On the "Life-Likeness" of Synthetic Cells

Controlled exchange of protein and nucleic acid signals from and between synthetic minimal cells

Synthetic minimal cells are a class of bioreactors that have some, but not all, functions of live cells. Here, we report a critical step toward the development of a bottom-up minimal cell: cellular export of functional protein and RNA products. We used cell-penetrating peptide tags to translocate payloads across a synthetic cell vesicle membrane. We demonstrated efficient transport of active enzymes and transport of nucleic acid payloads by RNA-binding proteins. We investigated influence of a concentration gradient alongside other factors on the efficiency of the translocation, and we show a method to increase product accumulation in one location. We demonstrate the use of this technology to engineer molecular communication between different populations of synthetic cells, to exchange protein and nucleic acid signals. The synthetic minimal cell production and export of proteins or nucleic acids allows experimental designs that approach the complexity and relevancy of natural biological systems. A record of this paper's transparent peer review process is included in the supplemental information.

Cell-free expression of RuBisCO for ATP production in the synthetic cells

Recent advances in bottom-up synthetic biology have made it possible to reconstitute cellular systems from non-living components, yielding artificial cells with potential applications in industry, medicine and basic research. Although a variety of cellular functions and components have been reconstituted in previous studies, sustained biological energy production remains a challenge. ATP synthesis via ribulose-1,5-diphosphate carboxylase/oxygenase (RuBisCO), a central enzyme in biological CO2 fixation, holds potential as an energy production system, but its feasibility in a cell-free expression system has not yet been tested. In this study, we test RuBisCO expression and its activity-mediated ATP synthesis in a reconstituted Escherichia coli-based cell-free translation system. We then construct a system in which ATP is synthesized by RuBisCO activity in giant vesicles and used as energy for translation reactions. These results represent an advance toward independent energy production in artificial cells. Graphical Abstract.

Chemical Systems for Wetware Artificial Life: Selected Perspectives in Synthetic Cell Research

The recent and important advances in bottom-up synthetic biology (SB), in particular in the field of the so-called "synthetic cells" (SCs) (or "artificial cells", or "protocells"), lead us to consider the role of wetware technologies in the "Sciences of Artificial", where they constitute the third pillar, alongside the more well-known pillars hardware (robotics) and software (Artificial Intelligence, AI). In this article, it will be highlighted how wetware approaches can help to model life and cognition from a unique perspective, complementary to robotics and AI. It is suggested that, through SB, it is possible to explore novel forms of bio-inspired technologies and systems, in particular chemical AI. Furthermore, attention is paid to the concept of semantic information and its quantification, following the strategy recently introduced by Kolchinsky and Wolpert. Semantic information, in turn, is linked to the processes of generation of "meaning", interpreted here through the lens of autonomy and cognition in artificial systems, emphasizing its role in chemical ones.

Explorative Synthetic Biology in AI: Criteria of Relevance and a Taxonomy for Synthetic Models of Living and Cognitive Processes

This article tackles the topic of the special issue "Biology in AI: New Frontiers in Hardware, Software and Wetware Modeling of Cognition" in two ways. It addresses the problem of the relevance of hardware, software, and wetware models for the scientific understanding of biological cognition, and it clarifies the contributions that synthetic biology, construed as the synthetic exploration of cognition, can offer to artificial intelligence (AI). The research work proposed in this article is based on the idea that the relevance of hardware, software, and wetware models of biological and cognitive processes-that is, the concrete contribution that these models can make to the scientific understanding of life and cognition-is still unclear, mainly because of the lack of explicit criteria to assess in what ways synthetic models can support the experimental exploration of biological and cognitive phenomena. Our article draws on elements from cybernetic and autopoietic epistemology to define a framework of reference, for the synthetic study of life and cognition, capable of generating a set of assessment criteria and a classification of forms of relevance, for synthetic models, able to overcome the sterile, traditional polarization of their evaluation between mere imitation and full reproduction of the target processes. On the basis of these tools, we tentatively map the forms of relevance characterizing wetware models of living and cognitive processes that synthetic biology can produce and outline a programmatic direction for the development of "organizationally relevant approaches" applying synthetic biology techniques to the investigative field of (embodied) AI.

A Role for Bottom-Up Synthetic Cells in the Internet of Bio-Nano Things?

