Enhancing antibody responses by multivalent antigen display on thymus-independent DNA origami scaffolds

Multivalent antigen display is a well-established design principle to enhance humoral immunity elicited by subunit vaccines. Protein-based virus-like particles (VLPs) are an important vaccine platform that implements this principle but also contain thymus-dependent off-target epitopes, thereby generating neutralizing and defocused antibody responses against the scaffold itself. Here, we present DNA origami as an alternative platform to display the receptor binding domain (RBD) of SARS-CoV-2. DNA-based scaffolds provide nanoscale control over antigen organization and, as thymus-independent antigens, are expected to induce only extrafollicular B-cell responses. Our icosahedral DNA-based VLPs elicited valency-dependent BCR signaling in two reporter B-cell lines, with corresponding increases in RBD-specific antibody responses following sequential immunization in mice. Mouse sera also neutralized the Wuhan strain of SARS-CoV-2--but did not contain boosted, DNA-specific antibodies. Thus, multivalent display using DNA origami can enhance immunogenicity of protein antigens without generating scaffold-directed immunological memory and may prove useful for rational vaccine design.

Structure of the full SARS-CoV-2 RNA genome in infected cells

SARS-CoV-2 is a betacoronavirus with a single-stranded, positive-sense, 30-kilobase RNA genome responsible for the ongoing COVID-19 pandemic. Currently, there are no antiviral drugs with proven efficacy, and development of these treatments are hampered by our limited understanding of the molecular and structural biology of the virus. Like many other RNA viruses, RNA structures in coronaviruses regulate gene expression and are crucial for viral replication. Although genome and transcriptome data were recently reported, there is to date little experimental data on native RNA structures in SARS-CoV-2 and most putative regulatory sequences are functionally uncharacterized. Here we report secondary structure ensembles of the entire SARS-CoV-2 genome in infected cells at single nucleotide resolution using dimethyl sulfate mutational profiling with sequencing (DMS-MaPseq) and the algorithm detection of RNA folding ensembles using expectation-maximization clustering (DREEM). Our results reveal previously undescribed alternative RNA conformations across the genome, including structures of the frameshift stimulating element (FSE), a major drug target, that are drastically different from prevailing in vitro population average models. Importantly, we find that this structural ensemble promotes frameshifting rates (~40%) similar to in vivo ribosome profiling studies and much higher than the canonical minimal FSE (~20%). Overall, our result highlight the value of studying RNA folding in its native, dynamic and cellular context. The genomic structures detailed here lays the groundwork for coronavirus RNA biology and will guide the design of SARS-CoV-2 RNA-based therapeutics.