Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: BCR repertoire sequencing from COVID-19 patients

PROVIDER: PRJNA638224 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR11961710_1.fastq.gz	Fastqsanger.gz
	SRR11961710_2.fastq.gz	Fastqsanger.gz
	SRR11961711_1.fastq.gz	Fastqsanger.gz
	SRR11961711_2.fastq.gz	Fastqsanger.gz
	SRR11961712_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 38

Similar Datasets

BCR, not TCR, repertoire diversity is associated with favorable COVID-19 [TCR-Seq]

Project description:The SARS-CoV-2 pandemic has had a widespread and severe impact on society, yet there have also been instances of remarkable recovery, even in critically ill patients. In this study, we used single-cell RNA sequencing to analyze the immune responses in recovered and deceased COVID-19 patients during moderate and critical stages. The study included three unvaccinated patients from each outcome category. Although expanded T cell receptor (TCR) clones were predominantly SARS-CoV-2-specific, they represented only a small fraction of the total repertoire in all patients. In contrast, while deceased patients exhibited monoclonal B cell receptor (BCR) expansions without COVID-19 specificity, survivors demonstrated diverse and specific BCR clones. These findings suggest that neither TCR diversity nor BCR monoclonal expansions are sufficient for viral clearance and subsequent recovery. Differential gene expression analysis revealed that protein biosynthetic processes were enriched in survivors, but that potentially damaging mitochondrial ATP metabolism was activated in the deceased. This study underscores that BCR repertoire diversity, but not TCR diversity, correlates with favorable outcomes in COVID-19.

2024-11-26 | GSE267639 | GEO

BCR, not TCR, repertoire diversity is associated with favorable COVID-19 [GEX]

2024-11-26 | GSE267645 | GEO

BCR, not TCR, repertoire diversity is associated with favorable COVID-19 [BCR-Seq]

2024-11-26 | GSE267642 | GEO

A single-cell atlas of lymphocyte adaptive immune repertoires and transcriptomes reveals age-related differences in convalescent COVID-19 patients

Project description:We utilize single-cell sequencing (scSeq) of lymphocyte immune repertoires and transcriptomes to quantitatively profile the adaptive immune response in COVID-19 patients of varying age. Our scSeq analysis defines the adaptive immune repertoire and transcriptome in convalescent COVID-19 patients and shows important age-related differences implicated in immunity against SARS-CoV-2.

2021-03-20 | E-MTAB-10169 | biostudies-arrayexpress

In severe COVID-19, SARS-CoV-2 induces a chronic, TGF-β-dominated adaptive immune response (Bronchoalveolar lavage)

Project description:Single cell transcriptome, TCR and BCR sequencing of FACS-sorted CD45+ cells of the bronchoalveolar lavages of COVID-19 ICU patients

2021-02-09 | GSE158037 | GEO

Characterization of B-cell receptor repertoire associated with asymptomatic and symptomatic infections of SARS-CoV-2

Project description:The immune responses to SARS-CoV-2 infections are very complex and remain to be further characterized. In this study, we performed the single-cell B-cell receptor (BCR) sequencing (scBCR-seq) of the PBMC samples from the healthy controls and SARS-CoV-2 infected individuals with various clinical presentations, and subsequently analyzed the abundance, diversity and difference of BCR repertoire in different groups of COVID-19 patients and the healthy controls, respectively. We identified a number of unique heavy or light chain VDJ genes pairs and combinational preference in each group, such as IGKV3-7 enriched in the asymptomatic subjects, whereas IGHV3-23-IGHJ4, IGHV1-18–IGLV3-19, IGHV1-18–IGLV3-21, and IGHV1-1–IGLV3-25 enriched in the recovery patients from the severe diseases. These findings may advance our understanding of the B-cell mediated immune responses to SARS-CoV-2 infections and help develop novel vaccine candidates and therapeutic antibodies against COVID-19.

2022-09-15 | GSE180118 | GEO

In severe COVID-19, SARS-CoV-2 induces a chronic, TGF-β-dominated adaptive immune response (Activated B cells, Set 2)

Project description:Single cell transcriptome and BCR sequencing of FACS-sorted activated B cells of the peripheral blood of COVID-19 ICU patients and healthy controls

2021-02-09 | GSE158034 | GEO

In severe COVID-19, SARS-CoV-2 induces a chronic, TGF-β-dominated adaptive immune response (Activated B cells, set 1)

Project description:Single cell transcriptome and BCR sequencing of FACS-sorted activated B cells of the peripheral blood of COVID-19 ICU patients and healthy controls

2021-02-09 | GSE158030 | GEO

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

Human gut microbiota, COVID-19 patients with mild or severe symptoms.

Project description:Analysis of COVID-19 hospitalized patients, with different kind of symptoms, by human rectal swabs collection and 16S sequencing approach.

2022-09-22 | E-MTAB-12236 | 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