Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identification of transcriptomic signatures for differentiation of CD4+ T cell subsets

ABSTRACT: To investigate transciprtomic landscape changes during the Th cell activation induced by Th cell-specific cytokines, we stimulated naïve CD4+ T cells with immobilized anti-TCR mAb and anti-CD28 mAb for 48 hours under Th0, Th1, Th2, Th17, or Treg cell culture conditions.

ORGANISM(S): Mus musculus

PROVIDER: GSE210222 | GEO | 2022/12/20

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project Title: Proteome analysis of CD4+ T cell subsets

Project description:Functionally distinct CD4+ helper T (Th) cell subsets, such as Th1, Th2, Th17, and regulatory T cells (Treg), play a pivotal role in the host-defense against pathogen invasion and the pathogenesis of inflammatory disorders. In this project, DIA-MS-based proteome analysis was performed on naïve CD4+ T, Th0, Th1, Th2, Th17 and iTreg cells using Q Exactive HF-X (Thermo Fisher Scientific) to search for proteins that differ among the cell subsets.

2023-01-04 | PXD036065 | JPOST Repository

Transcriptional profiles of CCR7lo effector memory human T cell subsets

Project description:The aim of this study was to identify differentially-expressed genes in CCR4hi/CXCR3- and CCR4lo CXCR3+ CCR6+ human Th17 cell subsets Human CD45RO+ memory T cells isolated from the peripheral blood of healthy adult donors were sorted into 4 predominant CCR7lo CD25- effector memory subsets: (1) Th1 - CCR6- CCR4lo CXCR3+; (2) Th2 - CCR6- CCR4hi CXCR3+; (3) Th17 - CCR6+ CCR4hi CXCR3-; (4) Th17.1 - CCR6+ CCR4lo CXCR3-. Sorted cells were cultured in media and activated via anti-CD3/anti-CD28 beads for 36 hours. All subsets were then harvested and used for RNA extraction and microarray experiments. Th1 vs Th2; Th1 vs Th17; Th1 vs Th17.1; Th2 vs Th17; Th2 vs Th17.1; Th17 vs Th17.1

2013-12-17 | E-GEOD-49703 | biostudies-arrayexpress

Lipidomic analysis of CD4+ T-cell subsets (Th1,Th2,Th17 and iTreg cells) (part I)

Project description:Part 1/5: It includes lipidomic analysis of CD4+ T-cell subsets(Th1,Th2,Th17 and iTreg cells)and their paired controls(Th0 cells).

2021-01-28 | ST001676 | MetabolomicsWorkbench

Combinatorial flexibility of cytokine during Human T helper cells differentiation

Project description:Transcriptional analysis of human T cells differentiated in 4 T Helper context ( Th0, Th1, Th2 and Th17) in the presence or not of Interferon alpha We analyzed the transcriptomic profiles of 4 human naives T cells diferentiated in Th0, Th1, Th2 and Th17 in the presence or not of Interferon Alpha. Microarray analyses were performed in 2 time points : 1/ after Day 5 of polarization (= Day5); 2/ after Day 5+ four hours of re-stimulation (=Day 5+ 4H restim) in 3 different donors.

2014-05-29 | E-GEOD-54627 | biostudies-arrayexpress

in vitro differentiated Th0, Th17, and Tr1 cells

Project description:Gene expression profiling of in vitro differentiated murine Th cell subsets. Flow cytometrically sorted naive Th cells (CD4+ CD44- Foxp3-) were polyclonally stimulated in vitro for 3 days using 4 Âµg/ml plate-bound antibody to CD3 (145-2C11) and 2 Âµg/ml soluble antibody to CD28 (PV-1). Th0 cells were cultured in the absence of exogenous cytokines. Th17 cells were differentiated with 50 ng/ml IL-6 plus 0.5 ng/ml TGF-Î². Tr-1 cells were differentiated with 100 ng/ml IL-27 plus 0.5 ng/ml TGF-Î². Five biological replicates per Th subset (Th0, Th17, Tr1)

2014-03-20 | E-GEOD-56021 | biostudies-arrayexpress

Combinatorial flexibility of cytokine during Human T helper cells differentiation

Project description:Transcriptional analysis of human T cells differentiated in 4 T Helper context ( Th0, Th1, Th2 and Th17) in the presence or not of Interferon alpha

2014-05-29 | GSE54627 | GEO

Analysis of gene expression in different T cell clones

Project description:The aim was to analyze the expression of genes in T cell clones having different functional profiles (Th1, Th0, Th17, Th2) obtained from the same individual. Keywords: Gene expression, T cell clones, Th17 characterisation

