Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expressions of CD4+ T cells in each developmental stages

ABSTRACT: The development of T cells has been characterized as taking place over three stages: naïve (Tn), central memory (Tcm), and effector memory (Tem) cells. Recently, stem cell memory T cells (Tscm) were found to be the least-developed memory subset. We performed detailed analysis of the gene expression of human CD4+ T cells with clear distinction of the Tn, Tscm, Tcm, and Tem stages.

ORGANISM(S): Homo sapiens

PROVIDER: GSE61697 | GEO | 2015/05/12

SECONDARY ACCESSION(S): PRJNA261875

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Gene expressions of CD4+ T cells in each developmental stages

Project description:The development of T cells has been characterized as taking place over three stages: naïve (Tn), central memory (Tcm), and effector memory (Tem) cells. Recently, stem cell memory T cells (Tscm) were found to be the least-developed memory subset. We performed detailed analysis of the gene expression of human CD4+ T cells with clear distinction of the Tn, Tscm, Tcm, and Tem stages. We sorted Tn, Tscm, Tcm, and Tem CD4+ T cells from the peripheral blood of six healthy volunteers to see the differences of gene expression between each developmental stage.

2015-05-12 | E-GEOD-61697 | biostudies-arrayexpress

Gene expressions of CD4+ T cells from patients with rheumatoid arthritis in each developmental stages

Project description:The development of T cells has been characterized as taking place over three stages: naïve (Tn), central memory (Tcm), and effector memory (Tem) cells. Recently, stem cell memory T cells (Tscm) were found to be the least-developed memory subset. We performed detailed analysis of the gene expression of human CD4+ T cells from patients with rheumatoid arthritis with clear distinction of the Tn, Tscm, Tcm, and Tem stages.

2021-04-01 | GSE80785 | GEO

Transcription profiling of human CD8 naive (TN), central memory (TCM), effector memory (TEM), and effector memory RA (TEMRA) T cells

Project description:Memory T cells are heterogeneous in terms of their phenotype and functional properties. We investigated the molecular profiles of human CD8 naïve (TN), central memory (TCM), effector memory (TEM), and effector memory RA (TEMRA) T cells using gene expression microarrays and phospho-protein-specific intracellular flow cytometry. We demonstrate that TCM have a gene expression and cytokine signaling signature that lies between that of TN and TEM or TEMRA cells, whereas TEM and TEMRA are closely related. Our data define the molecular basis for the different functional properties of central and effector memory subsets. We show that TEM and TEMRA cells strongly express genes with known importance in CD8 T cell effector function. In contrast, TCM are characterized by high basal and cytokine-induced STAT5 phosphorylation, reflecting their capacity for self-renewal. Altogether, our results distinguish TCM and TEM/TEMRA at the molecular level and are consistent with the concept that TCM represent memory stem cells.

2005-01-01 | E-TABM-40 | biostudies-arrayexpress

Expression data from human naïve (TN), stem cell memory (TSCM), central memory (TCM) and effector memory (TEM) CD8+ T cells

2011-07-13 | GSE23321 | GEO

Expression data from human naïve (TN), stem cell memory (TSCM), central memory (TCM) and effector memory (TEM) CD8+ T cells

Project description:An early-differentiated CD8+ memory T cell subset with stem cell-like properties (TSCM) can be identified within the naïve-like T cell population by the expression of CD95/Fas. Based on experiments including exon- and gene-level expression analysis, we provide evidence that this subset of antigen-specific cells represents an early precursor of conventional central (TCM) and effector (TEM) memory CD8+ T cells with enhanced self-renewal capacity and proliferative potential. We identified 900 genes differentially expressed between major T cell subsets defined along with memory T cell commitment. Based on the analysis of these genes, CD95+ naïve T cells (TSCM) cluster closer to the CD8+ T memory compartment than to classical (CD95-) naïve T (TN) cells, and display an intermittent phenotype between classical TN and TCM cells in terms of all major T cell differentiation markers analyzed. Three healthy human blood donors provided lymphocyte-enriched apheresis blood for this study after informed consent. From all samples, total RNA was isolated using an RNEasy Micro kit (Qiagen), processed by Ambion’s WT expression kit, fragmented and labeled with a WT Terminal Labeling Kit (Affymetrix), hybridized to WT Human Gene 1.0 ST arrays (Affymetrix) and stained on a Genechip Fluidics Station 450 (Affymetrix), all according to the respective manufacturer's instructions. Samples represent "exon-level" and "gene-level" analyses.

