Low Density Lipoprotein Receptor-Related Protein 1 (LRP1) is a host factor for RNA viruses including SARS-CoV-2 (preprint)

Viruses with an RNA genome are the main causes of zoonotic infections. In order to identify novel pro-viral host cell factors, we screened a haploid insertion-mutagenized mouse embryonic cell library for clones that rendered them resistant to the zoonotic Rift Valley fever virus (RVFV; family Phleboviridae, order Bunyavirales). This screen returned the Low Density Lipoprotein Receptor-Related protein 1 (LRP1, or CD91) as top hit, a 600 kDa plasma membrane protein known to be involved in a wide variety of cell activities. Inactivation of LRP1 expression in human cells reduced RVFV infection at the early stages of infection, including the particle attachment to the cell. In the highly LRP1-positive human HuH-7 cell line, LRP1 was required for the early infection stages also of Sandfly fever Sicilian virus (SFSV; family Phleboviridae, order Bunyavirales), vesicular stomatitis (VSV; family Rhabdoviridae, order Mononegavirales), Encephalomyocarditis virus (EMCV, family Picornaviridae), and the coronaviruses MERS-CoV, SARS-CoV-1, and SARS-CoV-2. While for RVFV, EMCV, and MERS-CoV the replication cycle could eventually catch up, LRP1 requirement for the late infection stage in HuH-7 cells was observed for SFSV, La Crosse virus (LACV; family Peribunyaviridae, order Bunyavirales), VSV, SARS-CoV-1, and SARS-CoV-2. For SARS-CoV-2, the absence of LRP1 stably reduced viral RNA levels in human lung Calu-3 cells, and both RNA levels and particle production in the hepatic HuH-7 cells. Thus, we identified LRP1 as a host factor that supports various infection cycle stages of a broad spectrum of RNA viruses.

High-throughput Mutational Surveillance of the SARS-CoV-2 Spike Gene (preprint)

SARS-CoV-2 has evolved rapidly towards higher infectivity and partial immune escape over the course of the pandemic. This evolution is driven by the enormous virus population, that has infected close to 200 million people by now. Therefore, cost effective and scalable methods are needed to monitor viral evolution globally. Mutation-specific PCR approaches have become inadequate to distinguish the variety of circulating SARS-CoV-2 variants and are unable to detect novel ones. Conversely, whole genome sequencing protocols remain too labor- and cost-intensive to monitor SARS-CoV-2 at the required density. By adapting SARSeq we present a simple, fast, and scalable S-gene tiling pipeline for focused sequencing of the S-gene encoding for the spike protein. This method reports on all sequence positions with known importance for infectivity and immunity, yet scales to >20K samples per run. S-gene tiling is used for nationwide surveillance of SARS-CoV-2 at a density of 10% to 50% of all cases of infection in Austria. SARSeq S-tiling uncovered several infection clusters with variants of concern such as the biggest known cluster of Beta/B.1.351 outside Africa and successfully informed public health measures in a timely manner, allowing their successful implementation. Our close monitoring of mutations further highlighted evolutionary constraints and freedom of the spike protein ectodomain and sheds light on foreseeable evolutionary trajectories.

SARSeq, a robust and highly multiplexed NGS assay for parallel detection of SARS-CoV2 and other respiratory infections (preprint)

During a pandemic, mitigation as well as protection of system-critical or vulnerable institutions requires massive parallel, yet cost effective testing to monitor the spread of agents such as the current SARS-CoV2 virus. Here we present SARSeq, saliva analysis by RNA sequencing, as an approach to monitor presence of SARS-CoV2 and other respiratory viruses performed on tens of thousands of samples in parallel. SARSeq is based on next generation sequencing of multiple amplicons generated in parallel in a multiplexed RT-PCR reaction. It relies on a two-dimensional unique dual indexing strategy using four indices in total for unambiguous and scalable assignment of reads to individual samples. We calibrated this method using dilutions of synthetic RNA and virions to show sensitivity down to few molecules, and applied it to hundreds of patient samples validating robust performance across various sample types. Double blinded benchmarking to gold-standard quantitative RT-PCR performed in a clinical setting and a human diagnostics laboratory showed robust performance up to a Ct of 36. The false positive rate, likely due to cross contamination during sample pipetting, was estimated at 0.04-0.1%. In addition to SARS-CoV2, SARSeq detects Influenza A and B viruses as well as human rhinovirus and can be easily expanded to include detection of other pathogens. In sum, SARSeq is an ideal platform for differential diagnostic of respiratory diseases at a scale, as is required during a pandemic.