Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

30 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcription profiling of primary CD8+ T cell activation

ABSTRACT: Little is known about the global transcriptional program underlying CD8+ T-cell activation. Using DNA microarrays and Q-RT-PCR, we examined the transcriptional profile of human CD8+ T-cell activation. The goal of this study was to identify genes involved in the various facets of human CD8+ T-cell activation. Experiment Overall Design: CD8+ T cells isolated from peripheral blood were cultured with CD3, CD28, with or without IL-2 to induce T-cell activation. At each timepoint, cells were harvested and frozen for RNA isolation. Three biological replicate experiments were analyzed and approximately one-half of the samples from each experiment were technically replicated. Hybridizations were performed in a reference design with all samples labeled with Cy3 and a reference thymus total RNA labeled with Cy5.

ORGANISM(S): Homo sapiens

SUBMITTER: Eleftherios Papoutsakis

PROVIDER: E-GEOD-7572 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

Transcription profiling of human primary T cell culture and T cell response to oxidative stress

Project description:Little is known about the global transcriptional program underlying T-cell activation and T-cell response to oxidative stress. Using DNA microarrays and Q-RT-PCR, we examined the transcriptional profile of human T-cell activation and T-cell response to H2O2 stress. The goal of this study was to identify genes involved in the various facets of human T-cell activation and T-cell response to H2O2 stress. Experiment Overall Design: T cells isolated from peripheral blood were cultured with CD3, CD28, and IL-2 to induce T-cell activaiton. Samples were splited into two parts before the cutlure started, one treated with 25 uM H2O2 for 10 minutes, the other intact. At each timepoint, cells were harvested and frozen for RNA isolation. Three biological replicate experiments were analyzed and approximately one-half of the samples from each experiment were technically replicated. Hybridizations were performed in a reference design with all samples labeled with Cy3 and a reference thymus total RNA labeled with Cy5.

2008-06-15 | E-GEOD-6607 | biostudies-arrayexpress

Transcription profiling of human primary CD4+ T cell activation, time series

Project description:Little is known about the global transcriptional program underlying CD4+ T-cell activation. Using DNA microarrays and Q-RT-PCR, we examined the transcriptional profile of human CD4+ T-cell activation. The goal of this study was to identify genes involved in the various facets of human CD4+ T-cell activation. Experiment Overall Design: CD4+ T cells isolated from peripheral blood were cultured with CD3, CD28, with or without IL-2 to induce T-cell activation. At each timepoint, cells were harvested and frozen for RNA isolation. Three biological replicate experiments were analyzed and approximately one-half of the samples from each experiment were technically replicated. Hybridizations were performed in a reference design with all samples labeled with Cy3 and a reference thymus total RNA labeled with Cy5.

2008-06-15 | E-GEOD-7571 | biostudies-arrayexpress

Microarray analysis of the effects of IL-2 signaling on in vitro activated WT CD8 T cells

Project description:Interleukin 2 (IL-2) promotes proliferation and differentiation of CD8+ T cells in vitro and in vivo. To define gene expression regulated by IL-2, we purified naive CD8+ T cells, activated them for 2 days followed by treatment with recombinant IL-2 or with neutralizing antibody against IL-2 and compared gene expression between the two treatments. Total RNA was extracted using the NucleoSpin RNA XS kit (Macherey-Nagel), amplified using a PicoSL RNA amplification kit (Nugen) and biotinylated with Encore biotin module (Nugen). Labeled RNA was hybridized to Mouse Gene 1.0ST microarrays (Affymetrix) according to the manufacturer’s instruction.

2014-07-13 | E-GEOD-58077 | biostudies-arrayexpress

Transcription profiling of mouse CD8+ T cells from wild type and Elf4-/- mice left untreated or activated in vitro by culturing on anti-CD3 coated plates and anti-CD28 in media

Project description:Transcription factors that regulate quiescence, proliferation, and homing of lymphocytes are critical for effective immune system function. In the present study, we demonstrated that the transcription factor ELF4 directly activates the tumor suppressor KLF4 downstream of T cell receptor (TCR) signaling to induce cell cycle arrest in naÃ¯ve CD8+ T cells. Elf4- and Klf4-deficient mice accumulated CD8+CD44hi T cells during steady-state conditions and generated more memory T cells after immunization. The homeostatic expansion of CD8+CD44hi T cells in Elf4-null mice resulted in a redistribution of cells to non-lymphoid tissue due to reduced expression of the transcription factor KLF2, and the surface proteins CCR7 and CD62L. This work describes the combinatorial role of lymphocyte-intrinsic factors in the control of T cell homeostasis, activation and homing. Experiment Overall Design: CD8 T cells were purified from spleen of wild type and Elf4-/- mice and CD8 T cells were left untreated or activated in vitro by culturing on anti-CD3 coated plates and anti-CD28 in media (RPMI 10% FBS supplemented with 5% T-stim) for 3.5 days. Experiment Overall Design: RNAs isolated from wild type and Elf4 -/- CD8+ T cells were used in Affimetrix oligonucleotide arrays either untreated or after 3.5 days of activation.

