Background: Coronavirus disease 2019 is caused by SARS-coronavirus 2 (SARS-CoV-2). Angiotensin converting enzyme 2 (ACE2) and transmembrane protease serine 2 (TMPRSS2) mediate viral infection of host cells. We reasoned that differences in ACE2 or TMPRSS2 gene expression in sputum cells among asthma patients may identify subgroups at risk for COVID19 morbidity. Methods:We analyzed gene expression for ACE2 and TMPRSS2, and for intercellular adhesion molecule 1 (ICAM-1)(rhinovirus receptor as a comparator), in sputum cells from 330 participants in the Severe Asthma Research Program-3 and 79 healthy controls.Results: Gene expression of ACE2 was lower than TMPRSS2, and expression levels of both genes was similar in asthma and health. Among asthma patients, male gender, African Americans race, and history of diabetes mellitus, was associated with higher expression of ACE2 and TMPRSS2. Use of inhaled corticosteroids (ICS) was associated with lower expression of ACE2 and TMPRSS2, but treatment with triamcinolone acetonide (TA) did not decrease expression of either gene. These findings differed from those for ICAM-1, where gene expression was increased in asthma and less consistent differences were observed related to gender, race, and use of ICS. Conclusion:Higher expression of ACE2 and TMPRSS2 in males, African Americans, and patients with diabetes mellitus provides rationale for monitoring these asthma subgroups for poor COVID19 outcomes. The lower expression of ACE2 and TMPRSS2 with ICS use warrants prospective study of ICS use as a predictor of decreased susceptibility to SARS-CoV-2 infection and decreased COVID19 morbidity. the participant level with restricted maximum likelihood models. P-values <0.05 were considered statistically significant. RESULTS SubjectsThe demographic and clinical features of the asthma patients and healthy controls are shown in Table 1. Gene expression for SARS-Cov-2-and HRV-related genes in induced sputum cells from asthma patients and healthy controlsIn induced sputum cells collected at the baseline visit, the expression levels of ACE2 were lower than the expression levels of TMPRSS2, and some sputum samples had undetectable ACE2 ( Figure 1A). The expression of ACE2 and TMPRSS2 did not differ significantly in health and in asthma ( Figure 1A,B). In contrast to the SARS-Co-V2related genes, gene expression of ICAM1 was higher in asthma than in health ( Figure 1C). The expression of ACE2 was strongly associated with the expression of TMPRSS2 in the healthy control subgroup (Figure 2A) and the asthma subgroup ( Figure 2B), suggesting that these genes are expressed in similar cells(18). Relationship between clinical and demographic variables and expression levels of SARS-Cov-2-and HRV-related genes in asthma patientsHere we analyzed gene expression data in the induced sputum samples collected at the baseline visit 2 and the follow up visits 4 (year 1) and 6 (year 3). The total number was 556 samples from 330 asthma subjects. ACE2 and TMPRSS2 expression levels increased slightly with age, bu...

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 quantitative trait loci for both ACE2 and TMPRSS2, that vary in frequency across world populations. We find TMPRSS2 is part of a mucus secretory network, highly upregulated by type 2 (T2) inflammation through the action of interleukin-13, and that the interferon response to respiratory viruses highly upregulates ACE2 expression. IL-13 and virus infection mediated effects on ACE2 expression were also observed at the protein level in the airway epithelium. Finally, we define airway responses to common coronavirus infections in children, finding that these infections generate host responses similar to other viral species, including upregulation of IL6 and ACE2. Our results reveal possible mechanisms influencing SARS-CoV-2 infectivity and COVID-19 clinical outcomes.

