Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression data of human tonsilar CD4 positive T cell subsets

ABSTRACT: Type 1 regulatory T (Tr1) cells are one of the regulatory T cell subsets that are characterized by the production of high amount of IL-10 and lack of FOXP3 expression. Lymphocyte-activation gene 3 (LAG3) is a CD4 homologue molecule and we have previously reported that LAG3 is expressed on IL-10 producing regulatory T cells. However, naturally occurring Tr1 cells in human secondary lymphoid tissue have not been detected. We identified CD4+CD25-LAG3+ T cells in human tonsil. We compared mRNA expression of five CD4+ T cell subsets in tonsil using microarray analysis (CD4+CD25-LAG3+ T cells, CD4+CD25-CXCR5+PD-1+ follicular helper T cells (TFH), CD4+CD25+ T cells, CD4+CD25-LAG3-CD45RO+ cells and CD4+CD25-LAG3-CD45RO- cells).

ORGANISM(S): Homo sapiens

PROVIDER: GSE73927 | GEO | 2016/04/01

SECONDARY ACCESSION(S): PRJNA298534

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Expression data of human tonsilar CD4 positive T cell subsets

Project description:Type 1 regulatory T (Tr1) cells are one of the regulatory T cell subsets that are characterized by the production of high amount of IL-10 and lack of FOXP3 expression. Lymphocyte-activation gene 3 (LAG3) is a CD4 homologue molecule and we have previously reported that LAG3 is expressed on IL-10 producing regulatory T cells. However, naturally occurring Tr1 cells in human secondary lymphoid tissue have not been detected. We identified CD4+CD25-LAG3+ T cells in human tonsil. We compared mRNA expression of five CD4+ T cell subsets in tonsil using microarray analysis (CD4+CD25-LAG3+ T cells, CD4+CD25-CXCR5+PD-1+ follicular helper T cells (TFH), CD4+CD25+ T cells, CD4+CD25-LAG3-CD45RO+ cells and CD4+CD25-LAG3-CD45RO- cells). A human tonsil was obtained from a patient undergoing routine tonsillectomy, and five tonsillar CD4+ T cell subsets were sorted (each 1 x 10^5 cells). There is no biological replication.

2016-04-01 | E-GEOD-73927 | 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

Transcription profiling of mouse CD4+ CD25+, CD4+ CD25- CD45RBlow LAG3+ and CD4+ CD25- CD45RBlow LAG3- T cells

Project description:Comparison of gene expression profile of CD4+ CD25+, CD4+ CD25- CD45RBlow LAG3+ and CD4+ CD25- CD45RBlow LAG3- T cells. Naive CD4+CD25-CD45RBhigh T cells were used as a reference for pair comparison with values from the three other subsets.

2009-08-19 | E-MEXP-1343 | biostudies-arrayexpress

Comprehensive analysis of miRNA expression in T-cell subsets of Rheumatoid arthritis patients and healthy controls reveals defined miRNA signatures of naive and memory Tregs

