1. Evolution of a designed protein assembly encapsulating its own RNA genome
- Author
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Suzie H. Pun, Heather H. Gustafson, Neil P. King, Rashmi Ravichandran, Garreck H. Lenz, Marc J. Lajoie, David Baker, Una Nattermann, Angelica Yehdego, Jacob B. Bale, Daniel Ellis, Sharon Ke, Drew L. Sellers, and Gabriel Butterfield
- Subjects
Models, Molecular ,0301 basic medicine ,Immunodeficiency Virus, Bovine ,Computer science ,viruses ,Bioengineering ,Genome, Viral ,02 engineering and technology ,Computational biology ,Genome ,Article ,Virus ,Viral vector ,Mice ,03 medical and health sciences ,Drug Delivery Systems ,Escherichia coli ,Animals ,RNA, Messenger ,Selection, Genetic ,Nucleocapsid ,Multidisciplinary ,Virus Assembly ,RNA ,Genetic Therapy ,021001 nanoscience & nanotechnology ,030104 developmental biology ,Capsid ,Gene Products, tat ,Drug delivery ,Nucleic acid ,RNA, Viral ,Female ,Genetic Fitness ,Directed Molecular Evolution ,0210 nano-technology - Abstract
Computationally designed icosahedral protein-based assemblies can protect their genetic material and evolve in biochemical environments, suggesting a route to the custom design of synthetic nanomaterials for non-viral drug delivery. Viruses use capsids, or protein shells, to envelop and protect their genomes. This tricks the cell's machinery into using their genetic material for their own replication. Several viruses have been used for gene therapy. In this work, David Baker and colleagues design and build icosahedral protein-based assemblies which protect their genetic material and can evolve in biochemical environments, like a synthetic virus capsid. These assemblies are termed synthetic nucleocapsids. Evolution of the nucleocapsid designs improved both their mRNA packaging efficiency, which competes with commonly used viral vectors for gene therapy, and their circulation stability in vivo. This work raises the possibility of designing custom synthetic nucleocapsids for various uses and RNA cargoes, including for drug delivery. The challenges of evolution in a complex biochemical environment, coupling genotype to phenotype and protecting the genetic material, are solved elegantly in biological systems by the encapsulation of nucleic acids. In the simplest examples, viruses use capsids to surround their genomes. Although these naturally occurring systems have been modified to change their tropism1 and to display proteins or peptides2,3,4, billions of years of evolution have favoured efficiency at the expense of modularity, making viral capsids difficult to engineer. Synthetic systems composed of non-viral proteins could provide a ‘blank slate’ to evolve desired properties for drug delivery and other biomedical applications, while avoiding the safety risks and engineering challenges associated with viruses. Here we create synthetic nucleocapsids, which are computationally designed icosahedral protein assemblies5,6 with positively charged inner surfaces that can package their own full-length mRNA genomes. We explore the ability of these nucleocapsids to evolve virus-like properties by generating diversified populations using Escherichia coli as an expression host. Several generations of evolution resulted in markedly improved genome packaging (more than 133-fold), stability in blood (from less than 3.7% to 71% of packaged RNA protected after 6 hours of treatment), and in vivo circulation time (from less than 5 minutes to approximately 4.5 hours). The resulting synthetic nucleocapsids package one full-length RNA genome for every 11 icosahedral assemblies, similar to the best recombinant adeno-associated virus vectors7,8. Our results show that there are simple evolutionary paths through which protein assemblies can acquire virus-like genome packaging and protection. Considerable effort has been directed at ‘top-down’ modification of viruses to be safe and effective for drug delivery and vaccine applications1,9,10; the ability to design synthetic nanomaterials computationally and to optimize them through evolution now enables a complementary ‘bottom-up’ approach with considerable advantages in programmability and control.
- Published
- 2017
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