Bioinformatic characterization of angiotensin-converting enzyme 2, the entry receptor for SARS-CoV-2

Harlan Barker; Seppo Parkkila

Comparisons of ACE2 expression values in different tissues and between groups delineated by age or sex, were carried out by one-way ANOVA using the stats package in the SciPy (34) Python library. Only groups with 20 or more observations and a 2-sided chi squared probability of normality of <=0.1 (due to the robustness of ANOVA to non-normal distributions) were used for . CC-BY 4.0 International license author/funder. It is made available under a The copyright holder for this preprint (which was not peer-reviewed) is the . https://doi.org/10.1101/2020.04.13.038752 doi: bioRxiv preprint comparison. Correlation of gene expression values was calculated by two-sided Spearman rankorder analysis, where a Bonferroni-corrected p-value threshold was computed using α=0.05/number of comparisons. Gene ontology enrichment analyses performed using the GProfiler tool utilize a custom algorithm for multiple testing of dependent results, which corresponds to an experimentwide threshold of α=0.05. TFBSfootprinter analysis of the ACE2 promoter limits results for individual TFBSs whose score satisfies a genome-wide threshold of α=0.01.