Ryan Marshall

The All E. coli TX-TL Toolbox 2.0: A Platform for Cell-Free Synthetic Biology

We report on and provide a detailed characterization of the performance and properties of a recently developed, all Escherichia coli, cell-free transcription and translation system. Gene expression is entirely based on the endogenous translation components and transcription machinery provided by an E. coli cytoplasmic extract, thus expanding the repertoire of regulatory parts to hundreds of elements. We use a powerful metabolism for ATP regeneration to achieve more than 2 mg/mL of protein synthesis in batch mode reactions, and more than 6 mg/mL in semicontinuous mode. While the strength of cell-free expression is increased by a factor of 3 on average, the output signal of simple gene circuits and the synthesis of entire bacteriophages are increased by orders of magnitude compared to previous results. Messenger RNAs and protein degradation, respectively tuned using E. coli MazF interferase and ClpXP AAA+ proteases, are characterized over a much wider range of rates than the first version of the cell-free toolbox. This system is a highly versatile cell-free platform to construct complex biological systems through the execution of DNA programs composed of synthetic and natural bacterial regulatory parts.

Short DNA containing χ sites enhances DNA stability and gene expression in E. coli cell-free transcription–translation systems

Escherichia coli cell-free transcription-translation (TXTL) systems offer versatile platforms for advanced biomanufacturing and for prototyping synthetic biological parts and devices. Production and testing could be accelerated with the use of linear DNA, which can be rapidly and cheaply synthesized. However, linear DNA is efficiently degraded in TXTL preparations from E. coli. Here, we show that double-stranded DNA encoding χ sites-eight base-pair sequences preferentially bound by the RecBCD recombination machinery-stabilizes linear DNA and greatly enhances the TXTL-based expression and activity of a fluorescent reporter gene, simple regulatory cascades, and T7 bacteriophage particles. The χ-site DNA and the DNA-binding λ protein Gam yielded similar enhancements, and DNA with as few as four χ sites was sufficient to ensure robust gene expression in TXTL. Given the affordability and scalability of producing the short χ-site DNA, this generalized strategy is expected to advance the broad use of TXTL systems across its many applications. Biotechnol. Bioeng. 2017;114: 2137-2141.

Tuning of Recombinant Protein Expression in Escherichia coli by Manipulating Transcription, Translation Initiation Rates, and Incorporation of Noncanonical Amino Acids

Protein synthesis in cells has been thoroughly investigated and characterized over the past 60 years. However, some fundamental issues remain unresolved, including the reasons for genetic code redundancy and codon bias. In this study, we changed the kinetics of the Eschrichia coli transcription and translation processes by mutating the promoter and ribosome binding domains and by using genetic code expansion. The results expose a counterintuitive phenomenon, whereby an increase in the initiation rates of transcription and translation lead to a decrease in protein expression. This effect can be rescued by introducing slow translating codons into the beginning of the gene, by shortening gene length or by reducing initiation rates. On the basis of the results, we developed a biophysical model, which suggests that the density of co-transcriptional-translation plays a role in bacterial protein synthesis. These findings indicate how cells use codon bias to tune translation speed and protein synthesis.

Mathematical Modeling of RNA-Based Architectures for Closed Loop Control of Gene Expression

Feedback allows biological systems to control gene expression precisely and reliably, even in the presence of uncertainty, by sensing and processing environmental changes. Taking inspiration from natural architectures, synthetic biologists have engineered feedback loops to tune the dynamics and improve the robustness and predictability of gene expression. However, experimental implementations of biomolecular control systems are still far from satisfying performance specifications typically achieved by electrical or mechanical control systems. To address this gap, we present mathematical models of biomolecular controllers that enable reference tracking, disturbance rejection, and tuning of the temporal response of gene expression. These controllers employ RNA transcriptional regulators to achieve closed loop control where feedback is introduced via molecular sequestration. Sensitivity analysis of the models allows us to identify which parameters influence the transient and steady state response of a target gene expression process, as well as which biologically plausible parameter values enable perfect reference tracking. We quantify performance using typical control theory metrics to characterize response properties and provide clear selection guidelines for practical applications. Our results indicate that RNA regulators are well-suited for building robust and precise feedback controllers for gene expression. Additionally, our approach illustrates several quantitative methods useful for assessing the performance of biomolecular feedback control systems.

