The COVID-19 pandemic has demonstrated the need for massively-parallel, cost-effective tests monitoring viral spread. Here we present SARSeq, saliva analysis by RNA sequencing, a method to detect SARS-CoV-2 and other respiratory viruses on tens of thousands of samples in parallel. SARSeq relies on next generation sequencing of multiple amplicons generated in a multiplexed RT-PCR reaction. Two-dimensional, unique dual indexing, using four indices per sample, enables unambiguous and scalable assignment of reads to individual samples. We calibrate SARSeq on SARS-CoV-2 synthetic RNA, virions, and hundreds of human samples of various types. Robustness and sensitivity were virtually identical to quantitative RT-PCR. Double-blinded benchmarking to gold standard quantitative-RT-PCR performed by human diagnostics laboratories confirms this high sensitivity. SARSeq can be used to detect Influenza A and B viruses and human rhinovirus in parallel, and can be expanded for detection of other pathogens. Thus, SARSeq is ideally suited for differential diagnostic of infections during a pandemic.
All multicellular life relies on differential gene expression, determined by regulatory DNA elements and DNA-binding transcription factors that mediate activation and repression via cofactor recruitment. While activators have been extensively characterized, repressors are less well studied and their repressive domains (RDs) are typically unknown, as are the RDs' properties and the co-repressors (CoRs) they recruit. Here, we develop the high-throughput next-generation-sequencing-based method Repressive-Domain (RD)-seq to systematically identify RDs in complex libraries. Screening more than 200,000 fragments covering the coding sequences of all transcription-related proteins in Drosophila melanogaster, we identify 195 RDs in known repressors and in proteins not previously associated with repression. Many RDs contain recurrent short peptide motifs that are required for RD function, as demonstrated by motif mutagenesis, and are conserved between fly and human. Moreover, we show that RDs which contain one of five distinct repressive motifs interact with and depend on different CoRs, including Groucho, CtBP, Sin3A or Smrter. Overall, our work constitutes an invaluable resource and advances our understanding of repressors, their sequences, and the functional impact of sequence-altering mutations.
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