Project description:Disturbed expression of microRNAs (miRNAs) in regulatory T-cells (Tregs) leads to development of autoimmunity in experimental mouse models. However, the miRNA expression signature characterizing Tregs of autoimmune diseases, such as rheumatoid arthritis (RA) has not been determined yet. Moreover, the technical limitations prevented the analysis of such minute T-cell population as naive and memory Tregs. In this study we have used a microarray approach to comprehensively analyze miRNA expression signatures of naive Tregs (CD4+CD45RO-CD25++), memory Tregs (CD4+CD45RO+CD25+++), as well as conventional naive (CD4+CD45RO-CD25-) and memory (CD4+CD45RO+CD25-) T-cells (Tconvs) derived from peripheral blood of RA patients, and matched healthy controls. Differential expression of selected miRNAs was validated by TaqMan-based qRT-PCR. We found a positive correlation between increased expression of miR-451 in T-cells of RA patients and disease activity score (DAS28), ESR levels, and serum levels of IL-6. Moreover, we found characteristic, disease and treatment independent, global miRNA expression signatures defining naive Tregs, memory Tregs, naive Tconvs and memory Tconvs. The analysis allowed us to define miRNAs characteristic for a general naive phenotype (e.g. miR-92a), a general memory phenotype (e.g. miR-21, miR-155), and most importantly miRNAs specifically expressed in both naive and memory Tregs, defining as such the Treg phenotype (i.e. miR-146a, miR-3162, miR-1202, miR-1246a, and miR-4281). MicroRNA profiling was performed in four CD4+ T-cell subsets: naive Tconventional (CD3+CD8-CD45RO-CD25-), naive Tregulatory (CD3+CD8-CD45RO-CD25+), memory Tconventional (CD3+CD8-CD45RO+CD25-), and memory Tregulatory (CD3+CD8-CD45RO+CD25+) derived from 2 healthy controls, and 6 rheumatoid arthritis patients (total n=8).

2014-01-22 | E-GEOD-50646 | biostudies-arrayexpress

Expression data from human effector CD4 T cells co-cultured with various Treg subsets sorted from human peripheral blood.

Project description:Teff cells (CD4+CD25-CD127+CD45RO+) were co-cultured with and without sorted Treg subsets plus dendritic cells for 18h. All the sorted Teff cells are gated on CD4+CD25-CD127(hi), and further sorted for CD45RO- and CD45RO+ phenotype.

2015-10-01 | GSE64180 | GEO

Expression data from Treg subsets sorted from healthy human peripheral blood

Project description:All the sorted Treg cells are gated on CD4+CD25+CD127(low), followed by gating on various subsets using markers indicated in the sample names. All the sorted Teff cells are gated on CD4+CD25-CD127(hi), and further sorted for CD45RO- and CD45RO+ phenotype.

2015-10-01 | GSE64176 | GEO

RNA-seq analysis of human antigen-specific type 1 regulatory T cells (Tr1)

Project description:Co-culture of human CD4+ T cells with allogeneeic tolerogenic dendritic cells (DC-10) results in a cell product, called T-allo10, enriched with alloantigen-specific type 1 regulatory T cells (Tr1 cells). CD49b+LAG3+ Tr1 cells and CD49b-LAG3- non-Tr1 cells (DN) were sorted from total T-allo10 cells, and their transcriptomes compared to parental CD4+ T cells, as well as to and control CD49b-LAG3- effector T cells (Teff) sorted from T-allo cells, which were made equivalently to T-allo10 except with using mature dendirtic cells instead of DC-10.

2021-10-27 | GSE160194 | GEO

Transcriptional analysis of human tonsil Tfh cells

Project description:Follicular helper CD4 T (Tfh) cells provide B cells with signals that are important for the generation of high-affinity Abs and immunological memory and, therefore, are critical for the protective immunity elicited by most human vaccines. In this study we sought to define the gene expression signature of bona fide GC Tfh and Tfh cells. The CD4+ T cell subsets CD45RO+CXCR5-, CD45RO+CXCR5int (Tfh cells), and CD45RO+CXCR5hi (GC Tfh cells) were isolated from 6 tonsil samples for gene expression analysis.

2013-11-12 | E-GEOD-50391 | biostudies-arrayexpress

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>

| phs000626 | dbGaP

DNA Methylation Analysis of Systemic Lupus Erythematosus

Project description:This study performed Illumina Methylation450 analysis of CD4+ T-cells, CD19+ B-cells and CD14+ Monocytes from lupus patients and controls. A validation cohort was further analyzed with the same platform using CD4+ T-cells, CD45RO-CD45RA+ naive T-cells, CD45RO+CD45RA- memory T-cells, and CD25+CD127- regulatory T-cells.

2014-07-10 | GSE59250 | GEO

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