Living cells have the ability to control the dynamics of responsive assemblies such as the cytoskeleton by temporally activating and deactivating inert precursors. While DNA nanotechnology has demonstrated many synthetic supramolecular assemblies that rival biological ones in size and complexity, dynamic control of their formation is still challenging. Taking inspiration from nature, we developed a DNA-RNA nanotube system whose assembly and disassembly can be temporally controlled at physiological temperature using transcriptional programs. Nanotubes assemble when inert DNA monomers are directly and selectively activated by RNA molecules that become embedded in the structure, producing hybrid DNA−RNA assemblies. The reactions and molecular programs controlling nanotube formation are fueled by enzymes that produce or degrade RNA. We show that the speed of assembly and disassembly of the nanotubes can be controlled by tuning various reaction parameters in the transcriptional programs. We anticipate that these hybrid structures are a starting point to build integrated biological circuits and functional scaffolds inside natural and artificial cells, where RNA produced by gene networks could fuel the assembly of nucleic acid components on demand.
Bottom-up synthetic biology aims to engineer artificial cells capable of responsive behaviors by using a minimal set of molecular components. An important challenge toward this goal is the development of programmable biomaterials that can provide active spatial organization in cell-sized compartments. Here, we demonstrate the dynamic self-assembly of nucleic acid (NA) nanotubes inside water-in-oil droplets. We develop methods to encapsulate and assemble different types of DNA nanotubes from programmable DNA monomers, and demonstrate temporal control of assembly via designed pathways of RNA production and degradation. We examine the dynamic response of encapsulated nanotube assembly and disassembly with the support of statistical analysis of droplet images. Our study provides a toolkit of methods and components to build increasingly complex and functional NA materials to mimic life-like functions in synthetic cells.
Liquid–liquid phase separation (LLPS) is a common
phenomenon
underlying the formation of dynamic membraneless organelles in biological
cells, which are emerging as major players in controlling cellular
functions and health. The bottom-up synthesis of biomolecular liquid
systems with simple constituents, like nucleic acids and peptides,
is useful to understand LLPS in nature as well as to develop programmable
means to build new amorphous materials with properties matching or
surpassing those observed in natural condensates. In particular, understanding
which parameters determine condensate growth kinetics is essential
for the synthesis of condensates with the capacity for active, dynamic
behaviors. Here we use DNA nanotechnology to study artificial liquid
condensates through programmable star-shaped subunits, focusing on
the effects of changing subunit size. First, we show that LLPS is
achieved in a 6-fold range of subunit size. Second, we demonstrate
that the rate of growth of condensate droplets scales with subunit
size. Our investigation is supported by a general model that describes
how coarsening and coalescence are expected to scale with subunit
size under ideal assumptions. Beyond suggesting a route toward achieving
control of LLPS kinetics via design of subunit size in synthetic liquids,
our work suggests that particle size may be a key parameter in biological
condensation processes.
Synthetic biology integrates diverse engineering disciplines to create novel biological systems for biomedical and technological applications. The substantial growth of the synthetic biology field in the past decade is poised to transform biotechnology and medicine. To streamline design processes and facilitate debugging of complex synthetic circuits, cell-free synthetic biology approaches has reached broad research communities both in academia and industry. By recapitulating gene expression systems in vitro, cell-free expression systems offer flexibility to explore beyond the confines of living cells and allow networking of synthetic and natural systems. Here, we review the capabilities of the current cell-free platforms, focusing on nucleic acid-based molecular programs and circuit construction. We survey the recent developments including cell-free transcription–translation platforms, DNA nanostructures and circuits, and novel classes of riboregulators. The links to mathematical models and the prospects of cell-free synthetic biology platforms will also be discussed.
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