Ace2 and Tmprss2 Expressions Are Regulated by Dhx32 and Influence the Gastrointestinal Symptoms Caused by SARS-CoV-2

Studies showed that the gastrointestinal (GI) tract is one of the most important pathways for SARS-CoV-2 infection and coronavirus disease 2019 (COVID-19). As SARS-CoV-2 cellular entry depends on the ACE2 receptor and TMPRSS2 priming of the spike protein, it is important to understand the molecular mechanisms through which these two proteins and their cognate transcripts interact and influence the pathogenesis of COVID-19. In this study, we quantified the expression, associations, genetic modulators, and molecular pathways for Tmprss2 and Ace2 mRNA expressions in GI tissues using a systems genetics approach and the expanded family of highly diverse BXD mouse strains. The results showed that both Tmprss2 and Ace2 are highly expressed in GI tissues with significant covariation. We identified a significant expression quantitative trait locus on chromosome 7 that controls the expression of both Tmprss2 and Ace2. Dhx32 was found to be the strongest candidate in this interval. Co-expression network analysis demonstrated that both Tmprss2 and Ace2 were located at the same module that is significantly associated with other GI-related traits. Protein–protein interaction analysis indicated that hub genes in this module are linked to circadian rhythms. Collectively, our data suggested that genes with circadian rhythms of expression may have an impact on COVID-19 disease, with implications related to the timing and treatment of COVID-19.

Signal amplification and optimization of riboswitch-based hybrid inputs by modular and titratable toehold switches

Background Synthetic biological circuits are widely utilized to control microbial cell functions. Natural and synthetic riboswitches are attractive sensor modules for use in synthetic biology applications. However, tuning the fold-change of riboswitch circuits is challenging because a deep understanding of the riboswitch mechanism and screening of mutant libraries is generally required. Therefore, novel molecular parts and strategies for straightforward tuning of the fold-change of riboswitch circuits are needed. Results In this study, we devised a toehold switch-based modulator approach that combines a hybrid input construct consisting of a riboswitch and transcriptional repressor and de-novo-designed riboregulators named toehold switches. First, the introduction of a pair of toehold switches and triggers as a downstream signal-processing module to the hybrid input for coenzyme B12 resulted in a functional riboswitch circuit. Next, several optimization strategies that focused on balancing the expression levels of the RNA components greatly improved the fold-change from 260- to 887-fold depending on the promoter and host strain. Further characterizations confirmed low leakiness and high orthogonality of five toehold switch pairs, indicating the broad applicability of this strategy to riboswitch tuning. Conclusions The toehold switch-based modulator substantially improved the fold-change compared to the previous sensors with only the hybrid input construct. The programmable RNA-RNA interactions amenable to in silico design and optimization can facilitate further development of RNA-based genetic modulators for flexible tuning of riboswitch circuitry and synthetic biosensors.

SynergyAge, a curated database for synergistic and antagonistic interactions of longevity-associated genes

Interventional studies on genetic modulators of longevity have significantly changed gerontology. While available lifespan data are continually accumulating, further understanding of the aging process is still limited by the poor understanding of epistasis and of the non-linear interactions between multiple longevity-associated genes. Unfortunately, based on observations so far, there is no simple method to predict the cumulative impact of genes on lifespan. As a step towards applying predictive methods, but also to provide information for a guided design of epistasis lifespan experiments, we developed SynergyAge - a database containing genetic and lifespan data for animal models obtained through multiple longevity-modulating interventions. The studies included in SynergyAge focus on the lifespan of animal strains which are modified by at least two genetic interventions, with single gene mutants included as reference. SynergyAge, which is publicly available at www.synergyage.info, provides an easy to use web-platform for browsing, searching and filtering through the data, as well as a network-based interactive module for visualization and analysis.

Toehold Switch-Based Genetic Modulator for Tuning of Riboswitch Sensor

BackgroundSynthetic biological circuits are widely utilized to control microbial cell functions. Natural and synthetic riboswitches are attractive classes of sensor modules for use in synthetic biological applications. However, tuning the dose-response parameters of riboswitch circuits is challenging because considerable understanding of riboswitch mechanism and screening of mutant libraries are generally required. Therefore, novel molecular parts and strategies for controlling the dose-response parameters of riboswitch circuits are needed.ResultsHere, we developed a toehold switch-based genetic modulator that combines a previously reported hybrid input construct, which consists of riboswitch and transcriptional repressor, and de-novo-designed riboregulators named as toehold switches. First, the introduction of a pair of toehold switch and trigger as a downstream signal-processing module resulted in a functional riboswitch circuit. Next, several optimization strategies that focused on the stoichiometric ratio of RNA components greatly improved the fold-change. Finally, further characterizations confirmed low leakiness and high orthogonality for multiple toehold switches, indicating its applicability in riboswitch circuits in a seamless manner.ConclusionsThe toehold switch-based genetic modulator improved the dynamic range and dramatically shifted the operational range compared to the previous sensors only with hybrid input construct. The programmable RNA-RNA interactions amenable to in silico design and optimization can facilitate further development of RNA-based genetic modulators for flexible tuning of riboswitch circuitry and synthetic biosensors.

High Hb F level is associated with the risk of cerebral vasculopathy in a cohort of sickle cell children in Mayotte.

Background Understanding the genetics underlying the heritable subphenotypes of sickle cell anemia, specific to each population, would be prognostically useful and could inform personalized therapeutics. Methods This study aimed to describe the genetic modulators of sickle cell disease in a cohort of pediatric patients followed in Mayotte between 2007 and 2017. Results We included 190 children with 72% SS, 16% Sβ0-thalassemia and 12% Sβ+ thalassemia. The mean age was 9.5 (1.6-23.4) years; 10% of patients were lost to follow up. The Bantu haplotype was associated with an increase in hospitalizations and transfusions. The alpha-thalassemic mutation was associated with a decrease of hemolysis biological parameters (anemia, reticulocytes), and less cerebral vasculopathy. The SNPs BCL11A rs4671393, BCL11A rs11886868, BCL11A rs1427407 and HMIP rs9399137 were associated with the group of children with HbF> 10%. The survival analysis without occurrence of cerebral vasculopathy showed that the group of patients with HbF> 10% presented a significant risk of early onset of cerebral vasculopathy. Conclusions Although the sub-phenotypes were difficult to clearly distinguish in our study, a genotype-sub-phenotype link is emerging.