Abstraction Layers for Scalable Microfluidic Biocomputers (Extended Version)

Microfluidic devices are emerging as an attractive technology for automatically orchestrating the reactions needed in a biological computer. Thousands of microfluidic primitives have already been integrated on a single chip, and recent trends indicate that the hardware complexity is increasing at rates comparable to Moore's Law. As in the case of silicon, it will be critical to develop abstraction layers--such as programming languages and Instruction Set Architectures (ISAs)--that decouple software development from changes in the underlying device technology.Towards this end, this paper presents BioStream, a portable language for describing biology protocols, and the Fluidic ISA, a stable interface for microfluidic chip designers. A novel algorithm translates microfluidic mixing operations from the BioStream layer to the Fluidic ISA. To demonstrate the benefits of these abstraction layers, we build two microfluidic chips that can both execute BioStream code despite significant differences at the device level. We consider this to be an important step towards building scalable biocomputers

From CoA ester supply to a yeast communication toolkit in Saccharomyces cerevisiae

Saccharomyces cerevisiae is the most widely used eukaryotic chassis in synthetic biology, as hu-manity and yeast share a long and fruitful history. For synthetic biology applications, S. cerevisiae was extensively used for metabolic engineering as well as for the construction of artificial net-works. To contribute to the metabolic engineering achievements conducted in S. cerevisiae, we extended its metabolic capacities by providing non-native short-chain acyl-coenzyme A esters as metabolic precursors. In order to advance the construction of artificial networks to multicel-lular systems we provided a comprehensive yeast communication toolkit (YCTK), and demon-strated its usability for the rapid assembly of synthetic cell-cell communication systems. Engineered production of short-chain acyl-coenzyme A esters in Saccharomyces cerevisiae Globally, S. cerevisiae is one of the most commonly used chassis organisms in modern biotech-nology and constitutes a high economic value to the growing bioecomomy. With the objective to produce novel natural products in S. cerevisiae a bottleneck of the chassis was uncovered. Short-chain acyl-coenzyme A esters serve as intermediate compounds in fatty acid biosynthesis, and are building blocks for the production of polyketides, biopolymers, and other value-added chemicals. However, S. cerevisiae’s limited repertoire of short-chain acyl-CoAs effectively pre-vents its application as a production host for a plethora of natural products. To address and re-solve this limitation, we introduced metabolic pathways to five different acyl-CoA esters into S. cerevisiae. We engineered plasmid-based yeast strains that provide propionyl-CoA, methylmalonyl-CoA, n-butyryl-CoA, isovaleryl-CoA, and n-hexanoyl-CoA. For the production of propionyl-CoA and methylmalonyl-CoA, we reestablished a published feeding-dependent pro-duction route using the PrpE and Pcc enzymes to serve as benchmark for our feeding-independent production pathways that provided in our study comparable product concentra-tions. To ensure efficient extraction of the produced metabolites we established a yeast-specific metabolite extraction protocol to determine the intracellular acyl-CoA concentrations in the engineered strains. For the production of isovaleryl-CoA, we tested two different pathways but only obtained product formation from the alternative isovaleryl-CoA biosynthetic (AIB) pathway originating from Myxococcus xanthus and obtained 5.5±1.2 µM isovaleryl-CoA. To our knowledge, this is the first reported functional heterologous expression of this pathway in S. cerevisiae. For the production of n-butyryl-CoA and n-hexanoyl-CoA, we adapted the butanol production pathway for our purposes and measured approximately 6 µM intracellular concen-tration of butyryl-CoA and hexanoyl-CoA. For the feeding-dependent pathway towards propio-nyl-CoA we obtained intracellular concentrations of 5.3 ± 2.4 µM while the feeding independ-ent 3-hydroxypropionate (3HP) pathway produced 8.5 ± 3.7 µM. The extension of both propio-nyl-CoA pathways to produce methylmalonyl-CoA resulted only into production of 0.5 ± 0.1 µM and 0.3 ± 0.3 µM methylmalonyl-CoA. Not only but particularly for the production of methylmalonyl-CoA further optimization is required. To allow rapid pathway prototyping, op-timization and testing of alternative enzymes, we established a short-chain acyl-CoA