A universal strategy for regulating mRNA translation in prokaryotic and eukaryotic cells

Repurposing the mammalian RNA-binding protein Musashi-1 as an allosteric translation repressor in bacteria

The RNA recognition motif (RRM) is the most common RNA-binding protein domain identified in nature. However, RRM-containing proteins are only prevalent in eukaryotic phyla, in which they play central regulatory roles. Here, we engineered an orthogonal post-transcriptional control system of gene expression in the bacterium Escherichia coli with the mammalian RNA-binding protein Musashi-1, which is a stem cell marker with neurodevelopmental role that contains two canonical RRMs. In the circuit, Musashi-1 is regulated transcriptionally and works as an allosteric translation repressor thanks to a specific interaction with the N-terminal coding region of a messenger RNA and its structural plasticity to respond to fatty acids. We fully characterized the genetic system at the population and single-cell levels showing a significant fold change in reporter expression, and the underlying molecular mechanism by assessing the in vitro binding kinetics and in vivo functionality of a series of RNA mutants. The dynamic response of the system was well recapitulated by a bottom-up mathematical model. Moreover, we applied the post-transcriptional mechanism engineered with Musashi-1 to specifically regulate a gene within an operon, implement combinatorial regulation, and reduce protein expression noise. This work illustrates how RRM-based regulation can be adapted to simple organisms, thereby adding a new regulatory layer in prokaryotes for translation control.

Simultaneous multifunctional transcriptome engineering by CRISPR RNA scaffold

RNA processing and metabolism are subjected to precise regulation in the cell to ensure integrity and functions of RNA. Though targeted RNA engineering has become feasible with the discovery and engineering of the CRISPR-Cas13 system, simultaneous modulation of different RNA processing steps remains unavailable. In addition, off-target events resulting from effectors fused with dCas13 limit its application. Here we developed a novel platform, Combinatorial RNA Engineering via Scaffold Tagged gRNA (CREST), which can simultaneously execute multiple RNA modulation functions on different RNA targets. In CREST, RNA scaffolds are appended to the 3' end of Cas13 gRNA and their cognate RNA binding proteins are fused with enzymatic domains for manipulation. Taking RNA alternative splicing, A-to-G and C-to-U base editing as examples, we developed bifunctional and tri-functional CREST systems for simultaneously RNA manipulation. Furthermore, by fusing two split fragments of the deaminase domain of ADAR2 to dCas13 and/or PUFc respectively, we reconstituted its enzyme activity at target sites. This split design can reduce nearly 99% of off-target events otherwise induced by a full-length effector. The flexibility of the CREST framework will enrich the transcriptome engineering toolbox for the study of RNA biology.

Harnessing PUF-Based Reporters for Noninvasive Imaging of the MicroRNA Dynamics in Differentiation

Precise characterization of miRNA expression patterns is critical to exploit the complexity of miRNA regulation in biology. Herein, we developed a Pumilio/FBF (PUF) protein-based engineering luciferase reporter system, PUF/miR, to quantitatively and non-invasively sense miRNA activity in living cells and animal models. We verified the feasibility of this reporter by monitoring the expression of several types of miRNAs (miRNA-9, 124a, 1, and 133a) in neural and muscle differentiated cells as well as subcutaneous or tibial anterior muscles in mice. The quantitative RT-PCR also validated the reliability and quantitative consistency of bioluminescence imaging in detecting miRNA expression. We further effectively employed this reporter system to visualize the expression of miRNA-1 and miRNA-133a in mouse models of skeletal muscle injury. As a non-invasive and convenient innovative approach, our results have realized the positive bioluminescence imaging of endogenous miRNAs in vitro and in vivo using the PUF/miR system. We believe that this approach would provide a potential means for noninvasive monitoring of disease-related miRNAs and could facilitate a deeper understanding of miRNA biology.

Autoinduction Expression Modules for Regulating Gene Expression in Bacillus subtilis

Although quorum sensing (QS) promoters that can autonomously activate gene expression have been identified and engineered in Bacillus subtilis, researchers focus on quantifying individual promoters while ignoring the interaction between other genetic regulatory elements. Here, we constructed the autoinduction expression modules consisting of promoters responsive to QS ComQXPA, ribosome binding sites (RBSs), and terminators. Using superfolder green fluorescent protein (sfGFP) as a reporter gene, three individual element libraries were generated from 945 promoters, 12,000 RBSs, and 425 terminators by random mutation, de novo design, and database mining strategies, respectively. Then, the efficiency of three libraries in regulating gene expression was further enhanced by engineering the core region of each optimal element. After hybridizing the element libraries, the generated expression modules exhibited a 627-fold range in regulating gene expression without significantly affecting the autoinduction initiation. Here, the hybrid modules with broad expression strength may benefit the application of QS-based autoinduction systems in B. subtilis.

