Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

CD16 and CD57 Expressing Gamma Delta T Cells in Acute HIV-1 Infection are Associated with the Development of Neutralization Breadth

ABSTRACT: CD16 and CD57 Expressing Gamma Delta T Cells in Acute HIV-1 Infection are Associated with the Development of Neutralization Breadth

PROVIDER: PRJNA1131432 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR29701900_1.fastq.gz	Fastqsanger.gz
	SRR29701900_2.fastq.gz	Fastqsanger.gz
	SRR29701901_1.fastq.gz	Fastqsanger.gz
	SRR29701901_2.fastq.gz	Fastqsanger.gz
	SRR29701902_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 164

Similar Datasets

CD16 and CD57 Expressing Gamma Delta T Cells in Acute HIV-1 Infection are Associated with the Development of Neutralization Breadth

Project description:New HIV vaccine approaches are focused on eliciting broadly neutralizing antibodies. We characterized early gamma-delta (γδ) T cell responses starting from pre-acquisition and during acute HIV infection (AHI) in participants previously characterized for neutralization breadth development. We found significant differences in γδ T cell surface marker expression in participants that developed neutralization breadth compared to those that did not. Activation of γδ T cells occurred within the first weeks of HIV acquisition and associated with viral load. Expression of CD16 on Vδ1 T cells and CD57 on Vδ2 T cells were found to be significantly higher in broad neutralizers during AHI, and associated with the development of neutralization breadth years later. In addition, the levels of CD16 on Vδ1 T cells was associated with early production of founder virus Env-specific IgM. Thus, γδ T cells may promote development of neutralization breadth, which has implications for HIV vaccine strategies.

2024-07-03 | GSE271442 | GEO

CD16 and CD57 expressing gamma delta T cells in acute HIV-1 infection are associated with the development of neutralization breadth.

| S-EPMC11805418 | biostudies-literature

Characterization of CD57+PD1- CD4 T cells

2016-01-08 | GSE64805 | GEO

Characterization of CD57+PD1- CD4 T cells

Project description:We have identified a CD57+PD1- CD4 T cell phenotype at the time of transplantation that strongly correlates with subsequesnt development of belatacept-resistant rejection. In this study, we used microarray to determine which genes were upregulated in CD57+ compared to CD57- CD4 T cells. Peripheral blood obtained from 5 healthy controls was processed and sorted into CD4+CD57+PD1- and CD4+CD57-PD1- populations. Total RNA was extracted from the sorted populations and quality assessed. cDNA synthesis and amplification was performed, and fragmented and biotinylated samples were hybridized to the Affymetrix Human U133 plus 2.0 probe array. The arrays were scanned and probe intensity measurements were normalized across the samples using the robust multichip average (RMA) algorithm.

2016-01-08 | E-GEOD-64805 | biostudies-arrayexpress

Transcriptional profiling of CD45RO+CD57+CD4+ T cells

Project description:RNA-seq data to examine transcriptiome of CD57+ versus CD57- memory CD4+ T cells

2019-07-20 | GSE134536 | GEO

Single-cell RNA-sequencing of blood and tonsillar CD4+ CD57+ and CD57- T cells

Project description:Gene-environment interactions are implicated in immunopathology, but few specific mechanisms have been identified. We defined two terminal-differentiation pathways for human CD4+ T cells each marked by CD57. Rare blood CD57+ CD4+ T cells marked by TCF1 downregulation (Thcyt) adopt a cytotoxic and terminal-effector transcriptome. By contrast, human CD57+ GC-Tfh cells exhibit a transcriptome of the precursor exhausted T cells marked by TCF7, TOX and ID3 and constitutive expression of CTLA4, which collectively confer resistance to becoming cytotoxic. By clarifying human CD4+ T cell terminal differentiation, we have revealed how CTLA4 mitigates the risk of maladaptive cytotoxicity during infection.

2023-04-27 | GSE200257 | GEO

RNA sequencing of CD57+ and CD57- effector memory CD8 T cells in patients with type 1 diabetes

Project description:Type 1 diabetes is an autoimmune disease in which insulin-secreting β cells of the pancreatic islets are selectively destroyed. CD8 T cells are regarded as critical players in mediating β cell destruction and as a result, considerable effort has been expended to define CD8 T cell behaviour in this disease. The overarching aim of the experiment is to characterize a recently identified autoreactive CD57-positive CD8 T cell subset which is associated with loss of function of islet beta cells in type 1 diabetes, to compare the phenotype of the CD57-positive effector memory CD8 T cells versus the CD57-negative compartment, and provide an insight into the function of these cells in the disease process. To that aim, HLA-A*24 positive patients with T1D -within 2 years of diagnosis- were asked to provide a blood, and following consent, and PBMC were isolated. CD57-positive and CD57-negative CD8 T cell populations were sorted by FACS, and finally, RNA was extracted. Amplified cDNA was obtained and used for the library preparation.

2018-08-03 | E-MTAB-6727 | biostudies-arrayexpress

Transcription profiling of CD8+CD57+ T cells from healthy donors and HIV patients

Project description:Gene Array Analysis of CD8+ CD57+ T cells in HIV Patients. Gene expression patterns of CD8+CD57+ T cells from healthy donors and HIV patients were compared. Gene expression patterns of CD8+CD57- T cells and CD8+CD57+ T cells were compared.

2005-07-30 | E-MEXP-393 | biostudies-arrayexpress

Comparison of Expression profile between CD3-CD56dimCD16+ CD57+ and CD57neg NK cells

Project description:Thirty to 60% of CD56dimCD16bright NK cells in healthy adults express CD57, which is not expressed on immature CD56bright NK cells or fetal and newborn NK cells. We hypothesized that CD57+ NK cells within the CD56dim mature NK cell subset are highly mature and might be terminally differentiated. We used microarrays to assess the transcriptional differences between CD57+ and CD57neg NK cells within the CD56dim mature NK subset.

2010-08-18 | GSE23695 | GEO

Gene expression profiling of NKG2C+ NK cells generated from inflammatory CD34+DNAM-1brCXCR4+ and Lin-CD34- CD16+CD56- blood precursors

Project description:There is limited knowledge on the origin and development of the ample spectrum of human NK cells, particularly of specialized NK subsets. Here, we characterized the NK cell progeny of CD34+DNAM-1bright CXCR4+ precursors that reside in healthy bone marrow and circulate in the peripheral blood (PB) of patients with chronic infections/inflammation. including HIV, HCV or HCMV reactivation after HSC transplantation. Unlike conventional CD34+ precursors they rapidly differentiated in vitro into cytotoxic, IFNγ-secreting CD94/NKG2C+KIR+CD57+ maturing NK cell progenies with HCMV-inhibiting activity. Progeny characterization led also to identification of an additional new PB Lin-CD56-CD16+ precursor giving rise to the same CD94/NKG2C+KIR+CD57+ maturing NK cell progenies. Microarray analysis of NK cell progenies revealed a signature compatible with maturing adaptive NK cells. In vivo circulation of multiple common lymphocyte precursors with rapid development to NKG2C+ NK cell progeny is steadily occurring and may thus be a crucial resource for the prompt control of HCMV. We used microarray to compare the transcriptional profiles of human NKG2C+ NK cells derived from i) CD34+DNAM1brightCXCR4+ precursors, ii) Lin-CD34-CD16+CD56- precursors, iii) peripheral blood.

2020-12-31 | GSE136570 | 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