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

PRJNA659996: AI-guided Discovery of a Paradoxical Immune Response in Fatal COVID-19 (Hamster)

Source: NCBI / GSE157058
Submission Date: Aug 28 2020
Release Date:
Update Date: Jul 15 2021

Summary: We sought to define the host immune response, a.k.a, the “cytokine storm” that has been implicated in fatal COVID-19 using an AI-based approach. Over 45,000 publicly available transcriptomic datasets of viral pandemics were analyzed to extract a 166-gene signature using ACE2 as a ‘seed’ gene; ACE2 was rationalized because the receptor it encodes enables the virus that causes Covid-19, SARS-CoV-2, to enter host cells. The signature was surprisingly conserved in all viral pandemics, including COVID-19, inspiring the nomenclature ViP-signature. A subset of 20-genes classified disease severity in respiratory pandemics. The ViP signatures pinpointed airway epithelial and myeloid cells as the major contributors of an IL-15 cytokine storm, and epithelial and NK cell destruction as determinants of severity/fatality. They also helped formulate precise therapeutic goals to reduce disease symptoms and severity. Thus, the ViP signatures provide a quantitative and qualitative framework for titrating the immune response in viral pandemics and may serve as a powerful unbiased tool in our armamentarium to rapidly assess disease severity and vet candidate drugs

Overall Design: Lung samples from 8-week old Syrian hamsters were used from a previously published study (PMID:32540903). We chose three different groups of samples: uninfected control, SARS-CoV-2 challenge after Den3 (antibody to dengue virus), and SARS-CoV-2 challenge after Anti-CoV2 (CC12.2; a potent SARS-CoV-2 neutralizing antibodies) (PMID:32540903)

GEN Datasets:
GEND000434
Strategy:
Species:
Tissue:
Healthy Condition:
Cell Type:
Cell Line:
Development Stage:
Protocol
Growth Protocol: Hamster lung samples were collected from previously published study
Treatment Protocol: Hamster were infected with SARS-CoV-2 using a BSL-3 facility.; Hamster were infected with SARS-CoV-2 using a BSL-4 facility.; Hamster were infected with SARS-CoV-2 using a BSL-5 facility.; Hamster were infected with SARS-CoV-2 using a BSL-6 facility.; Hamster were infected with SARS-CoV-2 using a BSL-7 facility.; Hamster were infected with SARS-CoV-2 using a BSL-8 facility.; Hamster were infected with SARS-CoV-2 using a BSL-9 facility.; Hamster were infected with SARS-CoV-2 using a BSL-10 facility.
Extract Protocol: 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).
Sequencing
Molecule Type: Total 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
AI-guided discovery of the invariant host response to viral pandemics.
bioRxiv : the preprint server for biology . 2021-04-13 [PMID: 32995790]
AI-guided discovery of the invariant host response to viral pandemics.
EBioMedicine . 2021-06-11 [PMID: 34127431]