Sequence-specific targeting of RNA

Post-transcriptional modifications play an important role in several processes, including translation, splicing, and RNA degradation in eukaryotic cells. To investigate the function of specific modifications it is of high interest to develop tools for sequence-specific RNA-targeting. This work focuses on two abundant modifications of eukaryotic mRNA, namely methylation of the guanine-N7 position of the 5'-cap and internal N⁶-methyladenosine (m⁶A). We describe the sequence-specific targeting of model RNA transcripts via RNA-binding proteins, such as nuclease-deficient RNA-targeting Cas9 (RCas9) and the Pumilio homology domain (PumHD) fused to two different effector enzymes, the dioxygenase FTO and the guanine-N7 methyltransferase Ecm1. With this tool, we were able to install and remove the methylation at the respective positions with high specificity.

Synthetic RNA-based post-transcriptional expression control methods and genetic circuits

RNA-based synthetic genetic circuits provide an alternative for traditional transcription-based circuits in applications where genomic integration is to be avoided. Incorporating various post-transcriptional control methods into such circuits allows for controlling the behaviour of the circuit through the detection of certain biomolecular inputs or reconstituting defined circuit behaviours, thus manipulating cellular functions. In this review, recent developments of various types of post-transcriptional control methods in mammalian cells are discussed as well as auxiliary components that allow for the creation and development of mRNA-based switches. How such post-transcriptional switches are combined into synthetic circuits as well as their applications in biomedical and preclinical settings are also described. Finally, we examine the challenges that need to be surmounted before RNA-based synthetic circuits can be reliably deployed into clinical settings.

Programmable RNA methylation and demethylation using PUF RNA binding proteins

A new method manipulating local RNA methylation was developed by fusing the programmable RNA binding protein and the m⁶A demethylase or methyltransferase.

The potential of engineered eukaryotic RNA-binding proteins as molecular tools and therapeutics

Eukaroytic RNA-binding proteins (RBPs) recognize and process RNAs through recognition of their sequence motifs via RNA-binding domains (RBDs). RBPs usually consist of one or more RBDs and can include additional functional domains that modify or cleave RNA. Engineered RBPs have been used to answer basic biology questions, control gene expression, locate viral RNA in vivo, as well as many other tasks. Given the growing number of diseases associated with RNA and RBPs, engineered RBPs also have the potential to serve as therapeutics. This review provides an in depth description of recent advances in engineered RBPs and discusses opportunities and challenges in the field. This article is categorized under: RNA Interactions with Proteins and Other Molecules > Protein-RNA Recognition RNA Methods > RNA Nanotechnology RNA in Disease and Development > RNA in Disease.

Modulation of miRNA function by natural and synthetic RNA-binding proteins in cancer

RNA-binding proteins (RBPs) and microRNAs (miRNAs) are the most important regulators of mRNA stability and translation in eukaryotic cells; however, the complex interplay between these systems is only now coming to light. RBPs and miRNAs regulate a unique set of targets in either a positive or negative manner and their regulation is mainly opposed to each other on overlapping targets. In some cases, the levels of RBPs or miRNAs regulate the cellular levels of one another and decreased levels of either results in changes in translation of their targets. There is growing evidence that these regulatory circuits are crucial in the development and progression of cancer; however, the rules underlying synergism and antagonism between miRNAs and RNA-binding proteins remain unclear. Synthetic biology seeks to develop artificial systems to better understand their natural counterparts and to develop new, useful technologies for manipulation of gene expression at the RNA level. The recent development of artificial RNA-binding proteins promises to enable a much greater understanding of the importance of the functional interactions between RNA-binding proteins and miRNAs, as well as enabling their manipulation for therapeutic purposes.

A Yeast System for Discovering Optogenetic Inhibitors of Eukaryotic Translation Initiation

The precise spatiotemporal regulation of protein synthesis is essential for many complex biological processes such as memory formation, embryonic development, and tumor formation. Current methods used to study protein synthesis offer only a limited degree of spatiotemporal control. Optogenetic methods, in contrast, offer the prospect of controlling protein synthesis noninvasively within minutes and with a spatial scale as small as a single synapse. Here, we present a hybrid yeast system where growth depends on the activity of human eukaryotic initiation factor 4E (eIF4E) that is suitable for screening optogenetic designs for the down-regulation of protein synthesis. We used this system to screen a diverse initial panel of 15 constructs designed to couple a light switchable domain (PYP, RsLOV, AsLOV, Dronpa) to 4EBP2 (eukaryotic initiation factor 4E binding protein 2), a native inhibitor of translation initiation. We identified cLIPS1 (circularly permuted LOV inhibitor of protein synthesis 1), a fusion of a segment of 4EBP2 and a circularly permuted version of the LOV2 domain from Avena sativa, as a photoactivated inhibitor of translation. Adapting the screen for higher throughput, we tested small libraries of cLIPS1 variants and found cLIPS2, a construct with an improved degree of optical control. We show that these constructs can both inhibit translation in yeast harboring a human eIF4E in vivo, and bind human eIF4E in vitro in a light-dependent manner. This hybrid yeast system thus provides a convenient way for discovering optogenetic constructs that can regulate human eIF4E-dependent translation initiation in a mechanistically defined manner.

