Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

SARS-CoV-2 Infections - Gene Expression Omnibus (GEO) Data Mining, Pathway Enrichment Analysis, and Prediction of Repurposable Drugs/Compounds

Version 1 : Received: 18 September 2020 / Approved: 19 September 2020 / Online: 19 September 2020 (11:34:12 CEST)

How to cite: Chaparala, S.; Iwema, C.L.; Chattopadhyay, A. SARS-CoV-2 Infections - Gene Expression Omnibus (GEO) Data Mining, Pathway Enrichment Analysis, and Prediction of Repurposable Drugs/Compounds. Preprints 2020, 2020090459 (doi: 10.20944/preprints202009.0459.v1). Chaparala, S.; Iwema, C.L.; Chattopadhyay, A. SARS-CoV-2 Infections - Gene Expression Omnibus (GEO) Data Mining, Pathway Enrichment Analysis, and Prediction of Repurposable Drugs/Compounds. Preprints 2020, 2020090459 (doi: 10.20944/preprints202009.0459.v1).

Abstract

The COVID-19 global pandemic has created dire consequences with an alarming rate of morbidity and mortality. There are not yet vaccine or efficacious treatment options to combat the causative SARS-CoV-2 infection. This paper describes the identification of potentially repurposable drugs for COVID-19 treatment by conducting pathway enrichment analysis on publicly available Gene Expression Omnibus datasets. We first determined SARS-CoV-2 infection-induced alterations of host gene expressions and pathways. We then identified drugs or compounds that target and counter virus-triggered cellular perturbations, suggesting their potential repurposing for COVID-19 treatment. The key findings are that SARS-CoV-2 infection in host cells induces mitochondrial dysfunction, inhibits oxidative phosphorylation, and activates several immune response and pro-inflammatory pathways. Triptolide, the major bioactive component of a traditional Chinese medicine herb, may rescue mitochondrial dysfunction by activating oxidative phosphorylation. Further in vitro and in vivo studies are necessary to verify these results prior to clinical application.

Supplementary and Associated Material

https://figshare.com/collections/SARS-Cov2_Infections_-_Gene_Expression_Omnibus_GEO_Data_Mining_Pathway_Enrichment_Analysis_and_Prediction_of_Potentially_Repurposable_Drugs/5007983: A Figshare collection with results from RNA-Seq and pathway enrichment analyses of SARS-CoV-2 infected vs. Mock control experiments

Subject Areas

COVID-19; coronavirus; drug repositioning; pathway enrichment

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