Golden Gate collection. This collection enables together with the well-known Dueber yeast toolkit YTK collection the examination of different enzymes variants and to investigate optimized expres-sion of the corresponding genes. We conclude that the acyl-CoAs produced here, that are common building blocks of secondary metabolites, prepared the ground for prospective engineered production of a variety of natural products in S. cerevisiae. These acyl-CoA producing strains together with the short-chain acyl-CoA collection lay the foundation to further explore S. cerevisiae as a heterologous production host for high-value secondary metabolite production. Yeast communication toolkit The construction of multicellular networks was a proposed aim already early on in synthetic biology. Today, they still hold many promises like the division of labor or the performance of more complex tasks. Most of the systems so far were implemented in bacterial chassis and only a few examples exist for the eukaryotic chassis S. cerevisiae. Especially for gram-negative bacterial chassis, the quorum sensing system provides a large diversity of ready to use communication systems. Also, yeast species evolved a communication system using peptide-based pheromones to interact with the opposite mating type. Here, we employed the natural diversity of the pep-tide α-factor pheromones, the corresponding GPCR receptors, as well as of barrier proteases, that function similarly to quorum quenching enzymes. With the establishment of the Golden Gate yeast communication toolkit (YCTK) we provide a standardized collection of parts that al-low the rapid construction of multicellular networks in the model organism S. cerevisiae. The feasible designs are limitless as well as the number of envisioned applications. The YCTK collec-tion consists of responder (pheromone-responsive promoters), sender (mfα1 genes – α-factors), receiver (Ste2 receptors) and barrier (Bar1 proteases) parts. We characterized the dynamics of the pheromone-inducible promoters in the different mating-type strain backgrounds and de-termined the dose-response to the α-factor as well as their temporal response. The different promoters exhibited a range of different dynamics and properties that enable the implementa-tion of different prospective network design motives. The characterization results of the Ste2 receptors indicated that our collection is comprised of receptors with high α-factor promiscuity and of receptors with high substrate specificity for their cognate α-factor. Further we found that different Ste2 receptors exhibit different sensitivities towards the cognate as well as to non-cognate α-factors. The promiscuity of the Ste2 receptors did not correlate with the α-factor se-quences. Our likelihood analysis of the Ste2 receptors indicated that the ones closer related to S. cerevisiae tend to be stimulated by the α-factors of related species. Our likelihood analysis of the Ste2 receptors coincided with the phylogenetic relationships of the species. Interesting is also the finding that α-factors of species for which the receptor exhibited high α-factor promis-cuity stimulated only a few receptors. Even though only five of the selected barrier proteases were functionally expressed the characterization of the protease promiscuity was to our knowledge the most comprehensive study of its kind so far. Similar to the receptors we identi-fied promiscuous and substrate specific barrier proteases. The proposed model of a coevolution between the receptor and barrier proteases to recognize similar sequence motives of the α-factor was partly validated, however, the model is not universally applicable according to our results. The extended knowledge of the pheromone-inducible promoters, the crosstalk be-tween α-factors, receptors and barrier proteases, and an initial tunability test enabled proof of principle construction of multicellular systems using the YTCK collection. We engineered mul-ticellular logic gate-like population networks that allow the receiver cells to conditionally re-spond to the population composition. While the α-factor signaling motif is functional and was used to successfully establish OR and AND gate-like systems, signal disruption by a barrier pro-tease of a self-stimulating or a signaling motif requires further optimization. Overall, the reali-zation of multicellular networks using the YCTK was proven to be successful. To summarize, with the YCTK we provide a set of comprehensively characterized sender, re-ceiver, and barrier parts to facilitate the implementation of cell-cell and thus multicellular communication networks in S. cerevisiae