The potential role of bottom-up Synthetic Cells (SCs) in the Internet of Bio-Nano Things (IoBNT) is discussed. In particular, this perspective paper focuses on the growing interest in networks of biological and/or artificial objects at the micro- and nanoscale (cells and subcellular parts, microelectrodes, microvessels, etc.), whereby communication takes place in an unconventional manner, i.e., via chemical signaling. The resulting "molecular communication" (MC) scenario paves the way to the development of innovative technologies that have the potential to impact biotechnology, nanomedicine, and related fields. The scenario that relies on the interconnection of natural and artificial entities is briefly introduced, highlighting how Synthetic Biology (SB) plays a central role. SB allows the construction of various types of SCs that can be designed, tailored, and programmed according to specific predefined requirements. In particular, "bottom-up" SCs are briefly described by commenting on the principles of their design and fabrication and their features (in particular, the capacity to exchange chemicals with other SCs or with natural biological cells). Although bottom-up SCs still have low complexity and thus basic functionalities, here, we introduce their potential role in the IoBNT. This perspective paper aims to stimulate interest in and discussion on the presented topics. The article also includes commentaries on MC, semantic information, minimal cognition, wetware neuromorphic engineering, and chemical social robotics, with the specific potential they can bring to the IoBNT.

Investigation of Compatibility between DNA Replication, Transcription, and Translation for in Vitro Central Dogma

Recent advances in in vitro synthetic biology have made it possible to reconstitute various cellular functions in a test tube. However, the integration of these functions remains a major challenge. This study aimed to identify a suitable condition to achieve all three reactions that constitute the central dogma: transcription, translation, and DNA replication. Specifically, we investigated the effect of the concentrations of 11 nonprotein factors required for in vitro transcription, translation, and DNA replication on each of these reactions. Our results indicate that certain factors have opposing effects on the three reactions. For example, while dNTP is necessary for DNA replication, it inhibited translation, and both rNTP and tRNA, which are essential for transcription and translation, inhibited DNA replication with several DNA polymerases. We also found that these opposing effects were partially alleviated by optimizing the magnesium concentration. Using this knowledge, we successfully demonstrated transcription/translation-coupled DNA replication with higher levels of transcription and translation while maintaining a certain level of DNA replication. These findings not only provide useful insights for the development of a complex artificial system with the central dogma but also raise the question of how natural cells overcome the incompatibility between the three reactions.

Autopoiesis of the artificial: From systems to cognition

In the seminal work on autopoiesis by Varela, Maturana, and Uribe, they start by addressing the confusion between processes that are history dependent and processes that are history independent in the biological world. The former is particularly linked to evolution and ontogenesis, while the latter pertains to the organizational features of biological individuals. Varela, Maturana, and Uribe reject this framework and propose their original theory of autopoietic organization, which emphasizes the strong complementarity of temporal and non-temporal phenomena. They argue that the dichotomy between structure and organization lies at the core of the unity of living systems. By opposing history-dependent and history-independent processes, methodological challenges arise in explaining phenomena related to living systems and cognition. Consequently, Maturana and Varela reject this approach in defining autopoietic organization. I argue, however, that this relationship presents an issue that can be found in recent developments of the science of artificial intelligence (AI) in different ways, giving rise to related concerns. While highly capable AI systems exist that can perform cognitive tasks, their internal workings and the specific contributions of their components to the overall system behavior, understood as a unified whole, remain largely uninterpretable. This article explores the connection between biological systems, cognition, and recent developments in AI systems that could potentially be linked to autopoiesis and related concepts such as autonomy and organization. The aim is to assess the advantages and disadvantages of employing autopoiesis in the synthetic (artificial) explanation for biological cognitive systems and to determine if and how the notion of autopoiesis can still be fruitful in this perspective.

In Vitro Transcription/Translation-Coupled DNA Replication through Partial Regeneration of 20 Aminoacyl-tRNA Synthetases

The in vitro reconstruction of life-like self-reproducing systems is a major challenge in in vitro synthetic biology. Self-reproduction requires regeneration of all molecules involved in DNA replication, transcription, and translation. This study demonstrated the continuous DNA replication and partial regeneration of major translation factors, 20 aminoacyl-tRNA synthetases (aaRS), in a reconstituted transcription/translation system (PURE system) for the first time. First, we replicated each DNA that encodes one of the 20 aaRSs through aaRS expression from the DNA by serial transfer experiments. Thereafter, we successively increased the number of aaRS genes and achieved simultaneous, continuous replication of DNA that encodes all 20 aaRSs, which comprised approximately half the number of protein factors in the PURE system, except for ribosomes, by employing dialyzed reaction and sequence optimization. This study provides a step-by-step methodology for continuous DNA replication with an increasing number of self-regenerative genes toward self-reproducing artificial systems.

