Roy Bar-Ziv

Principles of cell-free genetic circuit assembly

Cell-free genetic circuit elements were constructed in a transcription–translation extract. We engineered transcriptional activation and repression cascades, in which the protein product of each stage is the input required to drive or block the following stage. Although we can find regions of linear response for single stages, cascading to subsequent stages requires working in nonlinear regimes. Substantial time delays and dramatic decreases in output production are incurred with each additional stage because of a bottleneck at the translation machinery. Faster turnover of RNA message can relieve competition between genes and stabilize output against variations in input and parameters.

Toward an artificial cell based on gene expression in vesicles.

We present a new experimental approach to build an artificial cell using the translation machinery of a cell-free expression system as the hardware and a DNA synthetic genome as the software. This approach, inspired by the self-replicating automata of von Neumann, uses cytoplasmic extracts, encapsulated in phospholipid vesicles, to assemble custom-made genetic circuits to develop the functions of a minimal cell. Although this approach can find applications, especially in biotechnology, the primary goal is to understand how a DNA algorithm can be designed to build an operating system that has some of the properties of life. We provide insights on this cell-free approach as well as new results to transform step by step a long-lived vesicle bioreactor into an artificial cell. We show how the green fluorescent protein can be anchored to the membrane and we give indications of a possible insertion mechanism of integral membrane proteins. With vesicles composed of different phospholipids, the fusion protein alpha-hemolysin-eGFP can be expressed to reveal patterns on the membrane. The specific degradation complex ClpXP from E. coli is introduced to create a sink for the synthesized proteins. Perspectives and subsequent limitations of this approach are discussed.

A tunable dual-promoter integrator for targeting of cancer cells

Precise discrimination between similar cellular states is essential for autonomous decision‐making scenarios, such as in vivo targeting of diseased cells. Discrimination could be achieved by delivering an effector gene expressed under a highly active context‐specific promoter. Yet, a single‐promoter approach has linear response and offers limited control of specificity and efficacy. Here, we constructed a dual‐promoter integrator, which expresses an effector gene only when the combined activity of two internal input promoters is high. A tunable response provides flexibility in choosing promoter inputs and effector gene output. Experiments using one premalignant and four cancer cell lines, over a wide range of promoter activities, revealed a digital‐like response of input amplification following a sharp activation threshold. The response function is cell dependent with its overall magnitude increasing with degree of malignancy. The tunable digital‐like response provides robustness, acts to remove input noise minimizing false‐positive identification of cell states, and improves targeting precision and efficacy.

Dynamic excitations in membranes induced by optical tweezers.

We present the phenomenology of transformations in lipid bilayers that are excited by laser tweezers. A variety of dynamic instabilities and shape transformations are observed, including the pearling instability, expulsion of vesicles, and more exotic ones, such as the formation of passages. Our physical picture of the laser-membrane interaction is based on the generation of tension in the bilayer and loss of surface area. Although tension is the origin of the pearling instability, it does not suffice to explain expulsion of vesicles, where we observe opening of giant pores and creeping motion of bilayers. We present a quantitative theoretical framework to understand most of the observed phenomenology. The main hypothesis is that lipid is pulled into the optical trap by the familiar dielectric effect, is disrupted, and finally is repackaged into an optically unresolvable suspension of colloidal particles. This suspension, in turn, can produce osmotic pressure and depletion forces, driving the observed transformations.

Programmable on-chip DNA compartments as artificial cells

Toward an “artificial cell” on a chip Cell-free systems that reconstitute biochemical pathways have been critical for unraveling the inner workings of the cell. Karzbrun et al. created a highly miniaturized cell-free system on a silicon chip. A series of tiny linked compartments were fabricated on the chip, in which DNA-driven reactions occurred, with materials flowing into and diffusing between the compartments. The system recreated oscillating protein expression patterns and protein gradients, and provides a stepping stone to creating “artificial cells” on a chip. Science, this issue p. 829 DNA-driven biochemical reactions on a fabricated silicon chip recreate protein gradients and oscillations. The assembly of artificial cells capable of executing synthetic DNA programs has been an important goal for basic research and biotechnology. We assembled two-dimensional DNA compartments fabricated in silicon as artificial cells capable of metabolism, programmable protein synthesis, and communication. Metabolism is maintained by continuous diffusion of nutrients and products through a thin capillary, connecting protein synthesis in the DNA compartment with the environment. We programmed protein expression cycles, autoregulated protein levels, and a signaling expression gradient, equivalent to a morphogen, in an array of interconnected compartments at the scale of an embryo. Gene expression in the DNA compartment reveals a rich, dynamic system that is controlled by geometry, offering a means for studying biological networks outside a living cell.

