Project description:The goal of this study was to determine changes in the expression of genes in monoctic myleoid derived suppressor cells (M-MDSC) as a result of SARS CoV2 infection. The study aimed to investigate if M-MDSC are functionally active and inhibit T cell function in response to SARS CoV2 antigens 5 months after first detection of the virus. Methods: Peripheral blood mononuclear cells (PBMC) were collected from CoV2 (-) and CoV2 (+) donors (N=5 each group). M-MDSC were isolated by flow cytometry, and RNA extracted for RNA-seq studies. Filtering low quality reads and removal of the 3’ adapter sequences were performed using the Trim Galore tool. Reads were mapped to the latest version of the human genome (build hg38) using HISAT2. Mapped reads were counted against the human GENCODE annotation (v37) using HT-Seq. The EdgeR library in the R computing environment was used for quality control of the RNA-Seq data, and ComBat-seq method for correction of batch effects. Differential gene expression analysis was conducted using EdgeR. Pathway enrichment analysis was performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) v6.8. Results: An average of 34 million reads per sample were acquired and mapped to the human genome (build hg38). After applying filtering criteria, 9,217 human genes were identified with the HISAT2 and HTSeq workflow. Differential expression analysis was performed between CoV2 (+) and CoV2 (-) samples using EdgeR. A total of 188 differentially expressed genes (DEGs) were identified with nominal p-value <0.05; of which 63 were up- and 125 downregulated in CoV2 (+) samples. A total of 12 DEGs were identified with false discovery rate corrected p-value <0.05, of which 2 were up- and 10 downregulated. Pathway enrichment analysis identified pathways involved in immune response and innate immune signaling. Conclusion: The study demonstrated that CoV2 infection modulated the expression of genes involved in immune response and innate immune signaling. Most of the genes remained downregulated even after 5 months of first detection of SARS CoV2.
Project description:This dataset looks at the transcriptome of in vitro-differentiated primary lung cells infected with SARS-CoV2. Some cells have been treated with the drug Enzalutamide.
Project description:RNA-Seq was carried out in order to obtain the time dependent expression dynamics of SARS-CoV2 (Trondheim strain)-induced transcriptome changes in human lung epithelial Calu-3 cells.
Project description:RNAseq analysis of human immune cells (monocytes CD14+ and B cells CD19+) cocultured with SARS-CoV2, influenza A or Ebola viruses-infected epithelial cells as well as directly infected or SARS-CoV2 single protein transfected epithelial cells
Project description:In this study a gene expression (i.e., RNAseq) analysis was performed in HEK293T-ACE2 cellular model upon infection with viral particle belonging to VOC Delta (MOI: 0.026) for 24 hours in order to have a global picture of the transcriptome landscape in response to early phase of infection of SARS-CoV-2 ( VOC Delta infection and to evaluate the role of Ca2+ in HEK293-ACE2 cellular model and transfer to homeostasis in SARS-COV-2 patients (by Pasqualino de Antonellis1-2* and Veronica Ferrucci 1-2* (first authors) et al. and Massimo Zollo1-2# (corresponding author). Manuscript in preparation 2022 July 15th 2022. Short title "ATP2B1 (PMCA1), regulated by FOXO3, influences susceptibility to severe COVID19".
Project description:On March 12, 2020, the World Health Organization (WHO) declared COVID-19 as a global pandemic. COVID-19 is produced by a novel β-coronavirus known as Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) [1]. Several studies have detected SARS-CoV-2 RNA in urine, feces, and other biofluids from both symptomatic and asymptomatic people with COVID-19 [2], suggesting that SARS-CoV-2 RNA could be detected in human wastewater [3]. Thus, wastewater-based epidemiology (WBE) is now used as an approach to monitor COVID-19 prevalence in many different places around the world [4-10] . Reverse transcription quantitative polymerase chain reaction (RT-qPCR) is the most common SARS-CoV-2 detection method in WBE, but there are other methods for viral biomolecule detection that could work as well. The aim of this study was to evaluate the presence of SARS-CoV-2 proteins in untreated wastewater (WW) influents collected from six wastewater treatment plants (WWTPs), from Durham Region, Ontario, Canada, using a LC-MS/MS-based proteomics approach. We identified many SARS-CoV-2 proteins in these wastewater samples, with peptides from pp1ab being the most consistently detected and with consistent abundance.
Project description:Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) causes coronavirus diseases 2019 (COVID-19) and broncho-alveolar inflammation (Merad and Martin, 2020). IL-9 induces airway inflammation and bronchial hyper responsiveness in respiratory viral illnesses and allergic inflammation (Temann et al., 1998). However, the role of IL-9 is not yet identified in SARS-CoV2 infection. Here we show that IL-9 promotes SARS-CoV2 infection and airway inflammation in K18-hACE2 transgenic (ACE2.Tg) mice, as IL-9 blockade reduces SARS-CoV2 infection and suppressed airway inflammation. Foxo1 is essential for the induction of IL-9 in helper T (Th) cells (Malik et al., 2017). While ACE2.Tg mice with Foxo1-deficiency in CD4+ T cells were performed to be resistant to SARS-CoV2 infection associated with reduced IL-9 production, exogenous IL-9 made Foxo1-deficient mice susceptible to SARS-CoV2 infection with increased airway inflammation. Collectively, we identify a mechanistic insight of IL-9-mediated regulation of antiviral and inflammatory pathways in SARS-CoV2 infection, and unravel a principle for the development of host-directed therapeutics to mitigate disease severity.