Synthetic cell research: Is technical progress leaving theoretical and epistemological investigations one step behind?

Advancements in the research on so-called "synthetic (artificial) cells" have been mainly characterized by an important acceleration in all sorts of experimental approaches, providing a growing amount of knowledge and techniques that will shape future successful developments. Synthetic cell technology, indeed, shows potential in driving a revolution in science and technology. On the other hand, theoretical and epistemological investigations related to what synthetic cells "are," how they behave, and what their role is in generating knowledge have not received sufficient attention. Open questions about these less explored subjects range from the analysis of the organizational theories applied to synthetic cells to the study of the "relevance" of synthetic cells as scientific tools to investigate life and cognition; and from the recognition and the cultural reappraisal of cybernetic inheritance in synthetic biology to the need for developing concepts on synthetic cells and to the exploration, in a novel perspective, of information theories, complexity, and artificial intelligence applied in this novel field. In these contributions, we will briefly sketch some crucial aspects related to the aforementioned issues, based on our ongoing studies. An important take-home message will result: together with their impactful experimental results and potential applications, synthetic cells can play a major role in the exploration of theoretical questions as well.

Parasites, Infections, and Inoculation in Synthetic Minimal Cells

Synthetic minimal cells provide a controllable and engineerable model for biological processes. While much simpler than any live natural cell, synthetic cells offer a chassis for investigating the chemical foundations of key biological processes. Herein, we show a synthetic cell system with host cells, interacting with parasites and undergoing infections of varying severity. We demonstrate how the host can be engineered to resist infection, we investigate the metabolic cost of carrying resistance, and we show an inoculation that immunizes the host against pathogens. Our work expands the synthetic cell engineering toolbox by demonstrating host-pathogen interactions and mechanisms for acquiring immunity. This brings synthetic cell systems one step closer to providing a comprehensive model of complex, natural life.

Optimization and compartmentalization of a cell-free mixture of DNA amplification and protein translation

Recent studies have shown that the reconstituted cell-free DNA replisome and in vitro transcription and translation systems from Escherichia coli are highly important in applied and synthetic biology. To date, no attempt has been made to combine those two systems. Here, we study the performance of the mixed two separately exploited systems commercially available as RCR and PURE systems. Regarding the genetic information flow from DNA to proteins, mixtures with various ratios of RCR/PURE gave low protein expression, possibly due to the well-known conflict between replication and transcription or inappropriate buffer conditions. To further increase the compatibility of the two systems, rationally designed reaction buffers with a lower concentration of nucleoside triphosphates in 50 mM HEPES (pH7.6) were evaluated, showing increased performance from RCR/PURE (85%/15%) in a time-dependent manner. The compatibility was also validated in compartmentalized cell-sized droplets encapsulating the same RCR/PURE soup. Our findings can help to better fine-tune the reaction conditions of RCR-PURE systems and provide new avenues for rewiring the central dogma of molecular biology as self-sustaining systems in synthetic cell models. KEY POINTS: • Commercial reconstituted DNA amplification (RCR) and transcription and translation (PURE) systems hamper each other upon mixing. • A newly optimized buffer with a low bias for PURE was formulated in the RCR-PURE mixture. • The performance and dynamics of RCR-PURE were investigated in either bulk or compartmentalized droplets.

Operant conditioning of stochastic chemical reaction networks

Adapting one's behavior to environmental conditions and past experience is a key trait of living systems. In the biological world, there is evidence for adaptive behaviors such as learning even in naturally occurring, non-neural, single-celled organisms. In the bioengineered world, advances in synthetic cell engineering and biorobotics have created the possibility of implementing lifelike systems engineered from the bottom up. This will require the development of programmable control circuitry for such biomimetic systems that is capable of realizing such non-trivial and adaptive behavior, including modification of subsequent behavior in response to environmental feedback. To this end, we report the design of novel stochastic chemical reaction networks capable of probabilistic decision-making in response to stimuli. We show that a simple chemical reaction network motif can be tuned to produce arbitrary decision probabilities when choosing between two or more responses to a stimulus signal. We further show that simple feedback mechanisms from the environment can modify these probabilities over time, enabling the system to adapt its behavior dynamically in response to positive or negative reinforcement based on its decisions. This system thus acts as a form of operant conditioning of the chemical circuit, in the sense that feedback provided based on decisions taken by the circuit form the basis of the learning process. Our work thus demonstrates that simple chemical systems can be used to implement lifelike behavior in engineered biomimetic systems.

