Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

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

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

PROVIDER: PRJNA750442 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR15279800_1.fastq.gz	Fastqsanger.gz
	SRR15279800_2.fastq.gz	Fastqsanger.gz
	SRR15279801_1.fastq.gz	Fastqsanger.gz
	SRR15279801_2.fastq.gz	Fastqsanger.gz
	SRR15279802_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 30

Similar Datasets

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

Convalescent COVID-19 Patients Without Comorbidities Display Similar Immunophenotypes Over Time Despite Divergent Disease Severities.

| S-EPMC8634761 | biostudies-literature

Bone marrow neutropoiesis bias underlies inflammatory comorbidities [smart_seq2]

Project description:Local chronic inflammation exacerbates the prevalence and severity of associated distal organ comorbidities, causing catastrophic consequences for patients. However, the underlying mechanisms remain unclear. Here, we found that periodontitis increased the circulating pro-inflammatory neutrophils, which could be easily recruited to rheumatoid arthritis (RA) joints and aggravated articular destruction. Single-cell multiomics sequencing has revealed that periodontitis induces transcriptomic and epigenomic rewiring of hematopoietic stem and progenitor cells (HSPCs), which display skewed differentiation toward the neutrophil lineage, resulting in an increase in pro-inflammatory neutrophils. We further identified that periodontitis-elevated type I interferons are responsible for guiding the continuous neutropoiesis bias in the bone marrow. Resolution of periodontitis can reverse the differentiation bias of HSPCs and alleviate the progression of RA. This study indicated that neutropoiesis bias induces the progression of inflammatory comorbidities and emphasizes the necessity of controlling local chronic inflammation in the management of inflammatory comorbidities.

2025-05-12 | GSE236479 | GEO

Bone marrow neutropoiesis bias underlies inflammatory comorbidities [multiomics]

2025-05-12 | GSE236476 | GEO

Bone marrow neutropoiesis bias underlies inflammatory comorbidities [RNA-Seq]

2025-05-12 | GSE236477 | GEO

Bone marrow neutropoiesis bias underlies inflammatory comorbidities

Project description:Bone marrow neutropoiesis bias underlies inflammatory comorbidities

| PRJNA991451 | ENA

Coronavirus antibody profiling in convalescent sera of RT-PCR SARS-CoV-2 confirmed hospitalised patients

Project description:Convalescent sera of RT-PCR SARS-CoV-2 confirmed hospitalised patients were tested on the protein array to profile IgG, IgM, and IgA antibody levels against human coronaviruses.

2022-03-08 | E-MTAB-11523 | biostudies-arrayexpress

Bone marrow neutropoiesis bias underlies inflammatory comorbidities [smart_seq2]

Project description:Bone marrow neutropoiesis bias underlies inflammatory comorbidities [smart_seq2]

| PRJNA991458 | ENA

Bone marrow neutropoiesis bias underlies inflammatory comorbidities [multiomics]

Project description:Bone marrow neutropoiesis bias underlies inflammatory comorbidities [multiomics]

| PRJNA991454 | ENA

Klinefelter syndrome comorbidities induced by increased X gene dosages and altered protein interactome activity

Project description:Klinefelter syndrome (KS) is the most common male chromosomal abnormality (47,XXY). Males with KS suffers from numerous comorbidities. Gene expression data integrated with other data types can increase the knowledge and clinically handling of KS males. Gene expression microarray from eight human Klinefelter syndrome patients (47,XXY) and eight human controls. The age of the Klinefelter syndrome patients varied, which was corrected for in the pre-processing as described in the paper and also in the 'normalization data transformation protocol' of this submission.

2017-03-23 | E-MTAB-4922 | 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