Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNAseq analysis of human CD4+ regulatory Tregs and Tconvs in COVID-19 and healthy donors isolated from peripheral blood.

ABSTRACT: RNAseq analysis of human CD4+ regulatory Tregs and Tconvs in COVID-19 and healthy donors isolated from peripheral blood.

PROVIDER: PRJNA743862 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR15042704_1.fastq.gz	Fastqsanger.gz
	SRR15042704_2.fastq.gz	Fastqsanger.gz
	SRR15042705_1.fastq.gz	Fastqsanger.gz
	SRR15042705_2.fastq.gz	Fastqsanger.gz
	SRR15042706_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 172

Similar Datasets

RNAseq analysis of human CD4+ regulatory Tregs and Tconvs in COVID-19 and healthy donors isolated from peripheral blood.

Project description:RNAseq analysis of human CD4+ regulatory Tregs and Tconvs in COVID-19 and healthy donors isolated from peripheral blood.

2021-07-07 | GSE179448 | GEO

RNAseq analysis of human CD4+ regulatory Tregs and Tconvs in IPEX and healthy donors isolated from peripheral blood.

Project description:RNAseq analysis of human CD4+ regulatory Tregs and Tconvs in IPEX and healthy donors isolated from peripheral blood.

2021-02-18 | GSE166866 | GEO

Whole blood transciptome analysis in severe Covid-19 patients and healthy donors

Project description:The identification of COVID-19 patients with high-risk of severe disease is a challenge in routine care. We performed blood RNA-seq gene expression analyses in severe hospitalized patients compared to healthy donors. Supervised and unsupervised analyses revealed a high abundance of CD177, a specific neutrophil activation marker, contributing to the clustering of severe patients. Gene abundance correlated with high serum levels of CD177 in severe patients. These results highlight neutrophil activation as a hallmark of severe disease and CD177 assessment as a reliable prognostic marker for routine care.

2021-05-27 | GSE171110 | GEO

Spatial transcriptomics of post-mortem lung tissue from COVID-19 donors

Project description:Visualization of gene expression in lung tissue was performed using Visium spatial gene expression kits (10x Genomics) following the manufacturer`s protocol. The four capture areas in a 10x Genomics Visium Gene Expression slide consist of 5000 spots with DNA oligos for mRNA capture that have a unique spatial barcode and a unique Molecular Identifier (UMI). Each spot has 55 µm diameter and can therefore capture mRNA from 1 to 10 cells. We report the spatially resolved transcriptome of 3 control lung samples from non-COVID-19-related pneumonia donors and 9 COVID-19 lung samples analyzed with the 10x Visium platform.

2022-12-21 | GSE190732 | GEO

Whole blood transciptome analysis in severe Covid-19 patients and healthy donors

Project description:Whole blood transciptome analysis in severe Covid-19 patients and healthy donors

| PRJNA718349 | ENA

Multi-omic analysis resolves coordinated immune responses to mild, moderate and severe COVID-19

Project description:This study utilizes multi-omic biological data to perform deep immunophenotyping on the major immune cell classes in COVID-19 patients. 10X Genomics Chromium Single Cell Kits were used with Biolegend TotalSeq-C human antibodies to gather single-cell transcriptomic, surface protein, and TCR/BCR sequence information from 254 COVID-19 blood draws (a draw near diagnosis (-BL) and a draw a few days later (-AC)) and 16 healthy donors.

2020-10-29 | E-MTAB-9357 | biostudies-arrayexpress

RNAseq analysis of human CD4+ regulatory Tregs and Tconvs in IPEX and healthy donors isolated from peripheral blood.

Project description:RNAseq analysis of human CD4+ regulatory Tregs and Tconvs in IPEX and healthy donors isolated from peripheral blood.

| PRJNA702146 | ENA

Gene expression profile of peripheral blood mononuclear cells from mild and severe COVID-19 patients, severely ill COVID-19 patients treated with dexamethasone and healthy controls

Project description:The objective of this experiment was to compare the transcriptomic profile (NanoString platform) of peripheral blood mononuclear cells (PBMCs) from COVID-19 patients with mild disease, and patients with severe COVID-19 with and without dexamethasone treatment, and healthy controls. We analyzed PBMCs from 4 mild COVID patients, 3 severe COVID patients,4 severe COVID patients treated with dexamethasone, and 5 healthy controls

2023-03-23 | GSE227341 | GEO

Deciphering the molecular immune response to COVID-19 using single cell multi-omics

Project description:Multi-omics single-cell profiling of surface proteins, gene expression and lymphocyte immune receptors from hospitalised COVID-19 patient peripheral blood immune cells and healthy controls donors. Identification of the coordinated immune cell compositional and state changes in response to SARS-CoV-2 infection or LPS challenge, compared to healthy control immune cells.

2021-03-17 | E-MTAB-10026 | biostudies-arrayexpress

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

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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