Synthesis of Infectious Bacteriophages in an E. coli-based Cell-free Expression System

A new generation of cell-free transcription-translation (TXTL) systems, engineered to have a greater versatility and modularity, provide novel capabilities to perform basic and applied sciences in test tube reactions. Over the past decade, cell-free TXTL has become a powerful technique for a broad range of novel multidisciplinary research areas related to quantitative and synthetic biology. The new TXTL platforms are particularly useful to construct and interrogate biochemical systems through the execution of synthetic or natural gene circuits. In vitro TXTL has proven convenient to rapidly prototype regulatory elements and biological networks as well as to recapitulate molecular self-assembly mechanisms found in living systems. In this article, we describe how infectious bacteriophages, such as MS2 (RNA), ΦΧ174 (ssDNA), and T7 (dsDNA), are entirely synthesized from their genome in one-pot reactions using an all Escherichia coli, cell-free TXTL system. Synthesis of the three coliphages is quantified using the plaque assay. We show how the yield of synthesized phage depends on the biochemical settings of the reactions. Molecular crowding, emulated through a controlled concentration of PEG 8000, affects the amount of synthesized phages by orders of magnitudes. We also describe how to amplify the phages and how to purify their genomes. The set of protocols and results presented in this work should be of interest to multidisciplinary researchers involved in cell-free synthetic biology and bioengineering.

Distinct timescales of RNA regulators enable the construction of a genetic pulse generator

To build complex genetic networks with predictable behaviours, synthetic biologists use libraries of modular parts that can be characterized in isolation and assembled together to create programmable higher-order functions. Characterization experiments and computational models for gene regulatory parts operating in isolation are routinely employed to predict the dynamics of interconnected parts and guide the construction of new synthetic devices. Here, we individually characterize two modes of RNA-based transcriptional regulation, using small transcription activating RNAs (STARs) and CRISPR interference (CRISPRi), and show how their distinct regulatory timescales can be used to engineer a composed feedforward loop that creates a pulse of gene expression. We use a cell-free transcription-translation system (TXTL) to rapidly characterize the system, and we apply Bayesian inference to extract kinetic parameters for an ODE-based mechanistic model. We then demonstrate in simulation and verify with TXTL experiments that the simultaneous regulation of a single gene target with STARs and CRISPRi leads to a pulse of gene expression. Our results suggest the modularity of the two regulators in an integrated genetic circuit, and we anticipate that construction and modeling frameworks that can leverage this modularity will become increasingly important as synthetic circuits increase in complexity.

Synthetic Biology with an All E. coli TXTL System: Quantitative Characterization of Regulatory Elements and Gene Circuits

Over the past decade, a new generation of cell-free transcription-translation (TXTL) systems has been devised for emerging multidisciplinary applications. The DNA-dependent in vitro protein synthesis technology has been developed to tackle applications in synthetic biology, biological and chemical engineering, as well as quantitative disciplines such as biophysics. In addition to being convenient at the biosafety level, the new TXTL platforms are user-friendly; more affordable; more versatile at the level of transcription, with a TX repertoire covering hundreds of parts; and more powerful, with protein production reaching a few mg/mL in batch and continuous modes. As a consequence, TXTL is rising up as a popular research tool and is used by a growing research community. While TXTL is proving reliable for an increasing number of applications, it is important to gain appropriate TXTL skills, especially for quantitative applications. TXTL has become particularly useful to rapidly prototype genetic devices , from single regulatory elements to elementary circuit motifs . In this chapter, we describe the basic procedures to develop appropriate TXTL practices for the characterization of such genetic parts. We use an all E. coli TXTL system developed in our lab, now commercialized by Arbor Biosciences under the name myTXTL.

A detailed cell-free transcription-translation-based assay to decipher CRISPR protospacer-adjacent motifs

The RNA-guided nucleases derived from the CRISPR-Cas systems in bacteria and archaea have found numerous applications in biotechnology, including genome editing, imaging, and gene regulation. However, the discovery of novel Cas nucleases has outpaced their characterization and subsequent exploitation. A key step in characterizing Cas nucleases is determining which protospacer-adjacent motif (PAM) sequences they recognize. Here, we report advances to an in vitro method based on an E. coli cell-free transcription-translation system (TXTL) to rapidly elucidate PAMs recognized by Cas nucleases. The method obviates the need for cloning Cas nucleases or gRNAs, does not require the purification of protein or RNA, and can be performed in less than a day. To advance our previously published method, we incorporated an internal GFP cleavage control to assess the extent of library cleavage as well as Sanger sequencing of the cleaved library to assess PAM depletion prior to next-generation sequencing. We also detail the methods needed to construct all relevant DNA constructs, and how to troubleshoot the assay. We finally demonstrate the technique by determining PAM sequences recognized by the Neisseria meningitidis Cas9, revealing subtle sequence requirements of this highly specific PAM. The overall method offers a rapid means to identify PAMs recognized by diverse CRISPR nucleases, with the potential to greatly accelerate our ability to characterize and harness novel CRISPR nucleases across their many uses.