SynBioFromLeukipposInstitute

Chimeric Antigen Receptor (CAR) T cell therapy has had unprecedented success in the treatment of haematological malignancies, this is especially true in clinical trials targeted against CD19 for the treatment of paediatric Acute Lymphoblastic Leukaemia (ALL) and Chronic Lymphocytic Leukaemia (CLL). However, clinical evidence of on-target off-tumour toxicity was observed in anti-CD19 CAR trials as well as other CAR trials. Here we have developed a CARs platform that can potentially discriminate a cancerous tissue from normal tissue by recognizing multiple antigens presented on each cell type. Using Boolean logic we have programed the T-cell to only activate when two antigens are present (Boolean’s AND gate); only in the absence of one antigen (Boolean’s ANDNOT gate); when both or either antigens is present (Boolean’s OR gate). We engineered the mechanism through co-localisation or kinetic segregation of the dual CARs inspired by how TCR and co-receptors work. We further found that CAR triggering responses are governed by a local balance in kinase/phosphatase activity. This platform increases the specificity and safety of the engineered T cells through the recognition of a profile of antigens rather that relying on the restricted expression of one tumour associated antigen (TAA). Logic gated CARs could reduce on-target off-tumour toxicity and open the therapy to numerous cancerous tissues where no appropriate TAAs have yet been identified.

Genome integration is a powerful tool in both basic and applied biological research. However, traditional genome integration, which is typically mediated by homologous recombination, has been constrained by low efficiencies and limited host range. In recent years, the emergence of homing endonucleases and programmable nucleases has greatly enhanced integration efficiencies and allowed alternative integration mechanisms such as non-homologous end joining and microhomology-mediated end joining, enabling integration in hosts deficient in homologous recombination. In this review, we will highlight recent advances and breakthroughs in genome integration methods made possible by programmable nucleases, and their new applications in synthetic biology and metabolic engineering.

The chemical synthesis of DNA oligonucleotides and their assembly into synthons, genes, circuits, and even entire genomes by gene synthesis methods has become an enabling technology for modern molecular biology and enables the design, build, test, learn, and repeat cycle underpinning innovations in synthetic biology. In this perspective, we briefly review the techniques and technologies that enable the synthesis of DNA oligonucleotides and their assembly into larger DNA constructs with a focus on recent advancements that have sought to reduce synthesis cost and increase sequence fidelity. The development of lower-cost methods to produce high-quality synthetic DNA will allow for the exploration of larger biological hypotheses by lowering the cost of use and help to close the DNA read–write cost gap.

Synthetic nucleobases presenting non-Watson Crick arrangements of hydrogen bond donor and acceptor groups can form additional nucleotide pairs that stabilize duplex DNA independent of the standard A:T and G:C pairs. The pair between 2-amino-3-nitropyridin-6-one 2'-deoxyriboside (presenting a {donor-donor-acceptor} hydrogen bonding pattern on the Watson-Crick face of the small component, trivially designated Z) and imidazo[1,2-a]-1,3,5-triazin-4(8H)one 2'-deoxyriboside (presenting an {acceptor-acceptor-donor} hydrogen bonding pattern on the large component, trivially designated P) is one of these extra pairs for which a substantial amount of molecular biology has been developed. Here, we report the results of UV absorbance melting measurements and determine the energetics of binding of DNA strands containing Z and P to give short duplexes containing Z:P pairs as well as various mismatches comprising Z and P. All measurements were done at 1 M NaCl in buffer (10 mM Na cacodylate, 0.5 mM EDTA, pH 7.0). Thermodynamic parameters (∆H°, ∆S° and ∆G°37) for oligonucleotide hybridization were extracted. Consistent with the Watson-Crick model that considers both geometric and hydrogen bonding complementarity, the Z:P pair was found to contribute more to duplex stability than any mismatches involving either non-standard nucleotide. Further, the Z:P pair is more stable than a C:G pair. The Z:G pair was found to be the most stable mismatch, forming either a deprotonated mismatched pair or a wobble base pair analogous to the stable T:G mismatch. The C:P pair is less stable, perhaps analogous to the wobble pair observed for C:O6-methyl-G, in which the pyrimidine is displaced into the minor groove. The Z:A and T:P mismatches are much less stable. Parameters for predicting the thermodynamics of oligonucleotides containing Z and P bases are provided. This represents the first case where this has been done for a synthetic genetic system.

