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Transcriptional profiling of CD45RO+CD57+CD4+ T cells

ABSTRACT: Transcriptional profiling of CD45RO+CD57+CD4+ T cells

PROVIDER: PRJNA555510 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR9715600_1.fastq.gz	Fastqsanger.gz
	SRR9715600_2.fastq.gz	Fastqsanger.gz
	SRR9715601_1.fastq.gz	Fastqsanger.gz
	SRR9715601_2.fastq.gz	Fastqsanger.gz
	SRR9715602_1.fastq.gz	Fastqsanger.gz

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Transcriptional profiling of CD45RO+CD57+CD4+ T cells

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

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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.

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

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2016-01-08 | GSE64805 | 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

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

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

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microRNA expression profiling of different T cell subset in human tonsils

Project description:Tight control of follicular helper T(Tfh) cells is required for optimal maturation of the germinal center (GC) response. The molecular mechansims controlling Tfh cell differentiation remain incompletely understood. Here we sought to to identfiy miRNAs that might regulate Tfh cell development and/or function. To identfiy miRNAs that are differentially expressed in Tfh cells, we performed Agilent microRNA microarray analysis comparing Tfh cells with the other main T cell subsets (naive T cells, non-Tfh effector or non-Tfh memory T cells, CD57+ Tfh cells and CD57- Tfh cells). RNA was extracted from 4 separate human tonsils (biological replicates) using mirVANA RNA isolation kit (Ambion) according to the manufacturerM-bM-^@M-^Ys protocol. Each biological sample was analysed individually. Live lymphocytes were sorted based on negative 7AAD staining, and thefollowing four subsets were purified: Naive T cells (CD4+ CD45RO-); CD57+ Tfh cells (CD4+ CD45RO+ PD-1_high CXCR5_high CD57+); CD57- Tfh cells (CD4+ CD45RO+ PD-1_high CXCR5_high CD57-) and non-Tfh effector or memory T cells (CD4+ CD45RO+ PD-1_neg CXCR5_neg). RNA quantity and quality was determined using a Nanodrop 1000 and an Agilent 2100 Bioanalyzer respectively. Hybridization on Agilent Human miRNA Microarray (V1) Kit, 8x15K and was performed at The Ramaciotti Center for Genomics (University of New South Wales, Australia). The mean of 3-4 biological replicates from each population of each population were calculated and values were plotted using Prism.

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Expansion of polyfuntional CD57+ KLRG1+ senescent CD4+ and CD8+ T cells in breast cancer patients.

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.

2021-08-18 | GSE142080 | GEO

CD4+ cell transcriptional profiling by RNA sequencing

Project description:<p>We use next generation sequencing to investigate the different transcriptomes of closely related CD4+ T-cells from healthy human donors to elucidate the genetic programs that underlie their specialized immune functions. Six cell types were included: Regulatory T-cells (CD25hiCD127low/neg with >95% FOXP3+ purity), regulatory T-cells activated using PMA/ionomycin, CD25-CD45RA+ ('naive' helper T-cells), CD25-CD45RO+ ('memory' helper T-cells), activated Th17 cells (>98% IL17A+ purity) and activated IL17-CD4+ T-cells (called 'ThPI'). Poly-T capture beads were used to isolate mRNA from total RNA, and fragment sizes of ~200 were sequenced from both ends on Illumina's genome analyzer. We confirm many of the canonical signature genes of T-cell populations, but also discover new genes whose expression is limited to specific CD4 T-cell lineages, including long non-coding RNAs. Additionally, we find that genes encoded at loci linked to multiple human autoimmune diseases are enriched for preferential expression upon T-cell activation, suggesting that an aberrant response to T-cell activation is fundamental to pathogenesis.</p>

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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.

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

Transcription profiling of human CD4 positive T cell subsets

Project description:Peripheral Blood Mononuclear Cells (PBMCs) were isolated from a buffy coat (Australian Blood Bank) using Ficoll methodology. CD4+ T cells were isolated using Dynal Beads kit. Pure CD4+ T cells were then stained using a cocktail of monoclonal antobodies (mAbs), including: anti-CD4PE, CD45RO ECD, CD62L APC-Cy7, CD25 APC, CD127 Pacific Blue. After incubation, cells were washed twice in PBS/FCS (0.2%), and sorted into five different cell subsets: CD4+CD25+CD127low CD62L+CD45RO- (naive regulatory T cells), CD4+CD25+CD127low CD62L+/- CD45RO+ (activated regulatory T cells), CD4+CD25+CD127hi CD62L+/- CD45RO+ (memory T cells), CD4+CD25-CD127low CD62L+/- CD45RO+ (effector T cells) and CD4+CD25-CD127hi CD62L+ CD45RO- (naive T cells).

2011-02-10 | E-MEXP-2578 | biostudies-arrayexpress

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