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With the ultimate aim to construct a living cell, bottom-up synthetic biology strives to reconstitute cellular phenomena in vitro – disentangled from the complex environment of a cell. Recent work towards this ambitious goal has provided new insights into the mechanisms governing life. With the fast-growing library of functional modules for synthetic cells, their classification and integration become increasingly important. We discuss strategies to reverse-engineer and recombine functional parts for synthetic eukaryotes, mimicking the characteristics of nature’s own prototype. Particularly, we focus on large outer compartments, complex endomembrane systems with organelles, and versatile cytoskeletons as hallmarks of eukaryotic life. Moreover, we identify microfluidics and DNA nanotechnology as two technologies that can integrate these functional modules into sophisticated multifunctional synthetic cells. Bottom-up synthetic biology thrives in reverse-engineering a particular biological function using a minimal set of molecular components, like purified proteins. Recently, precision technologies, like microfluidics, have been used to recombine functional modules towards multifunctional synthetic cells. Synthetic biology can capitalize on a variety of pre-existing on-chip functions, which greatly increases the scope for complexity in the field. Advances in DNA nanotechnology gave rise to a diverse range of fully synthetic functional modules, like DNA-based ion channels or motors, which can replace some protein-based parts. Noteworthy progress has been made in achieving large and stable compartments, organelle-like multicompartment systems, and sophisticated cytoskeletal structures.

The proliferation of synthetic data in artificial intelligence for medicine and healthcare raises concerns about the vulnerabilities of the software and the challenges of current policy.

To advance microfluidic integration, we present the use of two-photon additive manufacturing to fold 2D channel layouts into compact free-form 3D fluidic circuits with nanometer precision. We demonstrate this technique by tailoring microfluidic nozzles and mixers for time-resolved structural biology at X-ray free-electron lasers (XFELs). We achieve submicron jets with speeds exceeding 160 m s −1 , which allows for the use of megahertz XFEL repetition rates. By integrating an additional orifice, we implement a low consumption flow-focusing nozzle, which is validated by solving a hemoglobin structure. Also, aberration-free in operando X-ray microtomography is introduced to study efficient equivolumetric millisecond mixing in channels with 3D features integrated into the nozzle. Such devices can be printed in minutes by locally adjusting print resolution during fabrication. This technology has the potential to permit ultracompact devices and performance improvements through 3D flow optimization in all fields of microfluidic engineering. There is a need for more robust sample delivery methods for serial crystallography. Here the authors present the design and characterization of ultracompact 3D microfluidic devices that can be printed, which require less sample, have a lower background signal and allow 3D mixing for time resolved experiments.

Synthetic molecular motors can be fuelled by the hydrolysis 1 , 2 , 3 , 4 or hybridization 5 , 6 , 7 , 8 , 9 , 10 , 11 of DNA. Such motors can move autonomously 1 , 2 , 3 , 4 , 7 , 11 and programmably 12 , and long-range transport has been observed on linear tracks 13 , 14 . It has also been shown that DNA systems can compute 8 , 15 , 16 , 17 , 18 . Here, we report a synthetic DNA-based system that integrates long-range transport and information processing. We show that the path of a motor through a network of tracks containing four possible routes can be programmed using instructions that are added externally or carried by the motor itself. When external control is used we find that 87% of the motors follow the correct path, and when internal control is used 71% of the motors follow the correct path. Programmable motion will allow the development of computing networks, molecular systems that can sort and process cargoes according to instructions that they carry, and assembly lines 19 , 20 that can be reconfigured dynamically in response to changing demands. A molecular motor can be programmed to follow a route through a network of tracks using instructions added externally or carried by the motor itself.

Synthetic genomics requires improved technologies Engineering biology with recombinant DNA, broadly called synthetic biology, has progressed tremendously in the last decade, owing to continued industrialization of DNA synthesis, discovery and development of molecular tools and organisms, and increasingly sophisticated modeling and analytic tools. However, we have yet to understand the full potential of engineering biology because of our inability to write and test whole genomes, which we call synthetic genomics. Substantial improvements are needed to reduce the cost and increase the speed and reliability of genetic tools. Here, we identify emerging technologies and improvements to existing methods that will be needed in four major areas to advance synthetic genomics within the next 10 years: genome design, DNA synthesis, genome editing, and chromosome construction (see table). Similar to other large-scale projects for responsible advancement of innovative technologies, such as the Human Genome Project, an international, cross-disciplinary effort consisting of public and private entities will likely yield maximal return on investment and open new avenues of research and biotechnology.

