Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression of CD8+ T cells isolated from human subjects during acute and convalescent phase of EBV infection

ABSTRACT: Affymetrix HuGene ST 1.0 microarrays were used to study and compare gene expression in peripheral blood CD8+ T cells of human patients with Acute Infectious Mononucleosis (AIM; acute EBV infection) and during convalescence (CONV; 6-12 months after AIM visit). Blood samples were drawn from ten human patients with AIM and again during their covalescence (CONV). Peripheral blood mononuclear cells were isolated and cryopreserved. Paired AIM and CONV samples were thawed and CD8+ T cells purified with magnetic beads. RNA was isolated and processed for hybridization according to the Affymetrix protocol

ORGANISM(S): Homo sapiens

PROVIDER: GSE71045 | GEO | 2015/07/22

SECONDARY ACCESSION(S): PRJNA290468

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Gene expression of CD8+ T cells isolated from human subjects during acute and convalescent phase of EBV infection

Project description:Affymetrix HuGene ST 1.0 microarrays were used to study and compare gene expression in peripheral blood CD8+ T cells of human patients with Acute Infectious Mononucleosis (AIM; acute EBV infection) and during convalescence (CONV; 6-12 months after AIM visit). Blood samples were drawn from ten human patients with AIM and again during their covalescence (CONV). Peripheral blood mononuclear cells were isolated and cryopreserved. Paired AIM and CONV samples were thawed and CD8+ T cells purified with magnetic beads. RNA was isolated and processed for hybridization according to the Affymetrix protocol CD8+ T cells acute and convalescent phase of EBV infection (10 subjects)

2015-07-22 | E-GEOD-71045 | biostudies-arrayexpress

Genome-wide mapping of H3K4me3 and H3K27ac in monocytes from SARS-CoV-2 convalescent patients.

Project description:Epigenetic alterations of monocytes from COVID-19 convalescent individuals and healthy controls have been analyzed by mapping trimethylated H3K4 (H3K4me3) and acetylated H3K27 (H3K27ac) genome-wide using CUT&RUN (Skene & Henikoff, 2017). Epigenetic reprogramming of myeloid cells represents a hallmark of trained innate immunity (Netea, Joosten et al., 2016). In general, active enhancers are marked by H3K27ac and transcription start sites are marked by H3K4me3 and H3K27ac (Kimura, 2013). A global analysis of histone modifications associated with transcription start sites (TSS) revealed a difference in the overall coverage of specific loci in SC-conv versus SC-naïve cells with SC-conv samples showing lower occupancy overall

2021-06-07 | GSE173568 | GEO

Homo sapiens

Project description:Microenvironment Cell Populations Affymetrix HuGene 1.0ST

| PRJNA341516 | ENA

Genome wide-DNA methylation analysis of articular chondrocytes reveals a cluster of osteoarthritic patients (gene expression)

Project description:The aim of this study is to identify, for the first time, the genome-wide DNA methylation profiles of human articular chondrocytes from OA and healtly cartilage samples. A subsequent validation of methylation profiles were performed in an idependent cohort of OA samples with Affymetrix Hugene 1.1 st array This represents the gene expression component of the study only

2013-04-01 | GSE43191 | GEO

Gene Expression during Panobinostat Dosing

Project description:A clinical study evaluating the dosing of an oral HDACi panobinostat in patient infected with HIV-1. Dosing was 20 mg orally, 3 times weekly, every other week for a total of 8 weeks. Gene expression was evaluated in whole PBMCs at baseline (Visit 2), after 3 doses (Visit 4), 4 weeks after dosing (Visit 12) and 6 months after dosing (Visit 13) using the Affymetrix HTA 2.0 gene expression chip

2018-01-30 | GSE109792 | GEO

Whole transcriptome profiling reveals major cell types in the cellular immune response against acute and chronic active Epstein-Barr virus infection

Project description:Epstein–Barr virus (EBV) is a common human pathogen that infects over 95% of the population worldwide. In the present study, the whole transcriptome microarray data were generated from peripheral blood mononuclear cells from Chinese children with acute infectious mononucleosis (AIM) and chronic active EBV infection (CAEBV) that were also compared with a publicly available microarray dataset from a study of American college students with AIM. Our study characterized for the first time a broad spectrum of molecular signatures in AIM and CAEBV. The key findings from the transcriptome profiling were validated with qPCR and flow cytometry assays. The most important finding in our study is the discovery of predominant γδ TCR expression and γδ T cell expansion in AIM. This finding, in combination with the striking up-regulation of CD3, CD8 and CD94, suggests that CD8+ T cells and CD94+ NK cells may play a major role in AIM. Moreover, the unique up-regulation of CD64A/B and its significant correlation with the monocyte marker CD14 was observed in CAEBV and that implies an important role of monocytes in CAEBV. In conclusion, our study reveals major cell types (particularly γδ T cells) in the host cellular immune response against AIM and CAEBV.

2017-12-20 | GSE85599 | GEO

Convalescent COVID-19 patients without comorbidities display similar immunophenotypes over time despite divergent disease severities

Project description:COVID-19, the disease caused by SARS-CoV-2 infection, can assume a highly variable disease course, ranging from asymptomatic infection, which constitutes the majority of cases, to severe respiratory failure. This implies a diverse host immune response to SARS-CoV-2. However, the immunological underpinnings underlying these divergent disease courses remain elusive. We therefore set out to longitudinally characterize immune signatures of convalescent COVID-19 patients stratified according to their disease severity. Our unique convalescent COVID-19 cohort consists of 74 patients not confounded by comorbidities. This is the first study of which we are aware that excludes immune abrogations associated with non-SARS-CoV-2 related risk factors of disease severity. Patients were followed up and analyzed longitudinally (2, 4 and 6 weeks after infection) by high-dimensional flow cytometric profiling of peripheral blood mononuclear cells (PBMCs), in-depth serum analytics, and transcriptomics. Immune phenotypes were correlated to disease severity. Convalescence was overall associated with uniform immune signatures, but distinct immune signatures for mildly versus severely affected patients were detectable within a 2-week time window after infection.

2021-07-30 | GSE181032 | GEO

Fas- and DR3-dependent transcriptome changes in naïve T-cells from EBV carrier during and after acute mononucleosis

Project description:EBV-encoded proteins interfere with extrinsic and intrinsic apoptotic pathways so that homeostasis of infected cells shifts to survival and proliferation favoring to evasion of virus from immune surveillance.The aim of investigation is to reveal the key factors regulating Fas- и DR3-triggered cascades influenced by EBV in naïve T-cells. We developed the splicing-sensitive microarray covering 221 genes encoding apoptosis-associated factors, adaptor proteins, kinases, RNA-binding proteins (including spliceosome elements) etc. Naïve CD4+ and CD8+ T-cells isolated from the same EBV-infected patient during acute mononucleosis and after therapy were analyzed.

2017-02-22 | GSE95126 | GEO

Kenyan malaria patient Experiment

Project description:Gene expression data from whole-blood collected from Kenyan children with Plasmodium falciparum malaria infection at acute hospital admission (n=15) and at convalescence (n=9). A clinical history design type is where the organisms clinical history of diagnosis, treatments, e.g. vaccinations, surgery etc. Disease State: with Plasmodium falciparum malaria infection at acute hospital admission and at convalescence clinical_history_design

2016-02-15 | E-GEOD-35860 | biostudies-arrayexpress

Kenyan malaria patient Experiment

2016-02-15 | GSE35860 | GEO