Kinetic modeling of in vitro enzymatic reaction networks is vital to understand and control the complex behaviors emerging from the nonlinear interactions inside. However, modeling is severely hampered by the lack of training data. Here, we introduce a methodology that combines an active learning-like approach and flow chemistry to efficiently create optimized datasets for a highly interconnected enzymatic reactions network with multiple sub-pathways. The optimal experimental design (OED) algorithm designs a sequence of out-of-equilibrium perturbations to maximize the information about the reaction kinetics, yielding a descriptive model that allows control of the output of the network towards any cost function. We experimentally validate the model by forcing the network to produce different product ratios while maintaining a minimum level of overall conversion efficiency. Our workflow scales with the complexity of the system and enables the optimization of previously unobtainable network outputs.

Abstract Kinetic modelling of in vitro constructed enzymatic reaction works is vital to understand and control the complex behaviours emerging from the abundant nonlinear interactions inside. However, modelling is severely hampered by the lack of training data. Here, we introduce a methodology that combines an active learning-like approach and flow chemistry to efficiently create optimized datasets for a highly interconnected enzymatic reactions network with multiple inputs and multiple outputs. The optimal experimental design (OED) algorithm designed a sequence of out-of-equilibrium perturbations to maximise the information about the reaction kinetics, yielding a descriptive model that allowed inverse design of the output of the network towards any cost function. We experimentally validated the model by forcing the network to produce different product ratios while maintaining a minimum level of overall conversion efficiency. Our workflow scales with the complexity of the system and enables the inverse design of previously unobtainable network outputs.

Biochemical reactions that involve small numbers of moleculesareaccompanied by a degree of inherent randomness that results in noisyreaction outcomes. In synthetic biology, the ability to minimize noiseparticularly during the reconstitution of future synthetic protocellsis an outstanding challenge to secure robust and reproducible behavior.Here we show that by encapsulation of a bacterial cell-free gene expressionsystem in water-in-oil droplets, in vitro-synthesizedMazF reduces cell-free gene expression noise >2-fold. With stochasticsimulations we identify that this noise minimization acts throughboth increased degradation and the autoregulatory feedback of MazF.Specifically, we find that the expression of MazF enhances the degradationrate of mRNA up to 18-fold in a sequence-dependent manner. This sequencespecificity of MazF would allow targeted noise control, making itideal to integrate into synthetic gene networks. Therefore, includingMazF production in synthetic biology can significantly minimize geneexpression noise, impacting future design principles of more complexcell-free gene circuits.

Cell-free expression(CFE) systems are fundamental to reconstituting metabolic pathways in vitro toward the constructionof a synthetic cell. Although an Escherichia coli-based CFE system is well-established, simpler model organisms arenecessary to understand the principles behind life-like behavior.Here, we report the successful creation of a CFE system derived fromJCVI-syn3A (Syn3A), the minimal synthetic bacterium. Previously, highribonuclease activity in Syn3A lysates impeded the establishment offunctional CFE systems. Now, we describe how an unusual cell lysismethod (nitrogen decompression) yielded Syn3A lysates with reducedribonuclease activity that supported in vitro expression.To improve the protein yields in the Syn3A CFE system, we optimizedthe Syn3A CFE reaction mixture using an active machine learning tool.The optimized reaction mixture improved the CFE 3.2-fold comparedto the preoptimized condition. This is the first report of a functionalCFE system derived from a minimal synthetic bacterium, enabling furtheradvances in bottom-up synthetic biology.

