2020Research SquareOpen access

Identification of potential biomarkers and inhibitors in SARS-CoV-2 infected macaques

Hanming Gu, Wei Wang, Gongsheng Yuan

Open full text 2 citations

Abstract

Abstract The COVID-19 pandemic caused by the infection with SARS-CoV-2 has overwhelmed many health systems globally. Our study is to identify differentially expressed genes (DEGs) and the associated biological pathways of COVID-19 to elucidate the potential pathogenesis and metabolism. The gene expression profile of the GSE155363 dataset was originally produced using the high-throughput Illumina HiSeq 4000 (Macaca mulatta). Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed to discover their functional categories and biochemical pathways. The results suggested that four biological pathways: Fatty acid elongation, Biosynthesis of unsaturated fatty acids, Fatty acid metabolism, and Ribosome were mostly involved in the macaques with COVID-19. Thus, our study provides novel insights into the underlying pathogenesis of COVID-19.

Open-access reader

About this research paper

What this paper is about

Abstract The COVID-19 pandemic caused by the infection with SARS-CoV-2 has overwhelmed many health systems globally. Our study is to identify differentially expressed genes (DEGs) and the associated biological pathways of COVID-19 to elucidate the potential pathogenesis and metabolism. The gene expression profile of the GSE155363 dataset was originally produced using the high-throughput Illumina HiSeq 4000 (Macaca mulatta). Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed to discover their functional categories and biochemical pathways. The results suggested that four biological pathways: Fatty acid elongation, Biosynthesis of unsaturated fatty acids, Fatty acid metabolism, and Ribosome were mostly involved in the macaques with COVID-19. Thus, our study provides novel insights into the underlying pathogenesis of COVID-19.

Why it matters

OpenAlex reports 2 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract The COVID-19 pandemic caused by the infection with SARS-CoV-2 has overwhelmed many health systems globally. Our study is to identify differentially expressed genes (DEGs) and the associated biological pathways of COVID-19 to elucidate the potential pathogenesis and metabolism. The gene expression profile of the GSE155363 dataset was originally produced using the high-throughput Illumina HiSeq 4000 (Macaca mulatta). Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed to discover their functional categories and biochemical pathways. The results suggested that four biological pathways: Fatty acid elongation, Biosynthesis of unsaturated fatty acids, Fatty acid metabolism, and Ribosome were mostly involved in the macaques with COVID-19. Thus, our study provides novel insights into the underlying pathogenesis of COVID-19.

Key concepts: KEGG, Biology, Biological pathway, Computational biology, Gene, Metabolic pathway, Pathogenesis, Identification (biology)

Related papers

Back to paper searchBrowse research topicsOriginal source