Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA232380 | ENA |
REPOSITORIES: ENA
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Project description:Rhinovirus (RV) is the most prevalent human respiratory virus. Each year, RV infects billions of people and is responsible for at least half of all common colds, the most common illness of humans. RV infection also affects the morbidity of a range of respiratory illnesses, such as bronchiolitis, pneumonia, asthma, chronic obstructive pulmonary disease, and cystic fibrosis. Despite its biological importance and public health significance, little is known about the genetic architecture of response to RV. To address this, we obtained genome-wide genotype and gene expression data in uninfected and RV-infected peripheral blood mononuclear cells (PBMCs) from 98 individuals. We characterized gene expression differences in response to RV infection and mapped expression quantitative trait loci (eQTLs) in both uninfected and RV-infected PBMCs. The study includes data from uninfected and rhinovirus-infected peripheral blood mononuclear cells (PBMCs) from 98 individuals. Twenty ml of blood was drawn from each participant. PBMCs were isolated from whole blood samples by Ficoll-Paque separation. From each subject, 4 million PBMCs were treated with media alone for 24 hours and 4 million PBMCs were treated with media containing RV16 for 24 hours. The multiplicity of infection was 10 plaque-forming units per cell. Total RNA was extracted after 24-hour incubation, using the RNeasy Plus Mini Kit; concentrations were measured on a Nanodrop ND-100 Spectrophotometer and quality was assessed using an Agilent 2100 Bioanalyzer. Genome wide gene expression profiling of uninfected and rhinovirus-infected PBMCs was obtained using Illumina HumanHT-12 v4 Expression BeadChip arrays at the University of Chicago Functional Genomics Core.
2015-04-14 | E-GEOD-53543 | biostudies-arrayexpress
Project description:Rhinovirus (RV) is the most prevalent human respiratory virus. Each year, RV infects billions of people and is responsible for at least half of all common colds, the most common illness of humans. RV infection also affects the morbidity of a range of respiratory illnesses, such as bronchiolitis, pneumonia, asthma, chronic obstructive pulmonary disease, and cystic fibrosis. Despite its biological importance and public health significance, little is known about the genetic architecture of response to RV. To address this, we obtained genome-wide genotype and gene expression data in uninfected and RV-infected peripheral blood mononuclear cells (PBMCs) from 98 individuals. We characterized gene expression differences in response to RV infection and mapped expression quantitative trait loci (eQTLs) in both uninfected and RV-infected PBMCs.
2015-04-14 | GSE53543 | GEO
Project description:Diagnosis of acute respiratory viral infection is currently based on clinical symptoms and pathogen detection. Use of host peripheral blood gene expression data to classify individuals with viral respiratory infection represents a novel means of infection diagnosis. We used microarrays to capture peripheral blood gene expression at baseline and time of peak symptoms in healthy volunteers infected intranasally with influenza A H3N2, respiratory syncytial virus or rhinovirus. We determined groups of coexpressed genes that accurately classified symptomatic versus asymptomatic individuals. We experimentally inoculated healthy volunteers with intranasal influenza, respiratory syncytial virus or rhinovirus. Symptoms were documented and peripheral blood samples drawn into PAXgene tubes for RNA isolation.
2009-08-06 | E-GEOD-17156 | biostudies-arrayexpress
Project description:This SuperSeries is composed of the following subset Series: GSE33387: NanoString miRNA profiling of peripheral blood mononuclear cells from HIV-1-infected elite suppressors, viremic patients, and uninfected control donors GSE33492: TaqMan Peripheral blood mononuclear cell miRNA profiles of HIV-1-infected elite suppressors, viremic patients, and uninfected control donors Refer to individual Series
2012-02-22 | E-GEOD-33617 | biostudies-arrayexpress
Project description:We carried out sex-balanced sampling of peripheral blood mononuclear cells (PBMCs) from confirmed COVID-19 inpatients (hospitalized) and outpatients (infected), uninfected close contacts (exposed), and healthy controls.
2021-04-15 | GSE171555 | GEO
Project description:Diagnosis of acute respiratory viral infection is currentlybased on clinical symptoms and pathogen detection. Use of host peripheral blood gene expression data to classify individuals with viral respiratory infection represents a novel means of infection diagnosis. We used microarrays to capture peripheral blood gene expression at baseline and time of peak symptoms in healthy volunteers infected intranasally with influenza A H3N2, respiratory syncytial virus or rhinovirus. We determined groups of coexpressed genes that accurately classified symptomatic versus asymptomatic individuals.
