Type 2 and interferon inflammation regulate SARS-CoV-2 entry factor expression in the airway epithelium
Abstract Coronavirus disease 2019 (COVID-19) is caused by SARS-CoV-2, an emerging
virus that utilizes host proteins ACE2 and TMPRSS2 as entry factors. Understanding the
factors affecting the pattern and levels of expression of these genes is important for deeper
understanding of SARS-CoV-2 tropism and pathogenesis. Here we explore the role of
genetics and co-expression networks in regulating these genes in the airway, through the
analysis of nasal airway transcriptome data from 695 children. We identify expression …
virus that utilizes host proteins ACE2 and TMPRSS2 as entry factors. Understanding the
factors affecting the pattern and levels of expression of these genes is important for deeper
understanding of SARS-CoV-2 tropism and pathogenesis. Here we explore the role of
genetics and co-expression networks in regulating these genes in the airway, through the
analysis of nasal airway transcriptome data from 695 children. We identify expression …
Type 2 and interferon inflammation strongly regulate SARS-CoV-2 related gene expression in the airway epithelium
SP Sajuthi, P DeFord, ND Jackson, MT Montgomery… - Biorxiv, 2020 - pmc.ncbi.nlm.nih.gov
Coronavirus disease 2019 (COVID-19) outcomes vary from asymptomatic infection to death.
This disparity may reflect different airway levels of the SARS-CoV-2 receptor, ACE2, and the
spike protein activator, TMPRSS2. Here we explore the role of genetics and co-expression
networks in regulating these genes in the airway, through the analysis of nasal airway
transcriptome data from 695 children. We identify expression quantitative trait loci (eQTL) for
both ACE2 and TMPRSS2, that vary in frequency across world populations. Importantly, we …
This disparity may reflect different airway levels of the SARS-CoV-2 receptor, ACE2, and the
spike protein activator, TMPRSS2. Here we explore the role of genetics and co-expression
networks in regulating these genes in the airway, through the analysis of nasal airway
transcriptome data from 695 children. We identify expression quantitative trait loci (eQTL) for
both ACE2 and TMPRSS2, that vary in frequency across world populations. Importantly, we …