2011-07-12 | E-GEOD-23321 | biostudies-arrayexpress

Homo sapiens

Project description:Expression data from human naïve (TN), stem cell memory (TSCM), central memory (TCM) and effector memory (TEM) CD8+ T cells

| PRJNA131239 | ENA

Targeting IL-21 to tumor-reactive T cells enhances memory T cell responses and anti-PD-1 antibody therapy

Project description:T cell rejuvenation by PD-1/PD-L1 blockade, despite emerging as a highly promising therapy for advanced cancers, is only beneficial for a minority of treated patients. There is evidence that a lack of efficient T cell activation may be responsible for the failure. Here, we demonstrate that IL-21 can be targeted to tumor-reactive T cells by fusion of IL-21 to anti-PD-1 antibody. To our surprise, the fusion protein PD-1Ab21 promoted the generation of TSCM-like CD8+ T cells with enhanced cell proliferation. A transcriptome analysis of isolated TN, activated and PD-1Ab-cultured CD44highCD62Lhigh T cells, IL-2-generated TE/TEM, IL-15-generated TCM as well as PD-1Ab21 and IL-21-generated CD44lowCD62Lhigh T cells provides corroborating evidence that PD-1Ab21 induces conversion of activated CD8+ T cells back to a memory subset that is distinct from TCM cells, but similar to TSCM. PD-1Ab21 treatment showed potent antitumor effects in established tumor-bearing mice accompanied with an increased frequency of TSCM and robust expansion of tumor-specific CD8+ T cells with a memory phenotype, and was superior to a combination of PD-1 blockade and IL-21 infusion. Therefore, we have developed a potential strategy to improve the therapeutic effects of immune checkpoint blockade by simultaneously targeting cytokines to tumor-reactive T cells.

2021-01-01 | GSE164093 | GEO

Expression data from mouse naïve (Naive), stem cell memory (TSCM), central memory (TCM) CD4+ T cells

Project description:Stem cell memory T cells can be defined as the memory T cell subsets with naïve T cell phenotypes and stem cell-like properties. We find that Notch signaling converts activated T cells into stem cell memory T (TSCM) cells by OP9-DL1 feeder cell coculture. Based on gene expression profile analysis, we provide evidence that these cells represent distinct characters with central memory T (TCM) cells and naïve T cells with effector molecules and transcription factors. TSCM cells induced by Notch cluster closer to TCM cells than naïve T cells, and display similar phenotypes to TCM phenotype in terms of effector molecules and transcription factors, but the gene expressions of TSCM cells are entirely lower than that of TCM cells.

2016-12-15 | GSE92381 | GEO

RNA-seq from sorted population of CD8 T cells (50 cells per sample) of human CD8 T memory stem cells (Tscm) subsets defined by surface expression of CD122 or CXCR3

Project description:Although it is recognised that CD8+ T memory stem cells (Tscm) are heterogeneous in phenotype and function, very few studies have sought to systematically examine these characteristics, particularly in human samples, as the population as a whole is rare and antigen-specific cells even more so. For each T cell subsets investigated, we have performed optimized RNAseq for small number of cells by adapting the Smartseq2 protocol from scRNAseq. The mini-bulk number of cells was chosen to reduce heterogeneity but also maintain an adequate transcriptomics signal. Adapted from Smartseq2 protocol from scRNAseq described by Picelli et al, cell lysis buffer was prepared by adding 1 μl RNase inhibitor (Clontech, Mountain View, USA) to 19 μl Triton X‐100 solution (0.2% v/v). CD8 T cell subpopulations (TN, TSCM, TCM and TEM together with TSCM CXCR3hi/lo and CD122hi/lo) were bulk sorted (50 cells/sample, with replicates) directly into 96-well PCR plates containing 2 μl lysis buffer, 1 μl dNTP mix (10 mM) and 1 μl oligo‐dT primer at 5 μM. Plates were stored at -80 °C until ready to perform the assay. Reverse-transcription and PCR amplifications were performed as described, with the exception of reducing the IS PCR primer to a 50 nM final concentration and increasing the number of cycles to 28. Sequencing libraries were prepared using the Nextera XT Library Preparation Kit (Illumina; San Diego, USA) and sequencing was performed on Illumina NextSeq500 sequencing platforms with 2×150bp paired-end read output, the read depth was approximately 1.3 million reads per sample.

2022-03-10 | E-MTAB-10208 | biostudies-arrayexpress

Expression of miRNAs in human ex-vivo CD8+ T cell subsets

Project description:The aim was to assess miRNA expression in 3 human ex-vivo CD8+ T cell subsets which span from antigen inexperienced cells (NaM-CM-/ve) to early memory cells (central memory, Tcm) and later stage memory cells (effector memory, Tem) CD8+ T cells were sorted on a FACS Aria II machine. N = naM-CM-/ve = CD8+, CCR7+, CD45RA+, CD45RO-, Tcm = central memory = CD8+, CCR7+, CD45RA-, CD45RO-,Tem= effector memory = CD8+, CCR7-, CD45RA-, CD45RO+ PBMC were isolated from 3 healthy human donors and sorted by FACS into 3 CD8+ T cell subsets. Total RNA was purified using the miRVANA kit (Ambion)

2014-10-24 | E-GEOD-54867 | 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