-dependent cargo transfer, and the identification of higher order cell-cell interactions across a wide range of cell types. The ability to track physically interacting cells with these simple and sensitive systems will greatly accelerate our understanding of the outputs of cell-cell interactions in cancer as well as across many biological processes. Competing Interests: RT, CM, IL, NK, ZL, MT, LC, HC, AG, EE, WL, MW No competing interests declared (© 2020, Tang et al.)
Databáze:	MEDLINE
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