Gene Expression Nebulas
A data portal of transcriptomic profiles analyzed by a unified pipeline across multiple species

Gene Expression Nebulas

A data portal of transcriptome profiles across multiple species

PRJNA719366: Global analysis of protein-RNA interactions in SARS-CoV-2 infected cells reveals key regulators of infection

Source: NCBI / GSE171382
Submission Date: Apr 02 2021
Release Date:
Update Date: May 31 2021

Summary: Global analysis of protein-RNA interactions in SARS-CoV-2 infected cells reveals key regulators of infection

Overall Design: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes COVID-19. SARS-CoV-2 relies on cellular RNA-binding proteins (RBPs) to replicate and spread, although which RBPs control SARS-CoV-2 infection remains largely unknown. Here, we employ a multi-omic approach to identify systematically and comprehensively which cellular and viral RBPs are involved in SARS-CoV-2 infection. We reveal that the cellular RNA-bound proteome is remodelled upon SARS-CoV-2 infection, having widespread effects on RNA metabolic pathways, non-canonical RBPs and antiviral factors. Moreover, we apply a new method to identify the proteins that directly interact with viral RNA, uncovering dozens of cellular RBPs and six viral proteins. Amongst them, several components of the tRNA ligase complex, which we show regulate SARS-CoV-2 infection. Furthermore, we discover that available drugs targeting host RBPs that interact with SARS-CoV-2 RNA inhibit infection. Collectively, our results uncover a new universe of host-virus interactions with potential for new antiviral therapies against COVID-19.

GEN Datasets:
GEND000462
Strategy:
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Protocol
Growth Protocol: Cells were maintained in DMEM supplemented with 10%FBS
Treatment Protocol: Knockdown was induced by treatment with 1ug/ml Doxycyclin; Cells were seeded into 2.5x10^5/well into 24well plates and infected at MOI=0.1 for 24hpi
Extract Protocol: 24hpi cells were detached and lysed in Trizol LS, total RNA extraction was performed following manufacturers recommendation RNA sequencing libraries were prepared using the Illumina Total RNA Prep with Ribo-Zero Plus library kit (Cat# 20040525) according to manufacturers guidelines. Briefly, 100ng of total RNA was first depleted of the abundant ribosomal RNA present in the samples by rRNA targeted DNA probe capture followed by enzymatic digestion. Samples were then purified by Beckman Coulter RNAClean XP beads (Cat #A63987). Obtained rRNA-depleted RNA was fragmented, reverse transcribed, converted to dsDNA, end repaired and A-tailed. The A-tailed DNA fragments were ligated to anchors allowing for PCR amplification with Illumina dual indexing primers (Cat#20040553)
Library Construction Protocol: Libraries were pooled in equimolar concentrations and sequenced on an Illumina NextSeq 500 sequencer using a high-output cartridge (Cat# 20024907), generating single 150bp long reads.
Sequencing
Molecule Type: rRNA- RNA
Library Source:
Library Layout: SINGLE
Library Strand: Forward
Platform: ILLUMINA
Instrument Model: Illumina NextSeq 500
Strand-Specific: specific
Samples
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Data Resource GEN Sample ID GEN Dataset ID Project ID BioProject ID Sample ID Sample Name BioSample ID Sample Accession Experiment Accession Release Date Submission Date Update Date Species Race Ethnicity Age Age Unit Gender Source Name Tissue Cell Type Cell Subtype Cell Line Disease Disease State Development Stage Mutation Phenotype Case Detail Control Detail Growth Protocol Treatment Protocol Extract Protocol Library Construction Protocol Molecule Type Library Layout Strand-Specific Library Strand Spike-In Strategy Platform Instrument Model Cell Number Reads Number Gbases AvgSpotLen1 AvgSpotLen2 Uniq Mapping Rate Multiple Mapping Rate Coverage Rate
Publications
Cutting Edge: Distinct B Cell Repertoires Characterize Patients with Mild and Severe COVID-19.
Journal of immunology (Baltimore, Md. : 1950) . 2021-05-28 [PMID: 34049971]