2009-08-06 | GSE17156 | GEO
Project description:Genome wide DNA methylation profiling of HIV-infected and uninfected individuals for DNA samples extracted from peripheral blood. The Illumina Infinium Human DNA methylation 450 Beadchip was used to obtain DNA methylation profiles across approximately 480,000 CpGs. Samples included 261 HIV-infected and 117 HIV-uninfected individuals. The goal was to identify genome-wide differentially methylated CpG sites between HIV-infected and uninfected samples. Bisulfite converted DNA from the 378 DNA samples were hybridized to the Illumina Infinium 450K Human Methylation Beadchip. The samples were extracted from whole blood. The subjects including 261 HIV-infected and 117 HIV-uninfected were recruited from the Veteran Aging Cohort Study. All subjects were inform consented and the study protocol was approved by Connecticut Veteran Affair Healthcare System IRB and Yale Human Research Protection Program at Yale University.
2017-02-09 | GSE77696 | GEO
Project description:Recently, several neutralizing anti-HIV antibodies have been isolated from memory B cells of HIV-infected individuals. However, despite extensive evidence of B-cell dysfunction in HIV disease, little is known about the cells from which these rare HIV-specific antibodies originate. Accordingly, HIV envelope gp140 and CD4 or co-receptor (CoR) binding site (bs) mutant probes were used to evaluate HIV-specific responses in the peripheral blood B cells of individuals at various stages of infection. In contrast to non-HIV responses, HIV-specific responses against gp140 were enriched within abnormal B cells, namely activated and exhausted memory subsets, which are largely absent in the blood of uninfected individuals. Responses against the CoRbs (a poorly-neutralizing epitope) arose early whereas those against the CD4bs (a well-characterized neutralizing epitope) were delayed and infrequent. Enrichment of the HIV-specific response within resting memory B cells, the predominant subset in uninfected individuals, did occur in certain infected individuals who maintained low levels of plasma viremia and immune activation with or without antiretroviral therapy. These findings were corroborated by transcriptional profiles. Taken together, our findings provide valuable insight into virus-specific B-cell responses in HIV infection and demonstrate that memory B-cell abnormalities may contribute to the ineffectiveness of the antibody response in infected individuals. HIV-specific responses against gp140 were enriched within abnormal B cells, namely activated (AM) and exhausted (tissue-like; TLM) memory subsets, which are largely absent in the blood of uninfected individuals. These responses are highest during the early stage of HIV infection, significantly decreased following the initiation of antiretroviral therapy (ART), and most importantly, enriched in normal resting memory B cells (RM) when HIV viremia and immune activation are controlled either naturally or as a result of ART. These HIV-specific B cells (AM and TLM) and resting memory B cells (RM) were sorted from peripheral blood mononuclear cells (PBMCs) of 6 HIV infected individuals. In addition, gp140-specific IgG+ B cells were sorted from individuals with either a strong (n= 6) or weak (n= 6) pro-resting memory profile. TaqMan gene expression assay was performed on these HIV-specific B cells and B cell subset. The array consisted of 29 genes.
2014-06-24 | E-GEOD-56499 | biostudies-arrayexpress
Project description:Human respiratory syncytial virus (HRSV) is the main cause of bronchiolitis during the first year of life, but other viruses such as rhinovirus also occur and are clinically indistinguishable. In hospitalized infants with bronchiolitis, the analysis of the peripheral blood mononuclear cells (PBMC) gene expression might be useful for identification the etiologies caused by HRSV and human rhinovirus (HRV) and to the development of future tests, as well as to elucidate the pathogenic mechanisms triggered by different viral agents and new therapeutic possibilities. In this study, we conducted a comparative global gene expression analysis of infants with acute viral bronchiolitis infected by HRSV (HRSV group) or HRV (HRV group).
2019-03-19 | GSE124124 | GEO
Project description:Purpose: To ensure that ABX464 acted specifically on HIV splicing and did not significantly or globally affect the splicing events of human genes, we used a high-throughput RNAseq approach. Many genome-wide expression studies of HIV infection are based on analyses of total peripheral blood mononuclear cells (PBMCs), which consist of over a dozen cell subsets, including T cells, B cells, NK cells and monocytes Methods: The CD4 T cells were uninfected or infected with the YU2 strain and were untreated or treated for 6 days with ABX464, followed by high-throughput RNAseq. Each raw dataset of the samples contained between 44 and 105 million single-end reads (50 bp), with an average of approximately 60 million raw reads per sample Results: Approximately 98% of the total raw reads were mapped to the human genome sequence (GRCh38), giving an average of 60 million human reads per sample for further analyses. The reads that were correctly mapped (approximately 98% of total input reads) to the gene and transcript locations (GTF annotation file) Conclusions: The MDS of our gene expression data showed, without any outliers, that the different donors segregated well and distributed into the DMSO (untreated) and ABX464 treatments that were infected or uninfected. The displayed variance was donor-dependent (clustered by donor) but treatment-independent (no data structure related to the different treatments), which suggests that the ABX464 molecule did not induce a major difference in CD4 T cell gene expression.
2018-06-22 | GSE116073 | GEO