Synthetic mRNA devices that detect endogenous proteins and distinguish mammalian cells

Synthetic biology has great potential for future therapeutic applications including autonomous cell programming through the detection of protein signals and the production of desired outputs. Synthetic RNA devices are promising for this purpose. However, the number of available devices is limited due to the difficulty in the detection of endogenous proteins within a cell. Here, we show a strategy to construct synthetic mRNA devices that detect endogenous proteins in living cells, control translation and distinguish cell types. We engineered protein-binding aptamers that have increased stability in the secondary structures of their active conformation. The designed devices can efficiently respond to target proteins including human LIN28A and U1A proteins, while the original aptamers failed to do so. Moreover, mRNA delivery of an LIN28A-responsive device into human induced pluripotent stem cells (hiPSCs) revealed that we can distinguish living hiPSCs and differentiated cells by quantifying endogenous LIN28A protein expression level. Thus, our endogenous protein-driven RNA devices determine live-cell states and program mammalian cells based on intracellular protein information.

A FACS-based screening strategy to assess sequence-specific RNA-binding of Pumilio protein variants in E. coli

Sequence-specific and programmable binding of proteins to RNA bears the potential to detect and manipulate target RNAs. Applications include analysis of subcellular RNA localization or post-transcriptional regulation but require sequence-specificity to be readily adjustable to any target RNA. The Pumilio homology domain binds an eight nucleotide target sequence in a predictable manner allowing for rational design of variants with new specificities. We describe a high-throughput system for screening Pumilio variants based on fluorescence-activated cell sorting of E. coli. Our approach should help optimizing variants obtained from rational design regarding folding and stability or identifying new variants with alternative binding modes.

Engineering reprogrammable RNA-binding proteins for study and manipulation of the transcriptome

With the expanding interest in RNA biology, interest in artificial RNA-binding proteins (RBPs) is likewise increasing. RBPs can be designed in a modular fashion, whereby effector and RNA-binding domains are combined in chimeric proteins that exhibit both functions and can be applied for regulation of a broad range of biological processes. The elucidation of the RNA recognition code for Pumilio and fem-3 mRNA-binding factor (PUF) homology proteins allowed engineering of artificial RBPs for targeting endogenous mRNAs. In this review, we will focus on the recent advances in elucidating and reprogramming PUF domain specificity, update on several promising applications of PUF-based designer RBPs, and discuss some other domains that hold the potential to be used as the RNA-binding scaffolds for designer RBP engineering.

A synthetic gene circuit for measuring autoregulatory feedback control

Autoregulatory feedback loops occur in the regulation of molecules ranging from ATP to MAP kinases to zinc. Negative feedback loops can increase a system's robustness, while positive feedback loops can mediate transitions between cell states. Recent genome-wide experimental and computational studies predict hundreds of novel feedback loops. However, not all physical interactions are regulatory, and many experimental methods cannot detect self-interactions. Our understanding of regulatory feedback loops is therefore hampered by the lack of high-throughput methods to experimentally quantify the presence, strength and temporal dynamics of autoregulatory feedback loops. Here we present a mathematical and experimental framework for high-throughput quantification of feedback regulation and apply it to RNA binding proteins (RBPs) in yeast. Our method is able to determine the existence of both direct and indirect positive and negative feedback loops, and to quantify the strength of these loops. We experimentally validate our model using two RBPs which lack native feedback loops and by the introduction of synthetic feedback loops. We find that RBP Puf3 does not natively participate in any direct or indirect feedback regulation, but that replacing the native 3'UTR with that of COX17 generates an auto-regulatory negative feedback loop which reduces gene expression noise. Likewise, RBP Pub1 does not natively participate in any feedback loops, but a synthetic positive feedback loop involving Pub1 results in increased expression noise. Our results demonstrate a synthetic experimental system for quantifying the existence and strength of feedback loops using a combination of high-throughput experiments and mathematical modeling. This system will be of great use in measuring auto-regulatory feedback by RNA binding proteins, a regulatory motif that is difficult to quantify using existing high-throughput methods.

RNA-based gene circuits for cell regulation

A major goal of synthetic biology is to control cell behavior. RNA-mediated genetic switches (RNA switches) are devices that serve this purpose, as they can control gene expressions in response to input signals. In general, RNA switches consist of two domains: an aptamer domain, which binds to an input molecule, and an actuator domain, which controls the gene expression. An input binding to the aptamer can cause the actuator to alter the RNA structure, thus changing access to translation machinery. The assembly of multiple RNA switches has led to complex gene circuits for cell therapies, including the selective killing of pathological cells and purification of cell populations. The inclusion of RNA binding proteins, such as L7Ae, increases the repertoire and precision of the circuit. In this short review, we discuss synthetic RNA switches for gene regulation and their potential therapeutic applications.