Although there is still some skepticism in the biological community regarding the value and significance of quantitative computational modeling, important steps are continually being taken to enhance its accessibility and predictive power. We view these developments as essential components of an emerging 'respectful modeling' framework which has two key aims: (i) respecting the models themselves and facilitating the reproduction and update of modeling results by other scientists, and (ii) respecting the predictions of the models and rigorously quantifying the confidence associated with the modeling results. This respectful attitude will guide the design of higher-quality models and facilitate the use of models in modern applications such as engineering and manipulating microbial metabolism by synthetic biology.

Genome integration is a powerful tool in both basic and applied biological research. However, traditional genome integration, which is typically mediated by homologous recombination, has been constrained by low efficiencies and limited host range. In recent years, the emergence of homing endonucleases and programmable nucleases has greatly enhanced integration efficiencies and allowed alternative integration mechanisms such as non-homologous end joining and microhomology-mediated end joining, enabling integration in hosts deficient in homologous recombination. In this review, we will highlight recent advances and breakthroughs in genome integration methods made possible by programmable nucleases, and their new applications in synthetic biology and metabolic engineering.

We propose and solve analytically a stochastic model for the dynamics of a binary biological switch, defined as a DNA unit with two mutually exclusive configurations, each one triggering the expression of a different gene. Such a device has the potential to be used as a memory unit for biological computing systems designed to operate in noisy environments. We discuss a recent implementation of this switch in living cells, the recombinase addressable data (RAD) module. In order to understand the behavior of a RAD module we compute the exact time-dependent joint distribution of the two expressed genes starting in one state and evolving to another asymptotic state. We consider two operating regimes of the RAD module, a fast and a slow stochastic switching regime. The fast regime is aggregative and produces unimodal distributions, whereas the slow regime is separative and produces bimodal distributions. Both regimes can serve to prepare pure memory states when all cells are expressing the same gene. The slow regime can also separate mixed states by producing two subpopulations, each one expressing a different gene. Compared to the genetic toggle switch based on positive feedback, the RAD module ensures more rapid memory operations for the same quality of the separation between binary states. Our model provides a simplified phenomenological framework for studying RAD memory devices and our analytic solution can be further used to clarify theoretical concepts in biocomputation and for optimal design in synthetic biology.

The Synthetic Biology Open Language (SBOL) is a community-driven open language to promote standardization in synthetic biology. To support the use of SBOL in metabolic engineering, we developed SBOLme, the first open-access repository of SBOL 2.0-compliant biochemical parts for a wide range of metabolic engineering applications. The URL of our repository is http://www.cbrc.kaust.edu.sa/sbolme.

Recent advances in the field of programmable DNA-binding proteins have led to the development of facile methods for genomic localization of genetically encodable entities. Despite the extensive utility of these tools, locus-specific delivery of synthetic molecules remains limited by a lack of adequate technologies. Here we combine the flexibility of chemical synthesis with the specificity of a programmable DNA-binding protein by using protein trans-splicing to ligate synthetic elements to a nuclease-deficient Cas9 (dCas9) in vitro and subsequently deliver the dCas9 cargo to live cells. The versatility of this technology is demonstrated by delivering dCas9 fusions that include either the small-molecule bromodomain and extra-terminal family bromodomain inhibitor JQ1 or a peptide-based PRC1 chromodomain ligand, which are capable of recruiting endogenous copies of their cognate binding partners to targeted genomic binding sites. We expect that this technology will allow for the genomic localization of a wide array of small molecules and modified proteinaceous materials.

A new method for producing stronger artificial spider silk is reported in a study published online this week in Nature Chemical Biology. Spider silk is an attractive biodegradable material for many different applications, but producing artificial silk with the same properties as natural silk has historically been difficult.

Spider silk is made up of long chains of linked protein molecules. Inside silk glands, the proteins used to make the silk are kept in a very concentrated solution. When spinning silk, the spider secretes the protein solution through a narrow duct. Along the length of this duct, the acidity changes and the pressure increases, causing the protein molecules to link up in the chains that form the silk fiber.

Inspired by the way that spiders spin silk, Jan Johansson, Anna Rising and colleagues designed a spinning device that mimics the narrow duct and acidity changes met by silk protein in spider glands. Using this device on a special protein - a hybrid of two natural silk proteins that can be manufactured in a highly concentrated form - enabled the authors to produce artificial spider silk that has greater strength and elasticity than other artificial silks, and that is nearly as strong as natural spider silk.

The authors note that the biodegradable silk produced by this method is cheaper and easier to obtain than natural spider silk, and will potentially allow for the production of large amounts of silk for applications such as high-performance textiles and advanced medical devices.