Abstract Cell-free expression (CFE) systems are one of the main platforms for building synthetic cells. A major drawback is the orthogonality of cell-free systems across species. To generate a CFE system compatible with recently established minimal cell constructs, we attempted to optimize a Mycoplasma bacterium-based CFE system using lysates of the genome-minimized cell JCVI-syn3A (Syn3A) and its close phylogenetic relative Mycoplasma capricolum (Mcap). To produce mycoplasma-derived crude lysates, we systematically tested methods commonly used for bacteria, based on the S30 protocol of Escherichia coli. Unexpectedly, after numerous attempts to optimize lysate production methods or composition of feeding buffer, none of the Mcap or Syn3A lysates supported cell-free gene expression. Only modest levels of in vitro transcription of RNA aptamers were observed. While our experimental systems were intended to perform transcription and translation, our assays focused on RNA. Further investigations identified persistently high ribonuclease (RNase) activity in all lysates, despite removal of recognizable nucleases from the respective genomes and attempts to inhibit nuclease activities in assorted CFE preparations. An alternative method using digitonin to permeabilize the mycoplasma cell membrane produced a lysate with diminished RNase activity yet still was unable to support cell-free gene expression. We found that intact mycoplasma cells poisoned E. coli cell-free extracts by degrading ribosomal RNAs, indicating that the mycoplasma cells, even the minimal cell, have a surface-associated RNase activity. However, it is not clear which gene encodes the RNase. This work summarizes attempts to produce mycoplasma-based CFE and serves as a cautionary tale for researchers entering this field. Graphical Abstract

T-cell acute lymphoblastic leukemia causes a disproportional amount of immature white blood cells in the patients' bone marrow. The significant undesired side effects associated with traditional chemotherapy treatment prompted us to study a more effective treatment strategy. We decorated polyisocyanopeptide scaffolds with the selective leukemia cell binding aptamer sgc8c and found that the polymers inhibit proliferation by G0/G1-phase arrest, serving as an opportunity for future therapeutic strategies.

Three-dimensional spheroids of non-malignant MCF10A and malignant SKBR3 breast cells were used for subsequent 3D Cell-SELEX to generate aptamers for specific binding and treatment of breast cancer cells. Using 3D Cell-SELEX combined with Next-Generation Sequencing and bioinformatics, ten abundant aptamer families with specific structures were identified that selectively bind to SKBR3, and not to MCF10A cells. Multivalent aptamer polymers were synthesized by co-polymerization and analyzed for binding performance as well as therapeutic efficacy. Binding performance was determined by confocal fluorescence imaging and revealed specific binding and efficient internalization of aptamer polymers into SKBR3 spheroids. For therapeutic purposes, DNA sequences that intercalate the cytotoxic drug doxorubicin were co-polymerized into the aptamer polymers. Viability tests show that the drug-loaded polymers are specific and effective in killing SKBR3 breast cancer cells. Thus, the 3D-selected aptamers enhanced the specificity of doxorubicin against malignant over non-malignant breast cells. The innovative modular DNA aptamer platform based on 3D Cell SELEX and polymer multivalency holds great promise for diagnostics and treatment of breast cancer.

Nucleosomes are a crucial platform for the recruitment and assembly of protein complexes that process the DNA. Mechanistic and structural in vitro studies typically rely on recombinant nucleosomes that are reconstituted using artificial, strong-positioning DNA sequences. To facilitate such studies on native, genomic nucleosomes, there is a need for methods to produce any desired DNA sequence in an efficient manner. The current methods either do not offer much flexibility in choice of sequence or are less efficient in yield and labor. Here, we show that ramified rolling circle amplification (RCA) can be used to produce milligram amounts of a genomic nucleosomal DNA fragment in a scalable, one-pot reaction overnight. The protocol is efficient and flexible in choice of DNA sequence. It yields 10-fold more product than PCR, and rivals production using plasmids. We demonstrate the approach by producing the genomic DNA from the human LIN28B locus and show that it forms functional nucleosomes capable of binding pioneer transcription factor Oct4.

The formation of cytomimetic protocells that capture the physicochemical aspects of living cells is an important goal in bottom-up synthetic biology. Here, we recreated the crowded cytoplasm in liposome-based protocells and studied the kinetics of cell-free gene expression in these crowded containers. We found that diffusion of key components is affected not only by macromolecular crowding but also by enzymatic activity in the protocell. Surprisingly, size-dependent diffusion in crowded conditions yielded two distinct maxima for protein synthesis, reflecting the differential impact of crowding on transcription and translation. Our experimental data show, for the first time, that macromolecular crowding induces a switch from reaction to diffusion control and that this switch depends on the sizes of the macromolecules involved. These results highlight the need to control the physical environment in the design of synthetic cells.