Synthetic genetic circuits offer the potential to wield computational control over biology, but their complexity is limited by the accuracy of mathematical models. Here, we present advances that enable the complete encoding of an electronic chip in the DNA carried by Escherichia coli ( E. coli ). The chip is a binary‐coded digit (BCD) to 7‐segment decoder, associated with clocks and calculators, to turn on segments to visualize 0–9. Design automation is used to build seven strains, each of which contains a circuit with up to 12 repressors and two activators (totaling 63 regulators and 76,000 bp DNA). The inputs to each circuit represent the digit to be displayed (encoded in binary by four molecules), and output is the segment state, reported as fluorescence. Implementation requires an advanced gate model that captures dynamics, promoter interference, and a measure of total power usage (RNAP flux). This project is an exemplar of design automation pushing engineering beyond that achievable “by hand”, essential for realizing the potential of biology. Synopsis A complete electronic chip is encoded in Escherichia coli DNA by combining genetic circuit design automation (Cello) with more accurate mathematical models and gates with reduced impact on the host cell. The circuits encode a function used by calculators to turn on segments and display the digits 0–9. A new gate model captures the impact of placing repressible promoters in series and this is used to more accurately predict how to connect NOR gates. A simple mathematical model is introduced that captures the dynamics of gates using only two parameters that describe the characteristic on and off times for the gate. The dynamic model is able to predict the circuit response over 4 days when cells are transitioned between states. When resource utilization crosses a threshold, the circuits are rapidly lost from the cells. Graphical Abstract A complete electronic chip is encoded in Escherichia coli DNA by combining genetic circuit design automation (Cello) with more accurate mathematical models and gates with reduced impact on the host cell. The circuits encode a function used by calculators to turn on segments and display the digits 0–9.

A community-led initiative will enable users to design, share, refine and innovate fluidic devices. Microfluidic devices have the potential to automate and miniaturize biological experiments, but open-source sharing of device designs has lagged behind sharing of other resources such as software. Synthetic biologists have used microfluidics for DNA assembly, cell-free expression, and cell culture, but a combination of expense, device complexity, and reliance on custom set-ups hampers their widespread adoption. We present Metafluidics, an open-source, community-driven repository that hosts digital design files, assembly specifications, and open-source software to enable users to build, configure, and operate a microfluidic device. We use Metafluidics to share designs and fabrication instructions for both a microfluidic ring-mixer device and a 32-channel tabletop microfluidic controller. This device and controller are applied to build genetic circuits using standard DNA assembly methods including ligation, Gateway, Gibson, and Golden Gate. Metafluidics is intended to enable a broad community of engineers, DIY enthusiasts, and other nontraditional participants with limited fabrication skills to contribute to microfluidic research.

Sequence information is converted into nucleic acids, proteins and phage particles without human intervention to enable on-demand bio-manufacturing. Manufacturing processes for biological molecules in the research laboratory have failed to keep pace with the rapid advances in automization and parellelization 1 , 2 , 3 . We report the development of a digital-to-biological converter for fully automated, versatile and demand-based production of functional biologics starting from DNA sequence information. Specifically, DNA templates, RNA molecules, proteins and viral particles were produced in an automated fashion from digitally transmitted DNA sequences without human intervention.

For synthetic biology to mature, composition of devices into functional systems must become routine. This requires widespread adoption of comparable and replicable units of measurement. Interlaboratory studies organized through the International Genetically Engineered Machine (iGEM) competition show that fluorescence can be calibrated with simple, low-cost protocols, so fluorescence should no longer be published without units.

Systems biologists aim to understand how organism-level processes, such as differentiation and multicellular development, are encoded in DNA. Conversely, synthetic biologists aim to program systems-level biological processes, such as engineered tissue growth, by writing artificial DNA sequences. To achieve their goals, these groups have adapted a hierarchical electrical engineering framework that can be applied in the forward direction to design complex biological systems or in the reverse direction to analyze evolved networks. Despite much progress, this framework has been limited by an inability to directly and dynamically characterize biological components in the varied contexts of living cells. Recently, two optogenetic methods for programming custom gene expression and protein localization signals have been developed and used to reveal fundamentally new information about biological components that respond to those signals. This basic dynamic characterization approach will be a major enabling technology in synthetic and systems biology.