Cell-free protein synthesis and assembly on a biochip

Biologically active complexes such as ribosomes and bacteriophages are formed through the self-assembly of proteins and nucleic acids. Recapitulating these biological self-assembly processes in a cell-free environment offers a way to develop synthetic biodevices. To visualize and understand the assembly process, a platform is required that enables simultaneous synthesis, assembly and imaging at the nanoscale. Here, we show that a silicon dioxide grid, used to support samples in transmission electron microscopy, can be modified into a biochip to combine in situ protein synthesis, assembly and imaging. Light is used to pattern the biochip surface with genes that encode specific proteins, and antibody traps that bind and assemble the nascent proteins. Using transmission electron microscopy imaging we show that protein nanotubes synthesized on the biochip surface in the presence of antibody traps efficiently assembled on these traps, but pre-assembled nanotubes were not effectively captured. Moreover, synthesis of green fluorescent protein from its immobilized gene generated a gradient of captured proteins decreasing in concentration away from the gene source. This biochip could be used to create spatial patterns of proteins assembled on surfaces.

Entropy-driven collective interactions in DNA brushes on a biochip

Cell-free gene expression in localized DNA brushes on a biochip has been shown to depend on gene density and orientation, suggesting that brushes form compartments with partitioned conditions. At high density, the interplay of DNA entropic elasticity, electrostatics, and excluded volume interactions leads to collective conformations that affect the function of DNA-associated proteins. Hence, measuring the collective interactions in dense DNA, free of proteins, is essential for understanding crowded cellular environments and for the design of cell-free synthetic biochips. Here, we assembled dense DNA polymer brushes on a biochip along a density gradient and directly measured the collective extension of DNA using evanescent fluorescence. DNA of 1 kbp in a brush undergoes major conformational changes, from a relaxed random coil to a stretched configuration, following a universal function of density to ionic strength ratio with scaling exponent of 1/3. DNA extends because of the swelling force induced by the osmotic pressure of ions, which are trapped in the brush to maintain local charge neutrality, in competition with the restoring force of DNA entropic elasticity. The measurements reveal in DNA crossover between regimes of osmotic, salted, mushroom, and quasineutral brush. It is surprising to note that, at physiological ionic strength, DNA density does not induce collective stretch despite significant chain overlap, which implies that excluded volume interactions in DNA are weak.

Synthetic gene brushes: a structure–function relationship

We present the assembly of gene brushes by means of a photolithographic approach that allows us to control the density of end‐immobilized linear double‐stranded DNA polymers coding for entire genes. For 2 kbp DNAs, the mean distance varies from 300 nm, where DNAs are dilute and assume relaxed conformations, down to 30 nm, where steric repulsion at dense packing forces stretching out. We investigated the gene‐to‐protein relationship of firefly luciferase under the T7/E.Coli‐extract expression system, as well as transcription‐only reactions with T7 RNA polymerase, and found both systems to be highly sensitive to brush density, conformation, and orientation. A ‘structure–function’ picture emerges in which extension of genes induced by moderate packing exposes coding sequences and improves their interaction with the transcription/translation machinery. However, tighter packing impairs the penetration of the machinery into the brush. The response of expression to two‐dimensional gene crowding at the nanoscale identifies gene brushes as basic controllable units en route to multicomponent synthetic systems. In turn, these brushes could deepen our understanding of biochemical reactions taking place under confinement and molecular crowding in living cells.

Protein–DNA computation by stochastic assembly cascade

The assembly of RecA on single-stranded DNA is measured and interpreted as a stochastic finite-state machine that is able to discriminate fine differences between sequences, a basic computational operation. RecA filaments efficiently scan DNA sequence through a cascade of random nucleation and disassembly events that is mechanistically similar to the dynamic instability of microtubules. This iterative cascade is a multistage kinetic proofreading process that amplifies minute differences, even a single base change. Our measurements suggest that this stochastic Turing-like machine can compute certain integral transforms.

Compartmentalization by directional gene expression

The coalescence of basic biochemical reactions into compartments is a major hallmark of a living cell. Using surface-bound DNA and a transcription reaction, we investigate the conditions for boundary-free compartmentalization. The DNA self-organizes into a dense and ordered phase with coding sequences aligned at well-defined distances and orientation relative to the surface, imposing directionality on transcription. Unique to the surface in comparison to dilute homogeneous DNA solution, the reaction slows down early, is inhibited with increased DNA density, is favorable for surface-oriented promoters, and is robust against DNA condensation. We interpret these results to suggest that macromolecules (RNA polymerase and RNA), but not solutes (ions and nucleotides), are partitioned between immobilized DNA and the reservoir. Without any physical barrier, a nonequilibrium directional DNA transaction forms macromolecular gradients that define a compartment, thus offering a boundary-free approach to the assembly of a synthetic cell.