A light-gated transcriptional recorder for detecting cell-cell contacts.

A light-gated transcriptional recorder for detecting cell-cell contacts.
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DOI:
10.7554/elife.70881
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发表时间:
2022-03-21
期刊:
影响因子:
7.7
通讯作者:
Ting AY
Ting AY
中科院分区:
生物学1区
文献类型:
--
作者:
Cho KF;Gillespie SM;Kalogriopoulos NA;Quezada MA;Jacko M;Monje M;Ting AY

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检测细胞间接触的技术是研究广泛生物学过程的有力工具,从神经元信号传导到肿瘤微环境中的癌症-免疫相互作用。在这里,我们报告TRACC(细胞-细胞接触激活的转录读出),一种基于GPCR的细胞接触转录记录器,它将接触事件转化为稳定的转基因表达。TRACC源自我们先前的蛋白质-蛋白质相互作用记录器SPARK(Kim等人,2017)和SPARK 2(Kim等人,2019年,在这本杂志上发表。TRACC通过光氧电压感应(LOV)域结合了光门控,提供了用户定义的工具激活时间控制并减少了背景。我们表明,TRACC检测细胞与哺乳动物细胞培养的高特异性和灵敏度的细胞接触,它可以用来询问神经元和神经胶质瘤,一种形式的脑癌之间的相互作用。
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.