Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single-nucleus ATAC-seq in PBMCs with COVID-19

ABSTRACT: single-nucleus ATAC-seq in PBMCs with COVID-19

PROVIDER: PRJNA906138 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR22434639_1.fastq.gz	Fastqsanger.gz
	SRR22434639_2.fastq.gz	Fastqsanger.gz
	SRR22434640_1.fastq.gz	Fastqsanger.gz
	SRR22434640_2.fastq.gz	Fastqsanger.gz
	SRR22434641_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 16

Similar Datasets

single-nucleus ATAC-seq in PBMCs with COVID-19

Project description:PBMCs were extracted from 8 donors (an influenza, 2 mild and 2 severe COVID-19 patients, 3 healthy donors). Datasets generated by single-cell ATAC sequencing platform from 10X genomics. The library was generated by single-cell ATAC kit v1.1 following manufacturer's instructions.

2022-12-15 | GSE218918 | GEO

Single cell transcriptomics of PBMCs during severe COVID-19

Project description:Single-cell RNA-seq analysis of PBMCs during COVID-19

2022-01-27 | GSE192391 | GEO

Transcriptome analysis of PBMCs reveals distinct immune response in the asymptomatic and re-detectable positive COVID-19 patients

Project description:The existence of asymptomatic and re-detectable positive COVID-19 patients presents the disease control challenges of COVID-19. Most studies on immune response of COVID-19 have focused on the moderately or severely symptomatic patients, however little is known about the immune response in asymptomatic and re-detectable positive patients. Here we performed a comprehensive analysis of the transcriptomic profiles of PBMCs from 48 COVID-19 patients.

2021-07-27 | GSE179627 | GEO

Immunophenotyping of COVID-19 and Influenza Underscores the Association of Type I IFN Response in Severe COVID-19

Project description:Although most SARS-CoV-2-infected individuals experience mild COVID-19, some patients suffer from severe COVID-19, which is accompanied by acute respiratory distress syndrome and systemic inflammation. To identify factors driving severe progression of COVID-19, we performed single-cell RNA-seq using peripheral blood mononuclear cells (PBMCs) obtained from healthy donors, patients with mild or severe COVID-19, and patients with severe influenza. Patients with COVID-19 exhibited hyper-inflammatory signatures across all types of cells among PBMCs, particularly upregulation of the TNF/IL-1beta-driven inflammatory response as compared to severe influenza. In classical monocytes from patients with severe COVID-19, type I IFN response co-existed with the TNF/IL-1beta-driven inflammation, and this was not seen in patients with milder COVID-19 infection. Based on this, we propose that the type I IFN response exacerbates inflammation in patients with severe COVID-19 infection.

2020-07-06 | GSE149689 | GEO

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

Single cell transcriptomics of PBMCs during severe COVID-19

Project description:Single cell transcriptomics of PBMCs during severe COVID-19

| PRJNA791326 | ENA

Effects of Dexamethasone in COVID-19 patients

Project description:Dexamethasone improves the survival of COVID-19 patients in need of supplemental oxygen therapy. Hospitalized COVID-19 patients eligible for dexamethasone therapy were recruited from the general care ward in several centers in Greece and the Netherlands and whole blood transcriptomic analysis was performed before and after starting dexamethasone treatment. Peripheral blood mononuclear cells (PBMCs) were isolated from healthy individuals and COVID-19 patients and stimulated with inactivated SARS-CoV-2 ex vivo in the presence or absence of dexamethasone and their transcriptome was assessed.

2023-07-26 | GSE227585 | 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

Single-cell RNA sequencing of PBMCs sampled from COVID-19 patients

Project description:To explore the underlying mechanism of recurrent SARS-CoV-2 infection in convalescent patients. We performed single-cell RNA sequencing on peripheral blood mononuclear cells isolated from a recurrent patient, taking 14 recovered COVID-19 patients and 4 dead COVID-19 patients as controls.

2022-04-22 | GSE165182 | GEO

Clinical and immunological signatures of severe COVID-19 in previously healthy patients with clonal hematopoiesis

Project description:Many clinical risk factors for severe COVID-19, such as diabetes, hypertension, and high body mass index have been reported. However, searching for additional risk factors should be continued to predict the progression of severe COVID-19 more accurately. We suppose that clonal hematopoiesis of indeterminate potential (CHIP) can also be regarded as one of risk factors. To identify the influence of CHIP in COVID-19 pathogenesis, we performed single-cell RNA-seq using peripheral blood mononuclear cells (PBMCs) obtained from severe COVID-19 patient with CHIP and integrate the data with other published COVID-19 scRNA seq data (GSE149689). After clustering and annotating cell types, we compare the expression profiles between CHIP vs non-CHIP COVID-19 severe patient.

2022-10-19 | GSE182123 | GEO

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