7%) had history of prior TE events. Incidence of deep venous thrombosis and pulmonary embolism was 1.8% and 0.5%, respectively. Arterial events occurred in the brain (66.7%), aorta (16.7%) and coronary arteries (16.7%). Median time from COVID test was 8 days (IQR, 1.5 - 11.3). Five patients (41.7%) had received either prophylactic or therapeutic anticoagulation for a median 2 days (IQR, 1 - 5). Median peak D-dimer within 36 hours of the TE event was 9.8 mcg/mL (N=4 patients, IQR, 1.7 - 18.3). Mortality did not differ significantly between the patients with new TE events vs those without; mortality 41.7% vs 37.4%, respectively, p=0.77. Empiric anticoagulation did not improve mortality. Fifty percent of all TE events were arterial. The overall TE rate of 5.5% in the cancer population was not higher than the risk of general population. Our findings support the need for larger studies in the COVID-19+ cancer population.Pathogenic coronaviruses represent a major threat to global public health. Here, using a recombinant reporter virus-based compound screening approach, we identified several small-molecule inhibitors that potently block the replication of the newly emerged severe acute respiratory syndrome virus 2 (SARS-CoV-2). Two compounds, nitazoxanide and JIB-04 inhibited SARS-CoV-2 replication in Vero E6 cells with an EC 50 of 4.90 μM and 0.69 μM, respectively, with specificity indices of greater than 150. Both inhibitors had in vitro antiviral activity in multiple cell types against some DNA and RNA viruses, including porcine transmissible gastroenteritis virus. In an in vivo porcine model of coronavirus infection, administration of JIB-04 reduced virus infection and associated tissue pathology, which resulted in improved body weight gain and survival. These results highlight the potential utility of nitazoxanide and JIB-04 as antiviral agents against SARS-CoV-2 and other viral pathogens.Coronaviruses are adept at evading and/or antagonizing double-stranded RNA-induced host antiviral pathways, including interferon signaling, OAS-RNase L and PKR while robust cytokine responses characterize severe coronavirus disease. Knowledge of how newly emerged SARS-CoV-2 interacts with these pathways is minimal. SARS-CoV-2 readily infects patient-derived nasal epithelial cells and induced pluripotent stem cell-derived alveolar type 2 cells(iAT2) and cardiomyocytes(iCM). Robust activation of interferons or RNase L is not observed, while PKR activation is evident in iAT2 and iCM. In SARS-CoV-2 infected Calu-3 and A549 ACE2 lung derived cell lines, activation of all pathways is observed, similar to a mutant MERS-CoV lacking innate immune antagonists. Moreover, increased replication in RNASEL knockout A549 ACE2 cells, implicates RNase L in restricting SARS-CoV-2. Finally, while SARS-CoV-2 is less adept at antagonizing these host defense pathways compared to other coronaviruses, the innate immune response is still generally weak. These host-virus interactions may contribute to the unique pathogenesis of SARS-CoV-2.Understanding how human ACE2 genetic variants differ in their recognition by SARS-CoV-2 can have a major impact in leveraging ACE2 as an axis for treating and preventing COVID-19. In this work, we experimentally interrogate thousands of ACE2 mutants to identify over one hundred human single-nucleotide variants (SNVs) that are likely to have altered recognition by the virus, and make the complementary discovery that ACE2 residues distant from the spike interface can have a strong influence upon the ACE2-spike interaction.  https://www.selleckchem.com/products/ipi-549.html  These findings illuminate new links between ACE2 sequence and spike recognition, and will find wide-ranging utility in SARS-CoV-2 fundamental research, epidemiological analyses, and clinical trial design.The emergence of the SARS-CoV-2 virus and subsequent COVID-19 pandemic initiated intense research into the mechanisms of action for this virus. It was quickly noted that COVID-19 presents more seriously in conjunction with other human disease conditions such as hypertension, diabetes, and lung diseases. We conducted a bioinformatics analysis of COVID-19 comorbidity-associated gene sets, identifying genes and pathways shared among the comorbidities, and evaluated current knowledge about these genes and pathways as related to current information about SARS-CoV-2 infection. We performed our analysis using GeneWeaver (GW), Reactome, and several biomedical ontologies to represent and compare common COVID-19 comorbidities. Phenotypic analysis of shared genes revealed significant enrichment for immune system phenotypes and for cardiovascular-related phenotypes, which might point to alleles and phenotypes in mouse models that could be evaluated for clues to COVID-19 severity. Through pathway analysis, we identified enriched pathways shared by comorbidity datasets and datasets associated with SARS-CoV-2 infection.COVID-19 CG is an open resource for tracking SARS-CoV-2 single-nucleotide variations (SNVs) and lineages while filtering by location, date, gene, and mutation of interest. COVID-19 CG provides significant time, labor, and cost-saving utility to diverse projects on SARS-CoV-2 transmission, evolution, emergence, immune interactions, diagnostics, therapeutics, vaccines, and intervention tracking. Here, we describe case studies in which users can interrogate (1) SNVs in the SARS-CoV-2 Spike receptor binding domain (RBD) across different geographic regions to inform the design and testing of therapeutics, (2) SNVs that may impact the sensitivity of commonly used diagnostic primers, and (3) the recent emergence of a dominant lineage harboring an S477N RBD mutation in Australia. To accelerate COVID-19 research and public health efforts, COVID-19 CG will be continually upgraded with new features for users to quickly and reliably pinpoint mutations as the virus evolves throughout the pandemic and in response to therapeutic and public health interventions.Single-cell RNA sequencing studies requiring intracellular protein staining, rare-cell sorting, or pathogen inactivation are severely limited because current high-throughput methods are incompatible with paraformaldehyde treatment, a very common and simple tissue/cell fixation and preservation technique. Here we present FD-seq, a high-throughput method for droplet-based RNA sequencing of paraformaldehyde-fixed, stained and sorted single-cells. We used FD-seq to address two important questions in virology. First, by analyzing a rare population of cells supporting lytic reactivation of the human tumor virus KSHV, we identified TMEM119 as a host factor that mediates reactivation. Second, we studied the transcriptome of lung cells infected with the coronavirus OC43, which causes the common cold and also serves as a safer model pathogen for SARS-CoV-2. We found that pro-inflammatory pathways are primarily upregulated in abortively-infected or uninfected bystander cells, which are exposed to the virus but fail to express high level of viral genes.