Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Flicr, a long noncoding RNA modulating Foxp3 expression and autoimmunity

ABSTRACT: Microarray profiles of splenic Tregs and Tconvs from Flicr WT and KO mice

ORGANISM(S): Mus musculus

PROVIDER: GSE97048 | GEO | 2017/03/28

SECONDARY ACCESSION(S): PRJNA380599

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Flicr, a long noncoding RNA modulating Foxp3 expression and autoimmunity (ATAC-Seq)

Project description:ATAC-seq profiles of Tregs isolated from spleen and LN in Flicr WT and KO mice

2017-03-28 | GSE97085 | GEO

Flicr, a long noncoding RNA, modulates Foxp3 expression and autoimmunity.

Project description:A combination of transcription factors, enhancers, and epigenetic marks determines the expression of the key transcription factor FoxP3 in regulatory T cells (Tregs). Adding an additional layer of complexity, the long noncoding RNA (lncRNA) Flicr (Foxp3 long intergenic noncoding RNA) is a negative regulator that tunes Foxp3 expression, resulting in a subset of Tregs with twofold- to fivefold-lower levels of FoxP3 protein. The impact of Flicr is particularly marked in conditions of IL-2 deficiency, and, conversely, IL-2 represses Flicr expression. Flicr neighbors Foxp3 in mouse and human genomes, is specifically expressed in mature Tregs, and acts only in cis It does not affect DNA methylation, but modifies chromatin accessibility in the conserved noncoding sequence 3 (CNS3)/Accessible region 5 (AR5) region of Foxp3 Like many lncRNAs, Flicr's molecular effects are subtle, but by curtailing Treg activity, Flicr markedly promotes autoimmune diabetes and, conversely, restrains antiviral responses. This mechanism of FoxP3 control may allow escape from dominant Treg control during infection or cancer, at the cost of heightened autoimmunity.

| S-EPMC5410798 | biostudies-literature

Regulatory T cells from injured skeletal muscle

Project description:A phenotypically and functionally distinct population of CD4+ Foxp3+ T cells (Tregs) rapidly accumulates in acutely injured skeletal muscle of mice, just as invading myeloid-lineage cells switch from a pro-inflammatory to a pro-regenerative state. Analysis of gene expression of Tregs and CD4+Foxp3- T cells (Tconvs) from injured muscle and spleen revealed that the transcriptome of muscle Treg cells is distinct from that of splenic Tregs. A set of genes is uniquely expressed by muscle Tregs, while another set is over-expressed by the two muscle populations vis-à-vis their two spleen counterparts. 6 wk-old Foxp3-ires-GFP mice were injured in skeletal muscles with cardiotoxin. Four and fourteen days later, Tregs and Tconvs from spleen and muscle were double-sorted into Trizol. To reduce variability, cells from multiple mice were pooled for sorting, and three replicates were generated for all groups. RNA from 1.5-2.5 x 104 cells was amplified, labeled, and hybridized to Affymetrix Mouse Gene 1.0 ST Arrays.

2013-12-15 | E-GEOD-50096 | biostudies-arrayexpress

Protection against autoimmunity is driven by thymic epithelial cell-mediated regulation of Treg development

Project description:Thymic education of Tregs is superior to negative selection in the prevention of autoimmunity. To address this hypothesis, TCR repertoires of thymic and peripheral Tcells (including Tregs) from conditional NIK KO and WT mice have been sequenced and compared.

2021-11-18 | GSE182535 | GEO

Protection against autoimmunity is driven by thymic epithelial cell-mediated regulation of Treg development

Project description:Thymic education of Tregs is superior to negative selection in the prevention of autoimmunity. To address this hypothesis, TCR repertoirs of thymic and peripheral Tcells (including Tregs) from conditional NIK KO and WT mice have been sequenced and compared.

