Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

8 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 CD8+ T cells acute and convalescent phase of EBV infection (10 subjects)

ORGANISM(S): Homo sapiens

SUBMITTER: Thomas Greenough

PROVIDER: E-GEOD-71045 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

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

2015-07-22 | GSE71045 | GEO

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

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

Whole blood RNA-seq of pediatric cases of natural Dengue infection

Project description:The primary aim of this study was to characterize the transcriptomic changes between the acute and convalescent phase of natural Dengue infections in pediatric patients as observed in peripheral blood samples.

2022-11-15 | GSE140809 | GEO

Whole blood RNA-seq of pediatric cases of natural Chikungunya infection

Project description:The primary aim of this study was to characterize the transcriptomic changes between the acute and convalescent phase of natural Chikungunya infections in pediatric patients as observed in peripheral blood samples.

2018-06-13 | GSE99992 | GEO

Functional reprogramming of monocytes in acute and convalescent severe COVID-19 patients [RNA-seq]

Project description:Severe COVID-19 disease is associated with dysregulation of the myeloid compartment during acute infection. Survivors frequently experience long-lasting sequelae but little is known about the eventual persistence of this immune alteration. Herein, we evaluated Toll-like receptor-induced cytokine responses in a cohort of mild to critical patients during acute or convalescent phases (n=97). In the acute phase, we observed impaired cytokine production by monocytes in the most severe patients. This capacity was globally restored in convalescent patients. Yet, we observed increased responsiveness to TLR1/2 ligation in patients that recovered from severe disease, indicating that these cells display distinct functional properties at the different stages of the disease. We identified a specific transcriptomic and epigenomic state in monocytes from acute severe patients that can account for their functional refractoriness. The molecular profile of monocytes from recovering patients was distinct and characterized by increased chromatin accessibility at AP-1 and MAF loci. These results demonstrate that severe COVID-19 infection has a profound impact on the differentiation status and function of circulating monocytes both during the acute and the convalescent phases in a completely distinct manner. This could have important implications for our understanding of short and long-term COVID19-related morbidity.

2022-04-01 | GSE198256 | GEO

Functional reprogramming of monocytes in acute and convalescent severe COVID-19 patients [ATAC-seq]

2022-04-01 | GSE198255 | GEO

Multiple Early Factors Anticipate Post-Acute COVID-19 Sequelae

Project description:Post-acute sequelae of COVID-19 (PASC) represent an emerging global crisis. However, quantifiable risk-factors for PASC and their biological associations are poorly resolved. We executed a deep multi-omic, longitudinal investigation of 309 COVID-19 patients from initial diagnosis to convalescence (2-3 months later), integrated with clinical data, and patient-reported symptoms. We resolved four PASC-anticipating risk factors at the time of initial COVID-19 diagnosis: type 2 diabetes, SARS-CoV-2 RNAemia, Epstein-Barr virus viremia, and specific autoantibodies. In patients with gastrointestinal PASC, SARS-CoV-2-specific and CMV-specific CD8+ T cells exhibited unique dynamics during recovery from COVID-19. Analysis of symptom-associated immunological signatures revealed coordinated immunity polarization into four endotypes exhibiting divergent acute severity and PASC. We find that immunological associations between PASC factors diminish over time leading to distinct convalescent immune states. Detectability of most PASC factors at COVID-19 diagnosis emphasizes the importance of early disease measurements for understanding emergent chronic conditions and suggests PASC treatment strategies.

2022-02-01 | E-MTAB-10129 | biostudies-arrayexpress

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

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data