On the scalability limits of communication networks to the nanoscale

Nanosystems, integrated systems with a total size of a few micrometers, are capable of interacting at the nanoscale, but their short operating range limits their usefulness in practical macro-scale scenarios. Nanonetworks, the interconnection of nanosystems, will extend their range of operation by allowing communication among nanosystems, thereby greatly enhancing their potential applications. In order to integrate communication capabilities into nanosystems, their communication subsystem needs to shrink to a size of a few micrometers. There are doubts about the feasibility of scaling down current metallic antennas to such a small size, mainly because their resonant frequency would be extremely high (in the optical domain) leading to a large free-space attenuation of the radiated EM waves. In consequence, as an alternative to implement wireless communications among nanosystems, two novel paradigms have emerged: molecular communication and graphene-enabled wireless communications. On the one hand, molecular communication is based on the exchange of molecules among nanosystems, inspired by communication among living cells. In Diffusion-based Molecular Communication (DMC), the emitted molecules propagate throughout the environment following a diffusion process until they reach the receiver. On the other hand, graphene, a one-atom-thick sheet of carbon atoms, has been proposed to implement graphene plasmonic RF antennas, or graphennas. Graphennas with a size in the order of a few micrometers show plasmonic effects which allow them to radiate EM waves in the terahertz band. Graphennas are the enabling technology of Graphene-enabled Wireless Communications (GWC). In order to answer the question of how communication networks will scale when their size shrinks, this thesis presents a scalability analysis of the performance metrics of communication networks to the nanoscale, following a general model with as few assumptions as possible. In the case of DMC, two detection schemes are proposed: amplitude detection and energy detection. Key performance metrics are identified and their scalability with respect to the transmission distance is found to differ significantly from the case of traditional wireless communications. These unique scaling trends present novel challenges which require the design of novel networking protocols specially adapted to DMC networks. The analysis of the propagation of plasmonic waves in graphennas allows determining their radiation performance. In particular, the resonant frequency of graphennas is not only lower than in metallic antennas, but it also increases more slowly as their length is reduced to the nanoscale. Moreover, the study of parameters such as the graphenna dimensions, the relaxation time of graphene and the applied chemical potential shows the tunability of graphennas in a wide frequency range. Furthermore, an experimental setup to measure graphennas based on feeding them by means of a photoconductive source is described. The effects of molecular absorption in the short-range terahertz channel, which corresponds to the expected operating scenario of graphennas, are analyzed. Molecular absorption is a process in which molecules present in the atmosphere absorb part of the energy of the terahertz EM waves radiated by graphennas, causing impairments in the performance of GWC. The study of molecular absorption allows quantifying this loss by deriving relevant performance metrics in this scenario, which show novel scalability trends as a function of the transmission distance with respect to the case of free-space propagation. Finally, the channel capacity of GWC is found to scale better as the antenna size is reduced than in traditional wireless communications. In consequence, GWC will require lower transmission power to achieve a given performance target. These results establish a general framework which may serve designers as a guide to implement wireless communication networks among nanosystems

Abstraction layers for scalable microfluidic biocomputers

Abstract. Microfluidic devices are emerging as an attractive technology for automatically orchestrating the reactions needed in a biological computer. Thousands of microfluidic primitives have already been integrated on a single chip, and recent trends indicate that the hardware complexity is increasing at rates comparable to Moore’s Law. As in the case of silicon, it will be critical to develop abstraction layers—such as programming languages and Instruction Set Architectures (ISAs)—that decouple software development from changes in the underlying device technology. Towards this end, this paper presents BioStream, a portable language for describing biology protocols, and the Fluidic ISA, a stable interface for microfluidic chip designers. A novel algorithm translates microfluidic mixing operations from the BioStream layer to the Fluidic ISA. To demonstrate the benefits of these abstraction layers, we build two microfluidic chips that can both execute BioStream code despite significant differences at the device level. We consider this to be an important step towards building scalable biological computers.

A complex systems approach to education in Switzerland

The insights gained from the study of complex systems in biological, social, and engineered systems enables us not only to observe and understand, but also to actively design systems which will be capable of successfully coping with complex and dynamically changing situations. The methods and mindset required for this approach have been applied to educational systems with their diverse levels of scale and complexity. Based on the general case made by Yaneer Bar-Yam, this paper applies the complex systems approach to the educational system in Switzerland. It confirms that the complex systems approach is valid. Indeed, many recommendations made for the general case have already been implemented in the Swiss education system. To address existing problems and difficulties, further steps are recommended. This paper contributes to the further establishment complex systems approach by shedding light on an area which concerns us all, which is a frequent topic of discussion and dispute among politicians and the public, where billions of dollars have been spent without achieving the desired results, and where it is difficult to directly derive consequences from actions taken. The analysis of the education system's different levels, their complexity and scale will clarify how such a dynamic system should be approached, and how it can be guided towards the desired performance