A multiplexable TALE-based binary expression system for in vivo cellular interaction studies
Markus Toegel,
Ghows Azzam,
Eunice Y. Lee,
David J. H. F. Knapp,
Ying Tan,
Ming Fa and
Tudor A. Fulga ()
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Markus Toegel: University of Oxford
Ghows Azzam: University of Oxford
Eunice Y. Lee: University of Oxford
David J. H. F. Knapp: University of Oxford
Ying Tan: GenetiVision Corporation
Ming Fa: GenetiVision Corporation
Tudor A. Fulga: University of Oxford
Nature Communications, 2017, vol. 8, issue 1, 1-11
Abstract:
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.
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-01592-3
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DOI: 10.1038/s41467-017-01592-3
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