ABSTRACTNucleosomes are a crucial platform for the recruitment and assembly of protein complexes that process the DNA. Mechanistic and structuralin vitrostudies typically rely on recombinant nucleosomes that are reconstituted using artificial, strong-positioning DNA sequences. To facilitate such studies on native, genomic nucleosomes, there is a need for methods to produce any desired DNA sequence in an efficient manner. The current methods either do not offer much flexibility in choice of sequence or are less efficient in yield and labor. Here, we show that using ramified rolling circle amplification (RCA) milligram amounts of a genomic nucleosomal DNA fragment can be produced in a scalable, one-pot reaction overnight. The ramified RCA reaction is more efficient than the existing methods, is flexible in DNA sequence and shows a 10-fold increase in yield compared to PCR, rivalling the production using plasmids. We demonstrate the method by producing the genomic DNA from the human LIN28B locus and show that it forms functional nucleosomes capable of binding pioneer transcription factor Oct4.

Out-of-equilibrium self-assembly of proteins such as actin and tubulin is a key regulatory process controlling cell shape, motion and division. The design of functional nanosystems based on dissipative self-assembly has proven to be remarkably difficult due to a complete lack of control over the spatial and temporal characteristics of the assembly process. Here, we show the dissipative self-assembly of FtsZ protein (a bacterial homologue of tubulin) within coacervate droplets. More specifically, we show how such barrier-free compartments govern the local availability of the energy-rich building block guanosine triphosphate, yielding highly dynamic fibrils. The increased flux of FtsZ monomers at the tips of the fibrils results in localized FtsZ assembly, elongation of the coacervate compartments, followed by division of the fibrils into two. We rationalize the directional growth and division of the fibrils using dissipative reaction-diffusion kinetics and capillary action of the filaments as main inputs. The principle presented here, in which open compartments are used to modulate the rates of dissipative self-assembly by restricting the absorption of energy from the environment, may provide a general route to dissipatively adapting nanosystems exhibiting life-like behaviour.

One of the most intriguing and important aspects of biological supramolecular materials is its ability to adapt macroscopic properties in response to environmental cues for controlling cellular processes. Recently, bulk matrix stiffness, in particular, stress sensitivity, has been established as a key mechanical cue in cellular function and development. However, stress-stiffening capacity and the ability to control and exploit this key characteristic is relatively new to the field of biomimetic materials. In this work, DNA-responsive hydrogels, composed of semiflexible PIC polymers equipped with DNA cross-linkers, were engineered to create mimics of natural biopolymer networks that capture these essential elastic properties and can be controlled by external stimuli. We show that the elastic properties are governed by the molecular structure of the cross-linker, which can be readily varied providing access to a broad range of highly tunable soft hydrogels with diverse stress-stiffening regimes. By using cross-linkers based on DNA nanoswitches, responsive to pH or ligands, internal control elements of mechanical properties are implemented that allow for dynamic control of elastic properties with high specificity. The work broadens the current knowledge necessary for the development of user defined biomimetic materials with stress stiffening capacity.

Insight into the behavior of individual immune cells, in particular cytokine secretion, will contribute to a more fundamental understanding of the immune system. In this work, we have developed a cell membrane-anchored sensor for the detection of cytokines secreted by single cells using a combination of aptamer-based sensors and droplet microfluidics.

NMR is a powerful method for studying proteins and nucleic acids in solution. The study of nucleic acids by NMR is far more challenging than for proteins, which is mainly due to the limited number of building blocks and unfavorable spectral properties. For NMR studies of DNA molecules, (site specific) isotope enrichment is required to facilitate specific NMR experiments and applications. Here, we provide a comprehensive review of isotope-labeling strategies for obtaining stable isotope labeled DNA as well as specifically stable isotope labeled building blocks required for enzymatic DNA synthesis.

