Using bioinformatics for Covid-19 clarification
2020
Heinrich Heine University, Düsseldorf, Germany
A meta-analysis was performed with RNA sequence data from three Sars-CoV-2 studies in human lung epithelial cells. The expression of the angiotensin I converting enzyme 2 (ACE2) correlated with the expression of several genes, like the transmembrane serine protease 4 (TMPRSS4) and genes from the viral life cycle and interferon response. This dataset can contribute to a better understanding of the molecular mechanisms underlying COVID-19.
Meta-analysis of transcriptomes of SARS-Cov2 infected human lung epithelial cells identifies transmembrane serine proteases co-expressed with ACE2 and biological processes related to viral entry, immunity, inflammation and cellular stress
James Adjaye
Added on: 05-25-2020
[1] https://www.biorxiv.org/content/10.1101/2020.05.12.091314v1[2] https://www.invitrojobs.com/index.php/en/news/news-archive/item/4707-using-bioinformatics-for-covid-19-clarification
