Computational Design of Small Transcription Activating RNAs (STARs)

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Abstract

A major goal of synthetic biology has been to develop libraries of versatile genetic regulators that enable the precise control of gene expression. In recent years, the creation of novel RNA design motifs has allowed for the bottom-up, computational design of large libraries of high-performing and orthogonal RNA regulator systems. One example of this is Small Transcription Activating RNAs (STARs), which function through the conditional formation of terminator hairpins to activate the transcription of targeted genes. STARs have found broad utility for creating synthetic gene circuits, engineering metabolic pathways, and creating new types of diagnostics. Here we describe the method to computationally design, build, and characterize STAR regulators.

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Liu, B., & Chappell, J. (2022). Computational Design of Small Transcription Activating RNAs (STARs). In Methods in Molecular Biology (Vol. 2518, pp. 87–97). Humana Press Inc. https://doi.org/10.1007/978-1-0716-2421-0_5

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