2021-11-18 | GSE174733 | GEO

Profiling of naÃ¯ve and memory Tregs

Project description:Changes in Treg function are difficult to quantify due to the lack of Treg-exclusive markers in humans and the complexity of functional experiments. We sorted naive and memory human Tregs and conventional T cells, and identified genes that identify human Tregs regardless of their state of activation. We developed this Treg signature using Affymetrix human genome U133A 2.0 microarrays. To generate Tregs and Tconvs in multiple states of activation, naÃ¯ve (CD4+CD25hiCD45RA+) and memory (CD4+CD25hiCD45RA-) Tregs, and naÃ¯ve (CD4+CD25-CD45RA+) and memory (CD4+CD25-CD45RA-) Tconvs were sorted from blood of 7 healthy adults and RNA was isolated ex vivo or after stimulation for 40h, promoting activation-induced FOXP3 in Tconvs. The gene-expression profile of the eight cell subsets was analyzed. 7 adult healthy control samples were sorted into 4 subsets: naÃ¯ve (CD4+CD25hiCD45RA+) and memory (CD4+CD25hiCD45RA-) Tregs, and naÃ¯ve (CD4+CD25-CD45RA+) and memory (CD4+CD25-CD45RA-) Tconvs. These were used for RNA ex vivo and after 40h stimulation with anti-CD3/CD28 beads to induce an activation phenotype.

2016-01-19 | E-GEOD-76598 | biostudies-arrayexpress

Transcriptional Analysis of Foxp3+ Regulatory T Cells in Experimental Acute Lung Injury Resolution

Project description:These studies profiled the expression of mRNA in lung and spleen regulatory T cells in Foxp3EGFP mice during lipopolysaccharide-induced lung injury. Baseline, uninjured Lung Treg and Resolving Lung Tregs and Resolving Splenic Tregs were sorted (7 days after intratracheal instillation of LPS for Resolving conditions) and mRNAs differentially expressed (DE) between Control Lung Tregs, Resolving Lung Tregs and Resolving Splenic Tregs samples were identified using microarrays.

2019-02-12 | GSE104088 | GEO

Regulatory T cells from injured skeletal muscle

2013-12-15 | GSE50096 | GEO

Mus musculus

Project description:MOG KO Tregs versus WT Tregs

| PRJNA314980 | ENA

Single-cell RNAseq (10x Genomics) analysis of mouse splenic CD4+ T cells in WT and ∆Foxp3 mice and in WT/∆Foxp3 bone marrow chimeras

Project description:Single-cell RNAseq (10x Genomics) analysis of mouse splenic CD4+ T cells in WT and ∆Foxp3 mice and in WT/∆Foxp3 bone marrow chimeras. Mouse CD4+T cells in 21-day-old male WT and ∆Foxp3 mice were isolated from spleen by flow cytometry as DAPI–TCRβ+CD4+ cells for 10x Genomics Single Cell 3′ Reagent Kit (V2 chemistry, one sample per channel). For bone marrow chimera experiment: 7 week-old CD45.2-recipient mice were irradiated with 1000 Rad, reconstituted with 4 million CD3-depleted bone marrow cells: 50% CD45.1 x Foxp3-IRES-GFP (WT, 21d-old male) and 50% Foxp3DeltaEGFPiCre/RFP x ROSA-YFP x CD45.1/2 (scurfy, 21d-old male). 10 weeks later, spleen were harvested and tagged using a different Hashtags fo each mouse. ∆Foxp3 CD4+ T cells were sorted as DAPI–TCRb+CD4+CD45.1+CD45.2+. WT CD4+ T cells were sorted as DAPI–TCRb+CD4+CD45.1+CD45.2–. Control WT DAPI–TCRb+CD4+GFP+ Treg cells and GFP- Tconvs cells were also tagged and sorted. Samples with different hastags were pooled before single cell encapsulation using 10x Genomics Single Cell 3′ Reagent Kit (V3 chemistry).

2021-02-26 | GSE167575 | 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