2008-05-30 | GSE11553 | GEO

Phenotypes of Th lineages generated by the commonly used activation with anti-CD3/CD28 antibodies differ from those generated by the physiological activation with the specific antigen

Project description:T-helper (Th) lineages have been generated in vitro by activating CD4 cells with anti-CD3/CD28 antibodies during polarization. Physiologically, however, the generation of Th lineages is by activation with the specific antigen presented by antigen-presenting cells (APC). Here, we used TCR-transgenic mice to compare the phenotypes of Th1, Th9 and Th17 lineages when generated by either one of the two activation modes. Lineage Th cells specific against hen egg lysozyme (HEL), were adoptively transferred into recipient mice transgenically expressing HEL in their lens. Remarkable differences were found between lineages of Th1, Th9, or Th17, generated by either one of the two modes in their capacities to migrate to and proliferate in the recipient spleen and, importantly, to induce inflammation in the recipient mouse eyes. Substantial differences were also observed between the lineage pairs in their transcript expression profiles of certain chemokines and chemokine receptors. Surprisingly, however, close similarities were observed between the transcript expression profiles of lineages of the three phenotypes, activated by the same mode. Furthermore, Th cell lineages generated by the two activation modes differed considerably in their pattern of gene expression, as monitored by microarray analysis, but exhibited commonality with lineages of other phenotypes generated by the same activation mode. This study thus shows that (i) Th lineages generated by activation with anti-CD3/CD28 antibodies differ from lineages generated by antigen/APC and (ii) the mode of activation determines to a large extent the expression profile of major transcripts NaM-CM-/ve CD4+ T cells purified from spleen and lymph node cells of 3A9 mice were activated and polarized toward Th1, Th9, and Th17 lineages, under either plate bound anti-CD3/anti-CD28 (PBAB) or APC presented HEL protein (HA).

2014-02-13 | E-GEOD-54938 | biostudies-arrayexpress

Transcriptional profiling of Th1, Th2, Th9, and Th17 T cell clones

Project description:We next sought to identify the transcriptional program that differentiates IL-9+Th2 cells from “conventional” Th2 cells. To this end, we selected representative Th1, Th17, Th2, and IL-9+Th2 clones (Figure 5A) and determined their transcriptome in the resting state and at different time points after activation using RNAseq. Peripheral Blood Mononuclear Cells (PBMC) were isolated by Ficoll-Plaque Plus (GE Healthcare, UK) density gradient centrifugation. Human CD4+ T cells were isolated from PBMC by EasySep positive selection kit (Stemcell Technologies) according to manufacturer’s instruction. Positively selected CD4+ T cells were washed with PBS and stained for subsequent Th cell subset sorting. Memory Th cell subsets were sorted to over 90% purity according to their expression of chemokine receptors from CD45RA-CD25-CD8-CD3+ cells: Th1(CXCR3+CCR8-CCR6-CCR4-), Th2 (CXCR3-CCR8-CCR6-CCR4+), Th17 (CXCR3-CCR8-CCR6+CCR4+), Th9 (CXCR3-CCR8+CCR6-CCR4+). Single cell Th subset clones were directly sorted into 96well plate according to their expression of chemokine receptors (see above). Single cell clones were expanded and maintained by periodic restimulation with PHA (phytohaemaglutinine, 1 µg/ml, Sigma-Chemicals) and irradiated allogenic feeder cells (5x104/well) in culture medium. T cells were polyclonally activated using beads coated with antibodies against CD3, CD2, and CD28 (T cell/bead = 2:1, human T cell activation/expansion Kit, Miltenyi). Cell cultures were sampled before activation (time 0h) and 2, 4, 6, 9, 12, 24, and 48 hours after activation.

2017-11-10 | E-MTAB-5739 | biostudies-arrayexpress

Transcription profiling of mouse spleen CD4+ CD44Low CD62LHigh cells stimulated with anti-CD3 or anti-CD28 in the presence or absence of hTGFb-1 and mouse IL-6

Project description:Mouse spleen CD4+CD44LowCD62LHigh cells were stimulated with 2ug/ml anti-CD3(eBioscience), 2ug/ml anti-CD28 (eBioscience) in the presence (Th17 condition) or absence (Th0 condition) of hTGFb-1 (1ng/ml eBioscience), mouse IL-6(10ng/ml eBioscience). Cells were collected after 24 hourÕs culture using RNAeasy columns (Qiagen) for total RNA isolation. Isolated total RNA from Th0 and Th17 conditioned cells were submitted for the microarray gene transcription comparison analysis using Affymetrix Mouse 430A 2.0 array chips.

2008-12-21 | E-TABM-583 | 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