Project description:Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) and other respiratory viruses -Coronavirus OC43, Coronavirus 229E, Influenza A/H1N1, Influenza A/H3N2, Influenza B, Respiratory Syncytial Virus RSV A and RSV B - were analysed by bottom-up proteomics of viral cultures. High coverage of viral proteins was acheived after culturing in serum-free conditions when compared to cultures grown using standard conditions including 2% fetal bovine serum.
Project description:Diagnosis of influenza A infection is currently based on clinical symptoms and pathogen detection. Use of host peripheral blood gene expression data to classify individuals with influenza A virus infection represents a novel approach to infection diagnosis We used microarrays to assay peripheral blood gene expression at baseline and every 8 hours for 7 days following intranasal influenza A H1N1 or H3N2 inoculation in healthy volunteers. We determined groups of coexpressed genes that classified symptomatic influenza infection. We then tested this gene expression classifier in patients with naturally acquired respiratory illness. We experimentally inoculated healthy volunteers with intranasal influenza A H1N1 and H3N2. Symptoms were documented and peripheral blood samples drawn into PAXgene RNA tubes for RNA isolation. We further enrolled patients presenting to the Emergency Department with naturally acquired respiratory illness, and documented symptoms and collected PAXgene RNA samples for RNA isolation.
Project description:The initial project of the data of origin is described in Ouwendijk, et al. (2020). Analysis of Virus and Host Proteomes During Productive HSV-1 and VZV Infection in Human Epithelial Cells. Frontiers in Microbiology, 11, 1179. https://doi.org/10.3389/fmicb.2020.01179. To increase the number of virus species that can be detected we developed a shotgun proteomics based approach, which was applied to viral samples, after which the identified peptides were searched for in a database equipped with proteomic data of 46 viruses, known to be infectious to humans, using a web application (‘proteome2virus.com’). To validate proteome2virus application (proteome2virus.com) data of cultured and clinical samples was generated. The method has been successfully tested against cultured viruses and 8 clinical fecales samples of 10 different viral species from 7 different virus families, including SARS-CoV-2, Betacoronavirus OC43, human coronavirus 229E, human orthopneumovirus (RSV A and RSV B), human metapneumovirus, Influenza A (H1N1 and H3N2), mamastrovirus 1, Norwalk virus, Rotavirus A and human mastadenovirus F, representing 7 different virus families. The samples were prepared with two different sample preparation methods and were measured on two different mass spectrometers. Results demonstrated that the developed data analysis pipeline is applicable to different MS data sets generated on 2 different instruments and that it this approach identifies a high variety of clinically relevant viral species. This emphasizes the potential and feasibility for the diagnosis of a wide range of viruses in clinical samples with a single shotgun proteomics analysis.
Project description:Diagnosis of influenza A infection is currently based on clinical symptoms and pathogen detection. Use of host peripheral blood gene expression data to classify individuals with influenza A virus infection represents a novel approach to infection diagnosis We used microarrays to assay peripheral blood gene expression at baseline and every 8 hours for 7 days following intranasal influenza A H1N1 or H3N2 inoculation in healthy volunteers. We determined groups of coexpressed genes that classified symptomatic influenza infection. We then tested this gene expression classifier in patients with naturally acquired respiratory illness.
Project description:<p>The overall purpose of this study is to investigate the host genetic factors in response to influenza virus infection, with the focus on influenza vaccination in the first substudy "Adult Influenza Vaccine Genetics" and with the focus on influenza natural infection and other acute respiratory infections (ARIs) in the second substudy "Acute Viral Respiratory Infection Genetics". In the first substudy, healthy adults were enrolled in 2008 (male cohort) and 2010 (female cohort) and immunized with seasonal influenza vaccine. In the second substudy, healthy adults were invited to enroll to be followed for acute respiratory illness through two consecutive influenza seasons 2009-2010 and 2010-2011. Peripheral blood genomic DNA samples were collected from all the subjects, and time-series RNA and serum samples were obtained pre- and post- immunization/infection. Genotyping was carried out on peripheral blood genomic DNA samples using Illumina HumanOmniExpress-12 v1 arrays. Peripheral blood RNA samples obtained at each visit were analyzed using Illumina Human HT-12 (for all the samples) and HiSeq 2000 (for 130 samples in the "Acute Viral Respiratory Infection Genetics" study). Serum specimens were tested using hemagglutination-inhibition (HAI) antibody assay for Influenza H1N1, H3N2, and Influenza B strains.</p> <p>A detailed description of each substudy is provided under their own pages below and via the grouping tool in the right-hand box: <ul> <li><a href="./study.cgi?study_id=phs000635">phs000635</a> Adult Influenza Vaccine Genetics</li> <li><a href="./study.cgi?study_id=phs001031">phs001031</a> Acute Viral Respiratory Infection Genetics</li> </ul> </p>
Project description:Respiratory syncytial virus (RSV) is a prevalent pathogen globally, can cause severe disease in older adults, and remains the leading cause of bronchiolitis and pneumonia in the United States for children during their first year of life. Despite its prevalence worldwide, RSV specific pharmacologic interventions remain unavailable for most infected patients. Although vaccines are available for a subset of adults, further investigation of the molecular interactions between RSV and the host remains essential to understanding this prolific pathogen. To aid our understanding of the host response in both RSV infected cells, and uninfected bystanders, we utilized single-cell RNA sequencing.
Project description:The purpose of the study was to assess the patterns of global gene expression in peripheral blood cells and uncover the complex dynamics of host response to ARIs such as pandemic H1N1. To understand the molecular bases and network orchestration of host responses, we prospectively enrolled 1610 healthy adults in the fall of 2009 and 2010, followed the subjects with influenza-like illness (N=133) for 3 weeks, and examined changes in their peripheral blood gene expression. We discovered distinct phases of the host response spanning 6 days after infection, and identified genes that differentiate influenza from non-influenza virus infection. We examined pre- and post-infection anti-influenza antibody titers defining novel gene expression correlates. Healthy adults were invited to enroll to be followed for acute respiratory illness (ARI) through two consecutive influenza seasons 2009-2010 and 2010-2011. After subjects provided consent, baseline blood specimens were obtained during enrollment. Subjects were given thermometers and instructions to call and report for evaluation within 48 hours of ARI onset. Those persons who had a new ARI were seen within 48 hours of onset (day 0) and 2, 4, and 6 days later for repeat evaluation, blood specimen collections, and medical care (including the antiviral zanamivir if indicated) and 21 days later for collection of convalescent specimens. Nasal wash samples were collected for virus detection by RT-PCR on day 0 and day 2. Surveillance for influenza was terminated after 5.5 months; all subjects were asked to return for specimen collection and to provide a medical and ARI history in spring of next year. Serum specimens obtained at baseline, day 0 and day 21 visits for illnesses, and the terminal visit were tested simultaneously using hemagglutination-inhibition (HAI) antibody assay for Influenza H1N1, H3N2, and Influenza B strains. Peripheral blood RNA (PaxGene) obtained from blood specimens at each visit were analyzed using Illumina Human HT-12 v4. The study was repeated 2010-2011. A total of 880 arrays, corresponding to 133 individuals, passed quality control and are included in this data set.