ACE2 and TMPRSS2 SARS-CoV-2 infectivity genes: deep mutational scanning and characterization of missense variants.
Lingxin ZhangVivekananda SarangiDuan LiuMing-Fen HoAngela R GrassiLixuan WeiIrene MoonRobert A VierkantNicholas B LarsonKonstantinos N LazaridisArjun P AthreyaLiewei WangRichard WeinshilboumPublished in: Human molecular genetics (2022)
The human ACE2 and TMPRSS2 proteins play key roles in the cellular internalization of SARS-CoV-2, the coronavirus responsible for the COVID-19 pandemic. We set out to functionally characterize the ACE2 and TMPRSS2 protein abundance for variant alleles encoding these proteins that contained non-synonymous single-nucleotide polymorphisms (nsSNPs) in their open reading frames (ORFs). Specifically, a high-throughput assay, Deep Mutational Scanning (DMS), was employed to test the functional implications of nsSNPs which are variants of uncertain significance (VUS) in these two genes. Specifically, we used a 'landing pad' system designed to quantify the protein expression for 433 nsSNPs that have been observed in the ACE2 and TMPRSS2 ORFs and found that 8 of 127 ACE2, 19 of 157 TMPRSS2 isoform 1 and 13 of 149 TMPRSS2 isoform 2 variant proteins displayed less than approximately 25% of the wild-type protein expression, while 4 ACE2 variants displayed 25% or greater increases in protein expression. As a result, we concluded that nsSNPs in genes encoding ACE2 and TMPRSS2 might potentially influence SARS-CoV-2 infectivity. These results can now be applied to DNA sequence data for patients infected with SARS-CoV-2 to determine the possible impact of patient-based DNA sequence variation on the clinical course of SARS-CoV-2 infection.
Keyphrases
- sars cov
- angiotensin converting enzyme
- angiotensin ii
- respiratory syndrome coronavirus
- high throughput
- copy number
- genome wide
- end stage renal disease
- high resolution
- wild type
- circulating tumor
- ejection fraction
- cell free
- single molecule
- chronic kidney disease
- bioinformatics analysis
- newly diagnosed
- case report
- minimally invasive
- genome wide identification
- amino acid
- prognostic factors
- mass spectrometry
- electronic health record
- coronavirus disease
- gene expression
- patient reported outcomes
- big data
- autism spectrum disorder
- single cell
- artificial intelligence