Journal
ELIFE
Volume 11, Issue -, Pages -Publisher
eLIFE SCIENCES PUBL LTD
DOI: 10.7554/eLife.70881
Keywords
synthetic biology; cell contacts; transcriptional reporter; None
Categories
Funding
- National Institutes of Health [RF1 MH117821, DP1NS111132, 2T32CA009302-41]
- Stanford Wu Tsai Neurosciences Institute
- Blavatnik Family Foundation
- ChoChan Zuckerberg Initiative
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In this study, the researchers developed a transcriptional recorder called TRACC, which detects cell-cell contacts and converts them into stable gene expression. TRACC showed high specificity and sensitivity in detecting cell-cell contacts and was successfully used to study interactions between neurons and glioma.
Technologies for detecting cell-cell contacts are powerful tools for studying a wide range of biological processes, from neuronal signaling to cancer-immune interactions within the tumor microenvironment. Here, we report TRACC (Transcriptional Readout Activated by Cell-cell Contacts), a GPCR-based transcriptional recorder of cellular contacts, which converts contact events into stable transgene expression. TRACC is derived from our previous protein-protein interaction recorders, SPARK (Kim et al., 2017) and SPARK2 (Kim et al., 2019), reported in this journal. TRACC incorporates light gating via the light-oxygen-voltage-sensing (LOV) domain, which provides user-defined temporal control of tool activation and reduces background. We show that TRACC detects cell-cell contacts with high specificity and sensitivity in mammalian cell culture and that it can be used to interrogate interactions between neurons and glioma, a form of brain cancer.
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