Biological materials have evolved to combine a number of functionally relevant properties. They are sensitive to chemical and mechanical signals and respond to these signals in a highly specific manner. Many biological hydrogels possess the ability to stress‐stiffen, a property that is difficult to mimic in synthetic systems. A novel synthetic hydrogel is described that possesses stress‐stiffening behavior in the biologically relevant stress regime and, at the same time, contains DNA cross‐links as stimuli‐responsive elements. The hydrogel scaffold is composed of oligo(ethylene glycol)‐functionalized polyisocyanopeptides (PIC), which show a sol‐to‐gel transition upon increasing the temperature. It is shown that the mechanical properties of the hybrid hydrogel depend on DNA cross‐linker concentration and temperature. At high temperature, a hydrophobically bundled stress‐stiffening PIC network forms. By contrast, gel formation is controlled by DNA cross‐linking at temperatures below the PIC sol‐to‐gel transition. The DNA cross‐linked hydrogel also exhibits stress‐stiffening behavior and its properties are controlled by the DNA cross‐linker concentration. The hydrogel properties can further be tuned when using DNA cross‐linkers with different melting temperature or when breaking cross‐links by strand displacement. This clearly shows the potential of DNA cross‐links as stimuli‐responsive elements, highlighting the possible applications of this hybrid hydrogel as a new sensor.

Secondary structure formation of mRNA, caused by desynchronization of transcription and translation, is known to impact gene expression in vivo. Yet, inactivation of mRNA by secondary structures in cell-free protein expression is frequently overlooked. Transcription and translation rates are often not highly synchronized in cell-free expression systems, leading to a temporal mismatch between the processes and a drop in efficiency of protein production. By devising a cell-free gene expression platform in which transcriptional and translational elongation are successfully performed independently, we determine that sequence-dependent mRNA secondary structures are the main cause of mRNA inactivation in in vitro gene expression.

The cytosol of Escherichia coli is an extremely crowded environment, containing high concentrations of biopolymers which occupy 20-30% of the available volume. Such conditions are expected to yield depletion forces, which strongly promote macromolecular complexation. However, crowded macromolecule solutions, like the cytosol, are very prone to nonspecific associative interactions that can potentially counteract depletion. It remains unclear how the cytosol balances these opposing interactions. We used a FRET-based probe to systematically study depletion in vitro in different crowded environments, including a cytosolic mimic, E. coli lysate. We also studied bundle formation of FtsZ protofilaments under identical crowded conditions as a probe for depletion interactions at much larger overlap volumes of the probe molecule. The FRET probe showed a more compact conformation in synthetic crowding agents, suggesting strong depletion interactions. However, depletion was completely negated in cell lysate and other protein crowding agents, where the FRET probe even occupied slightly more volume. In contrast, bundle formation of FtsZ protofilaments proceeded as readily in E. coli lysate and other protein solutions as in synthetic crowding agents. Our experimental results and model suggest that, in crowded biopolymer solutions, associative interactions counterbalance depletion forces for small macromolecules. Furthermore, the net effects of macromolecular crowding will be dependent on both the size of the macromolecule and its associative interactions with the crowded background.

Understanding the dynamics of complex enzymatic reactions in highly crowded small volumes is crucial for the development of synthetic minimal cells. Compartmentalized biochemical reactions in cell-sized containers exhibit a degree of randomness due to the small number of molecules involved. However, it is unknown how the physical environment contributes to the stochastic nature of multistep enzymatic processes. Here, we present a robust method to quantify gene expression noise in vitro using droplet microfluidics. We study the changes in stochasticity in the cell-free gene expression of two genes compartmentalized within droplets as a function of DNA copy number and macromolecular crowding. We find that decreased diffusion caused by a crowded environment leads to the spontaneous formation of heterogeneous microenvironments of mRNA as local production rates exceed the diffusion rates of macromolecules. This heterogeneity leads to a higher probability of the molecular machinery staying in the same microenvironment, directly increasing the system’s stochasticity.