Showing 1 - 3 of 3 results
1.
Spatiotemporal control of RNA metabolism and CRISPR-Cas functions using engineered photoswitchable RNA-binding proteins.
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Liu, R
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Yao, J
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Zhou, S
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Yang, J
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Zhang, Y
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Yang, X
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Li, L
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Zhang, Y
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Zhuang, Y
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Yang, Y
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Chen, X
Abstract:
RNA molecules perform various crucial roles in diverse cellular processes, from translating genetic information to decoding the genome, regulating gene expression and catalyzing chemical reactions. RNA-binding proteins (RBPs) play an essential role in regulating the diverse behaviors and functions of RNA in live cells, but techniques for the spatiotemporal control of RBP activities and RNA functions are rarely reported yet highly desirable. We recently reported the development of LicV, a synthetic photoswitchable RBP that can bind to a specific RNA sequence in response to blue light irradiation. LicV has been used successfully for the optogenetic control of RNA localization, splicing, translation and stability, as well as for the photoswitchable regulation of transcription and genomic locus labeling. Compared to classical genetic or pharmacologic perturbations, LicV-based light-switchable effectors have the advantages of large dynamic range between dark and light conditions and submicron and millisecond spatiotemporal resolutions. In this protocol, we provide an easy, efficient and generalizable strategy for engineering photoswitchable RBPs for the spatiotemporal control of RNA metabolism. We also provide a detailed protocol for the conversion of a CRISPR-Cas system to optogenetic control. The protocols typically take 2-3 d, including transfection and results analysis. Most of this protocol is applicable to the development of novel LicV-based photoswitchable effectors for the optogenetic control of other RNA metabolisms and CRISPR-Cas functions.
2.
Optogenetic control of RNA function and metabolism using engineered light-switchable RNA-binding proteins.
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Liu, R
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Yang, J
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Yao, J
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Zhao, Z
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He, W
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Su, N
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Zhang, Z
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Zhang, C
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Zhang, Z
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Cai, H
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Zhu, L
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Zhao, Y
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Quan, S
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Chen, X
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Yang, Y
Abstract:
RNA-binding proteins (RBPs) play an essential role in regulating the function of RNAs in a cellular context, but our ability to control RBP activity in time and space is limited. Here, we describe the engineering of LicV, a photoswitchable RBP that binds to a specific RNA sequence in response to blue light irradiation. When fused to various RNA effectors, LicV allows for optogenetic control of RNA localization, splicing, translation and stability in cell culture. Furthermore, LicV-assisted CRISPR-Cas systems allow for efficient and tunable photoswitchable regulation of transcription and genomic locus labeling. These data demonstrate that the photoswitchable RBP LicV can serve as a programmable scaffold for the spatiotemporal control of synthetic RNA effectors.
3.
A single-component light sensor system allows highly tunable and direct activation of gene expression in bacterial cells.
Abstract:
Light-regulated modules offer unprecedented new ways to control cellular behaviour with precise spatial and temporal resolution. Among a variety of bacterial light-switchable gene expression systems, single-component systems consisting of single transcription factors would be more useful due to the advantages of speed, simplicity, and versatility. In the present study, we developed a single-component light-activated bacterial gene expression system (eLightOn) based on a novel LOV domain from Rhodobacter sphaeroides (RsLOV). The eLightOn system showed significant improvements over the existing single-component bacterial light-activated expression systems, with benefits including a high ON/OFF ratio of >500-fold, a high activation level, fast activation kinetics, and/or good adaptability. Additionally, the induction characteristics, including regulatory windows, activation kinetics and light sensitivities, were highly tunable by altering the expression level of LexRO. We demonstrated the usefulness of the eLightOn system in regulating cell division and swimming by controlling the expression of the FtsZ and CheZ genes, respectively, as well as constructing synthetic Boolean logic gates using light and arabinose as the two inputs. Taken together, our data indicate that the eLightOn system is a robust and highly tunable tool for quantitative and spatiotemporal control of bacterial gene expression.