ArticleNature communications2017
A multiplexable TALE-based binary expression system for in vivo cellular interaction studies.
Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Advances in the labelling and selective manipulation of synapses.Nature reviews. Neuroscience · 2024Review
- A new suite of reporter vectors and a novel landing site survey system to study cis-regulatory elements in diverse insect species.Scientific reports · 2024Article
- Spatial control of gene expression in flies using bacterially derived binary transactivation systems.Insect molecular biology · 2021Article
- In vivo locus-specific editing of the neuroepigenome.Nature reviews. Neuroscience · 2020Review
- Strategies for Functional Interrogation of Big Cancer Data Using Drosophila Cancer Models.International journal of molecular sciences · 2020Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Binary expression systems have revolutionised genetic research by enabling delivery of loss-of-function and gain-of-function transgenes with precise spatial-temporal resolution in vivo. However, at present, each existing platform relies on a defined exogenous transcription activator capable of binding a unique recognition sequence. Consequently, none of these technologies alone can be used to simultaneously target different tissues or cell types in the same organism. Here, we report a modular system based on programmable transcription activator-like effector (TALE) proteins, which enables parallel expression of multiple transgenes in spatially distinct tissues in vivo. Using endogenous enhancers coupled to TALE drivers, we demonstrate multiplexed orthogonal activation of several transgenes carrying cognate variable activating sequences (VAS) in distinct neighbouring cell types of the Drosophila central nervous system. Since the number of combinatorial TALE-VAS pairs is virtually unlimited, this platform provides an experimental framework for highly complex genetic manipulation studies in vivo.
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Registered trials
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