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Differences in PD-1+CD57- CD8+ T cells versus other CD8+ memory T cells and in control versus hypertensive individuals

ABSTRACT: Differences in PD-1+CD57- CD8+ T cells versus other CD8+ memory T cells and in control versus hypertensive individuals

PROVIDER: PRJNA878516 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR21491158_1.fastq.gz	Fastqsanger.gz
	SRR21491158_2.fastq.gz	Fastqsanger.gz
	SRR21491159_1.fastq.gz	Fastqsanger.gz
	SRR21491159_2.fastq.gz	Fastqsanger.gz

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Differences in PD-1+CD57- CD8+ T cells versus other CD8+ memory T cells and in control versus hypertensive individuals

Project description:The primary goal was to determine the phenotype of PD-1+CD57- CD8+ T cells compared to other CD8+ memory T cells based on single cell RNA sequencing. Peripheral blood mononuclear cells (PBMCs) from control and hypertensive samples were included. Secondary analyses include comparing gene expression changes in these cells between control and hypertensive individuals.

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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.

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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.

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

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

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Deep sequencing and flow cytometric characterization of expanded effector memory CD8+CD57+ T cells frequently reveals T-cell receptor Vβ oligoclonality and CDR3 homology in acquired aplastic anemia

Project description:In this work, we investigated the frequency and oligoclonal expansion of effector CD28-CD57+ memory cells in CD8+ T cell compartments and the T-cell Receptor (TCR) Vβ repertoire in acquired aplastic anemia (AA) to provide additional evidence to the immune hypothesis in AA pathophysiology. Using flow cytometry, deep sequencing, and computational methods, we examined the blood of 32 AA patients and 29 appropriate controls for Vβ usage; eight of these patients showing CD8+CD57+ expansion and three healthy subjects were subjected to TCR deep sequencing to confirm the clonality. We showed that CD8+CD57+ cells were frequently expanded with oligoclonal characteristics in AA, and patients and healthy donors shared CD8+ clonotypes by complementarity-determining region 3 sequences analysis.

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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.

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Project description:We used microarrays to compare the gene expression profile of DP and DN (KLRG1 and CD57) CD4+ T cells from luminal breast cancer patients and healthy donors.

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