Professor Andrew Turberfield

Abstract:

We describe the triggered assembly of a bio-inspired DNA origami meshwork on a lipid membrane. DNA triskelia, three-armed DNA origami nanostructures inspired by the membrane-modifying protein clathrin, are bound to lipid mono- and bi-layers using cholesterol anchors. Polymerization of triskelia, triggered by the addition of DNA staples, links triskelion arms to form a mesh. Using transmission electron microscopy, we observe nanoscale local deformation of a lipid monolayer induced by triskelion polymerization that is reminiscent of the formation of clathrin-coated pits. We also show that the polymerization of triskelia bound to lipid bilayers modifies interactions between them, inhibiting the formation of a synapse between giant unilamellar vesicles and a supported lipid bilayer.

Abstract:

In nature, co-assembly of polypeptides, nucleic acids, and polysaccharides is used to create functional supramolecular structures. Here, we show that DNA nanostructures can be used to template interactions between peptides and to enable the quantification of multivalent interactions that would otherwise not be observable. Our functional building blocks are peptide–oligonucleotide conjugates comprising de novo designed dimeric coiled-coil peptides covalently linked to oligonucleotide tags. These conjugates are incorporated in megadalton DNA origami nanostructures and direct nanostructure association through peptide–peptide interactions. Free and bound nanostructures can be counted directly from electron micrographs, allowing estimation of the dissociation constants of the peptides linking them. Results for a single peptide–peptide interaction are consistent with the measured solution-phase free energy; DNA nanostructures displaying multiple peptides allow the effects of polyvalency to be probed. This use of DNA nanostructures as identifiers allows the binding strengths of homo- and heterodimeric peptide combinations to be measured in a single experiment and gives access to dissociation constants that are too low to be quantified by conventional techniques. The work also demonstrates that hybrid biomolecules can be programmed to achieve spatial organization of complex synthetic biomolecular assemblies.

Abstract:

Fundamental investigations of ice nucleation, a key process in fields from environmental science to cryobiology, require model systems with chemical and physical structures that are well defined and easily varied. DNA origami is an especially promising model because of the exquisite control that it offers over the physical geometry of the nucleating agent at the nano-scale. Here we compare ice nucleation by solutions of a rectangular DNA origami tile, formed by annealing a 2.6 kbase single-stranded DNA scaffold with ninety shorter ‘staple’ oligonucleotides, to ice nucleation when these components are mixed at the same concentrations but not annealed. Isothermal measurements show that the molecular conformation has a dramatic effect on the ice nucleating efficiency. For an array of droplets containing annealed, well-folded tiles the freezing rate is constant, whereas for unannealed DNA the freezing rate decreases with time. Despite the freezing rate measured at low temperature being higher for the annealed DNA origami samples than for a significant proportion of the unannealed ones, in slow temperature-ramp measurements the latter generally freeze at higher temperatures. We show that this behaviour is consistent with the formation of small numbers of highly efficient nucleating agents in the unannealed samples, likely through molecular aggregation.

Abstract:

DNA–RNA hybrid strand displacement underpins the function of many natural and engineered systems. Understanding and controlling factors affecting DNA–RNA strand displacement reactions is necessary to enable control of processes such as CRISPR-Cas9 gene editing. By combining multiscale modeling with strand displacement experiments, we show that the distribution of bases within the displacement domain has a very strong effect on reaction kinetics, a feature unique to DNA–RNA hybrid strand displacement. Merely by redistributing bases within a displacement domain of fixed base composition, we are able to design sequences whose reaction rates span more than four orders of magnitude. We extensively characterize this effect in reactions involving the invasion of dsDNA by an RNA strand, as well as the invasion of a hybrid duplex by a DNA strand. In all-DNA strand displacement reactions, we find a predictable but relatively weak sequence dependence, confirming that DNA–RNA strand displacement permits far more thermodynamic and kinetic control than its all-DNA counterpart. We show that oxNA, a recently introduced coarse-grained model of DNA–RNA hybrids, can reproduce trends in experimentally observed reaction rates. We also develop a simple kinetic model for predicting strand displacement rates. On the basis of these results, we argue that base distribution effects may play an important role in natural R-loop formation and in the function of the guide RNAs that direct CRISPR-Cas systems.

Abstract:

We introduce oxNA, a new model for the simulation of DNA–RNA hybrids that is based on two previously developed coarse-grained models—oxDNA and oxRNA. The model naturally reproduces the physical properties of hybrid duplexes, including their structure, persistence length, and force-extension characteristics. By parameterizing the DNA–RNA hydrogen bonding interaction, we fit the model’s thermodynamic properties to experimental data using both average-sequence and sequence-dependent parameters. To demonstrate the model’s applicability, we provide three examples of its use—calculating the free energy profiles of hybrid strand displacement reactions, studying the resolution of a short R-loop, and simulating RNA-scaffolded wireframe origami.