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

PRJNA706017: Exhaustive drug repurposing strategies support the pursuit of new chemical entities for the development of effective COVID-19 interventions

Source: NCBI / GSE168095
Submission Date: Mar 02 2021
Release Date:
Update Date: Jul 15 2021

Summary: The ongoing pandemic caused by the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), necessitates strategies to identify prophylactic and therapeutic drug candidates for rapid clinical deployment. Here we describe a screening pipeline for the discovery of efficacious SARS-CoV-2 inhibitors. Two high-throughput, high-content imaging infection assays (one using HeLa cells expressing SARS-CoV-2 receptor ACE2 and the other using lung epithelial Calu-3 cells) were developed and used to screen ReFRAME, a best-in-class drug repurposing library. Among the promising hits, the antivirals nelfinavir and the parent of prodrug MK-4482 had most favorable in vitro activity, pharmacokinetic and human safety profiles, and both reduced SARS-CoV-2 replication in an orthogonal human differentiated primary cell model. However, only MK-4482 effectively blocked SARS-CoV-2 infection in a hamster model, likely due to inadequate plasma exposure of nelfinavir.

Overall Design: Hamster lung from uninfected (U, n=2), vehicle treated (V, n=4) and MK-4482 (EIDD-2801) treated (T, n=4) samples were analyzed using RNASeq platform.

GEN Datasets:
GEND000459
Strategy:
Species:
Tissue:
Healthy Condition:
Protocol
Growth Protocol: Hamster lung samples were collected after two different treatment regimens.
Treatment Protocol: Hamster were infected with SARS-CoV-2 using a BSL-3 facility.
Extract Protocol: The lungs were harvested from the hamsters and homogenized in TRI-Reagent. RNA were extracted after infection using the Quick-RNA MicroPrep Kit (Zymo Research, USA) according to the manufacture’s instruction. RNA was converted into cDNA using the qScript™ cDNA SuperMix (Quantabio).
Library Construction Protocol: RNA sequencing libraries were generated using the Illumina TruSeq Stranded Total RNA Library Prep Gold with TruSeq Unique Dual Indexes (Illumina, San Diego, CA). Samples were processed following manufacturer’s instructions, except modifying RNA shear time to five minutes. Resulting libraries were multiplexed and sequenced with 100 basepair (bp) Paired End (PE100) to a depth of approximately 25-40 million reads per sample on an Illumina NovaSeq 6000. Samples were demuxltiplexed using bcl2fastq v2.20 Conversion Software (Illumina, San Diego, CA).
Sequencing
Molecule Type: polyA(+) RNA
Library Source:
Library Layout: PAIRED
Library Strand: Forward
Platform: ILLUMINA
Instrument Model: Illumina NovaSeq 6000
Strand-Specific: specific
Samples
Basic Information:
Sample Characteristic:
Biological Condition:
Experimental Variables:
Protocol:
Sequencing:
Assessing Quality:
Analysis:
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
Mucosal-associated invariant T cell responses differ by sex in COVID-19.
Med (New York, N.Y.) . 2021-04-13 [PMID: 33870241]
Drug repurposing screens identify chemical entities for the development of COVID-19 interventions.
Nature communications . 2021-06-03 [PMID: 34083527]
AI-guided discovery of the invariant host response to viral pandemics.
EBioMedicine . 2021-06-11 [PMID: 34127431]