Autonomous dynamic control of DNA nanostructure self-assembly.
Leopold N GreenHari K K SubramanianVahid MardanlouJongmin KimRizal F HariadiElisa FrancoPublished in: Nature chemistry (2019)
Biological cells routinely reconfigure their shape using dynamic signalling and regulatory networks that direct self-assembly processes in time and space, through molecular components that sense, process and transmit information from the environment. A similar strategy could be used to enable life-like behaviours in synthetic materials. Nucleic acid nanotechnology offers a promising route towards this goal through a variety of sensors, logic and dynamic components and self-assembling structures. Here, by harnessing both dynamic and structural DNA nanotechnology, we demonstrate dynamic control of the self-assembly of DNA nanotubes-a well-known class of programmable DNA nanostructures. Nanotube assembly and disassembly is controlled with minimal synthetic gene systems, including an autonomous molecular oscillator. We use a coarse-grained computational model to capture nanotube length distribution dynamics in response to inputs from nucleic acid circuits. We hope that these results may find use for the development of responsive nucleic acid materials, with potential applications in biomaterials science, nanofabrication and drug delivery.
Keyphrases
- nucleic acid
- drug delivery
- single molecule
- circulating tumor
- molecular dynamics
- public health
- cancer therapy
- induced apoptosis
- machine learning
- high resolution
- transcription factor
- cell free
- cell proliferation
- risk assessment
- signaling pathway
- big data
- artificial intelligence
- circulating tumor cells
- genome wide
- drug release
- deep learning