Transfer RNA Synthesis-Coupled Translation and DNA Replication in a Reconstituted Transcription/Translation System

Transfer RNAs (tRNAs) are key molecules involved in translation. In vitro synthesis of tRNAs and their coupled translation are important challenges in the construction of a self-regenerative molecular system. Here, we first purified EF-Tu and ribosome components in a reconstituted translation system of Escherichia coli to remove residual tRNAs. Next, we expressed 15 types of tRNAs in the repurified translation system and performed translation of the reporter luciferase gene depending on the expression. Furthermore, we demonstrated DNA replication through expression of a tRNA encoded by DNA, mimicking information processing within the cell. Our findings highlight the feasibility of an in vitro self-reproductive system, in which tRNAs can be synthesized from replicating DNA.

Building a community to engineer synthetic cells and organelles from the bottom-up

Employing concepts from physics, chemistry and bioengineering, 'learning-by-building' approaches are becoming increasingly popular in the life sciences, especially with researchers who are attempting to engineer cellular life from scratch. The SynCell2020/21 conference brought together researchers from different disciplines to highlight progress in this field, including areas where synthetic cells are having socioeconomic and technological impact. Conference participants also identified the challenges involved in designing, manipulating and creating synthetic cells with hierarchical organization and function. A key conclusion is the need to build an international and interdisciplinary research community through enhanced communication, resource-sharing, and educational initiatives.

Continuous Cell-Free Replication and Evolution of Artificial Genomic DNA in a Compartmentalized Gene Expression System

In all living organisms, genomic DNA continuously replicates by the proteins encoded in itself and undergoes evolution through many generations of replication. This continuous replication coupled with gene expression and the resultant evolution are fundamental functions of living things, but they have not previously been reconstituted in cell-free systems. In this study, we combined an artificial DNA replication scheme with a reconstituted gene expression system and microcompartmentalization to realize these functions. Circular DNA replicated through rolling-circle replication followed by homologous recombination catalyzed by the proteins, phi29 DNA polymerase, and Cre recombinase expressed from the DNA. We encapsulated the system in microscale water-in-oil droplets and performed serial dilution cycles. Isolated circular DNAs at Round 30 accumulated several common mutations, and the isolated DNA clones exhibited higher replication abilities than the original DNA due to its improved ability as a replication template, increased polymerase activity, and a reduced inhibitory effect of polymerization by the recombinase. The artificial genomic DNA, which continuously replicates using self-encoded proteins and autonomously improves its sequence, provides a useful starting point for the development of more complex artificial cells.

Synthetic Cell as a Platform for Understanding Membrane-Membrane Interactions

In the pursuit of understanding life, model membranes made of phospholipids were envisaged decades ago as a platform for the bottom-up study of biological processes. Micron-sized lipid vesicles have gained great acceptance as their bilayer membrane resembles the natural cell membrane. Important biological events involving membranes, such as membrane protein insertion, membrane fusion, and intercellular communication, will be highlighted in this review with recent research updates. We will first review different lipid bilayer platforms used for incorporation of integral membrane proteins and challenges associated with their functional reconstitution. We next discuss different methods for reconstitution of membrane fusion and compare their fusion efficiency. Lastly, we will highlight the importance and challenges of intercellular communication between synthetic cells and synthetic cells-to-natural cells. We will summarize the review by highlighting the challenges and opportunities associated with studying membrane-membrane interactions and possible future research directions.

Cell-free riboswitches

The emerging community of cell-free synthetic biology aspires to build complex biochemical and genetic systems with functions that mimic or even exceed those in living cells. To achieve such functions, cell-free systems must be able to sense and respond to the complex chemical signals within and outside the system. Cell-free riboswitches can detect chemical signals via RNA-ligand interaction and respond by regulating protein synthesis in cell-free protein synthesis systems. In this article, we review synthetic cell-free riboswitches that function in both prokaryotic and eukaryotic cell-free systems reported to date to provide a current perspective on the state of cell-free riboswitch technologies and their limitations.

Metabolic limits on classical information processing by biological cells

Biological information processing is generally assumed to be classical. Measured cellular energy budgets of both prokaryotes and eukaryotes, however, fall orders of magnitude short of the power required to maintain classical states of protein conformation and localization at the Å, fs scales predicted by single-molecule decoherence calculations and assumed by classical molecular dynamics models. We suggest that decoherence is limited to the immediate surroundings of the cell membrane and of intercompartmental boundaries within the cell, and that bulk cellular biochemistry implements quantum information processing. Detection of Bell-inequality violations in responses to perturbation of recently-separated sister cells would provide a sensitive test of this prediction. If it is correct, modeling both intra- and intercellular communication requires quantum theory.