2009-03-28 | E-GEOD-15324 | biostudies-arrayexpress

Transcription profiling of mouse T-cells from wildtype and Gfi1 knockout mice

Project description:This SuperSeries is composed of the following subset Series:; GSE4938: murine CD4+ and CD8+ T-cells from wildtype and Gfi knockout cells; GSE4940: murine T-cells from wildtype and Gfi1 knockout mice activated by anti-CD3 plus anti-CD28 for 0 to 24h Experiment Overall Design: Refer to individual Series

2009-08-07 | E-GEOD-4950 | biostudies-arrayexpress

Cish inhibits CD8+ T cell immunity and disrupts proximal T cell receptor signaling

Project description:T cell receptor (TCR) signaling is a critical process in immunity to infectious disease and cancer. Recently, a genome-wide association study has implicated polymorphisms in the CISH locus with susceptibility to infectious diseases. However, the role of Cish in the immune responses and its molecular underpinnings remains unclear. Here we demonstrate that Cish deletion resulted in protection against viral infection and enhanced CD8+ T cell tumor immunity. Transcriptome profiling revealed a hyper-TCR activation signature in Cish-deficient CD8+ T cells. Subsequent analysis revealed an inhibitory role for Cish in PLCγ1 activation, ensuing Ca2+ release and downstream signaling. In the steady-state Cish was found to physically interact with PLCγ1, however, PLCγ1 was only found to be ubiquitinated after acute TCR stimulation in the presence of Cish. These data implicate Cish as a potent negative regulator of TCR signaling and T cell immunity to infection and cancer and may have significant clinical applications. 4 biological replicates from wild-type mice and 3 biological replicates from Cish knock-out (-/-) mice were analyzed.

2015-04-30 | E-GEOD-56328 | biostudies-arrayexpress

Analysis of gene expression in CD8+ T cells activated in vitro or in vivo

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2014-07-13 | E-GEOD-58081 | biostudies-arrayexpress

Gene expression analysis of cMyc-deficient CD8 T cells retrovirally overexpressing cMyc or AP4

Project description:To determine functional overlap between cMyc and AP4 in CD8+ T cell priming, we retrovirally expressed cMyc or AP4 in cMyc-deficient CD8+ T cells and examined gene expression after activation. Naive CD8+ T cells from Myc conditional knockout mice with a tamoxifen inducible Cre transgene were retrovirally transduced with Myc or AP4 followed by a treatment with 4-hydroxytamoxifen in the presence of IL-7 for 2 days. RNA was harvested 48 hours after restimulation of transduced cells with anti-CD3 antibody and gene expression was compared by microarray. CD8+ T cells from littermate wildtype mice that were transduced with an empty retrovirus were used as control.

2014-07-13 | E-GEOD-58079 | biostudies-arrayexpress

Integrative proteomics and transcriptomics of human T-cells reveals temporal changes in metabolic pathways following TCR-mediated activation

Project description:T-cells are a critical component of the adaptive immune system and play a key role in immunological surveillance. Upon engagement of T-cell receptor (TCR), CD4+ and CD8+ T-cells acquire effector functions through a complex interplay between mRNA and proteins yet to be fully understood. In this study we explored the temporal transcriptomic and proteomic changes mediated by TCR engagement in both CD4+ and CD8+ T-cells. T-cells isolated from peripheral blood mononuclear cells of three healthy volunteers over 90% purity as assessed by fluorescence-labeled flow cytometry (FACS) and monoclonal antibodies were in vitro activated using anti-CD3/CD28 Dynabeads. Samples obtained before the activation, and 6h, 12h, 24h, 3 days (d), and 7d following activation were analyzed using label-free data-dependent acquisition mass spectrometry-based proteomics (DDA-proteomics), to identify the temporal dynamics in CD4+ and CD8+ T-cell proteomes during activation. A parallel analysis was performed to explore the transcriptomic dynamics during T-cell activation. Our data revealed a time-dependent dissociation between the T-cell transcriptome and proteome: the onset of activation was driven by rapid changes of the mRNA content with sluggish increase in protein synthesis, ultimately leading to rewired transcriptome and proteome. We surprisingly found that CD4+ and CD8+ T-cells became transcriptionally more divergent while their proteome became more similar over the time course of activation. Several changes in the content of mRNAs and proteins associated with metabolic pathways were detected through KEGG pathway analysis, revealing a transient disconnection between the aerobic glycolysis and glutaminolysis pathways in activated T-cells. This dataset provides a comprehensive framework for understanding the main temporal changes that regulate metabolic pathways governing the acquisition of effector functions by CD4+ and CD8+ T-cells.

2023-12-28 | PXD038810 | Pride

Transcription profiling of mouse effector cells derived from naive or central memory pmel-1 CD8+ T cells

Project description:Effector cells for adoptive immunotherapy can be generated by in vitro stimulation of naÃ¯ve or memory subsets of CD8+ T cells. While the characteristics of CD8+ T cell subsets are well defined, the heritable influence of those populations on their effector cell progeny is not well understood. We studied effector cells generated from naÃ¯ve or central memory CD8+ T cells and found that they retained distinct gene expression signatures and developmental programs. Effector cells derived from central memory cells tended to retain their CD62L+ phenotype, but also to acquire KLRG1, an indicator of cellular senescence. In contrast, the effector cell progeny of naÃ¯ve cells displayed reduced terminal differentiation, and, following infusion, they displayed greater expansion, cytokine production, and tumor destruction. These data indicate that effector cells retain a gene expression imprint conferred by their naÃ¯ve or central memory progenitors, and they suggest a strategy for enhancing cancer immunotherapy. Experiment Overall Design: Effector cells were generated from naive or central memory CD8+ T cells. The cells were then rested (unstimulated) or restimulated (stimulated). This experimental design resulted in 4 groups (NaÃ¯ve-derived/stimulated, NaÃ¯ve-derived/unstimulated, Central memory-derived/stimulated, Central memory-derived/unstimulated). Three replicates from independent experiments were analyzed.

2009-06-23 | E-GEOD-16522 | 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