32Coronavirus disease 2019 outcomes vary from asymptomatic infection to 33 death. This disparity may reflect different airway levels of the SARS-CoV-2 receptor, 34 ACE2, and the spike protein activator, TMPRSS2. Here we explore the role of genetics 35 and co-expression networks in regulating these genes in the airway, through the 36 analysis of nasal airway transcriptome data from 695 children. We identify expression 37 quantitative trait loci (eQTL) for both ACE2 and TMPRSS2, that vary in frequency 38 across world populations. Importantly, we find TMPRSS2 is part of a mucus secretory 39 network, highly upregulated by T2 inflammation through the action of interleukin-13, and 40 that interferon response to respiratory viruses highly upregulates ACE2 expression. 41Finally, we define airway responses to coronavirus infections in children, finding that 42 these infections upregulate IL6 while also stimulating a more pronounced cytotoxic 43 immune response relative to other respiratory viruses. Our results reveal mechanisms 44 likely influencing SARS-CoV-2 infectivity and COVID-19 clinical outcomes. 45 46 47 48 IL-13), which is common in both children and adults and has been associated with the 87 development of both asthma and COPD in a subgroup of patients [11][12][13] . T2 cytokines are 88 known to greatly modify gene expression in the airway epithelium, both through 89 transcriptional changes within cells and epithelial remodeling in the form of mucus 90 metaplasia 11, 14, 15 . Microbial infection is another strong regulator of airway epithelial 91 expression. In particular, respiratory viruses can modulate the expression of thousands 92 of genes within epithelial cells, while also recruiting and activating an assortment of 93 immune cells [16][17][18] . Even asymptomatic nasal carriage of respiratory viruses, which is 94 especially common in childhood, has been shown to be associated with both genome-95 wide transcriptional re-programming and infiltration of macrophages and neutrophils in 96 the airway epithelium 19 , demonstrating how viral infection can drive pathology even 97 without overt signs of illness. 98 99 . CC-BY-NC-ND 4.0 International license was not certified by peer review) is the author/funder. It is made available under a Genetic variation is another factor that may regulate gene expression in the airway 100 epithelium. Indeed, expression quantitative trait loci (eQTL) analyses carried out in 101 many tissues have suggested that as many as 70% of genes expressed by a tissue or 102organ are under genetic control 20 . Severity of human rhinovirus (HRV) respiratory illness 103 has specifically been associated with genetic variation in the epithelial genes CDHR3 21 104 and the ORMDL3 22 and, given differences in genetic variation across world populations, 105 it is possible that functional genetic variants in SARS-CoV-2-related genes could partly 106 explain population differences in COVID-19 clinical outcomes. 107 108 Finally, there are important questions regarding the host response to SARS-CoV-2...

Canonical Notch signaling involves Notch receptor activation via interaction with cell surface bound Notch ligand. Recent findings also indicate that Notch signaling may be modulated by cross-talk with other signaling mechanisms. The ECM protein MAGP2 was previously shown to regulate Notch in a cell type dependent manner, although the molecular details of this interaction have not been dissected. Here, we report that MAGP2 cell type specific control of Notch is independent of individual Notch receptor-ligand combinations but dependent on interaction with RGD binding integrins. Overexpressed MAGP2 was found to suppress transcriptional activity from the Notch responsive Hes1 promoter activity in endothelial cells, while overexpression of a RGD→RGE MAGP2 mutant increased Notch signaling in the same cell type. This effect was not unique to MAGP2 since the RGD domain of the ECM protein EGFL7 was also found to be an important modulator of Hes1 promoter activity. Independently of MAGP2 or EGFL7, inhibition of RGD-binding integrins with soluble RGD peptides also increased accumulation of active N1ICD fragments and Notch responsive promoter activity independently of changes in Notch1, Jag1, or Dll4 expression. Finally, β1 or β3 integrin blocking antibodies also enhanced Notch signaling. Collectively, these results answer the question of how MAGP2 controls cell type dependent Notch signaling, but more importantly uncover a new mechanism to understand how extracellular matricies and cellular environments impact Notch signaling.

Each individual perceives the world in a unique way, but little is known about the genetic basis of variation in sensory perception. In the fly eye, the random mosaic of color-detecting R7 photoreceptor subtypes is determined by stochastic on/off expression of the transcription factor Spineless (Ss). In a genome-wide association study, we identified a naturally occurring insertion in a regulatory DNA element in ss that lowers the ratio of SsON to SsOFF cells. This change in photoreceptor fates shifts the innate color preference of flies from green to blue. The genetic variant increases the binding affinity for Klumpfuss (Klu), a zinc finger transcriptional repressor that regulates ss expression. Klu is expressed at intermediate levels to determine the normal ratio of SsON to SsOFF cells. Thus, binding site affinity and transcription factor levels are finely tuned to regulate stochastic expression, setting the ratio of alternative fates and ultimately determining color preference.