Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Analysis of transcriptomes and open chromatin regions of sub-populations of human Tregs

ABSTRACT: Analysis of transcriptomes and open chromatin regions of sub-populations of human Tregs

PROVIDER: PRJNA489002 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Analysis of transcriptomes and open chromatin regions of sub-populations of human Tregs

Project description:This SuperSeries is composed of the SubSeries listed below.

2018-09-26 | GSE119375 | GEO

ATAC-seq data from naïve Tregs, memory Tregs and CD161+ Tregs

Project description:We analyze open chromatin regions of three populations of human Tregs

2018-09-26 | GSE119372 | GEO

Profiling open chromatin regions in human myometrial tissues

Project description:Profiling open chromatin regions in human myometrial tissues

| PRJNA565904 | ENA

Identification of open chromatin regions in mouse cardiopharyngeal mesoderm

Project description:Identification of open chromatin regions in mouse cardiopharyngeal mesoderm

| PRJNA726796 | ENA

Transcriptome analysis of naïve Tregs, memory Tregs and CD161+ Tregs

Project description:Transcriptome analysis of naïve Tregs, memory Tregs and CD161+ Tregs

| PRJNA489005 | ENA

Proteomic analysis of rest and activated Tregs

Project description:The aim of the project is to do proteomic analysis of total cell lysate from rest and activated mouse Tregs. The proteomic data were mapped to the Gene Ontology Cellular Component (GOCC)database to obtain the list of membrane proteins on activated Tregs. The set of membrane proteins identified were compared with the potential Siglec-1 counter-receptors on activated Tregs.

2021-04-28 | PXD022259 | Pride

Transcriptomic and open chromatin atlas of high-resolution anatomical regions in the rhesus macaque brain

Project description:Rhesus macaque is a prime model animal in neuroscience. A comprehensive transcriptomic and open chromatin atlas of the rhesus macaque brain is key to a deeper understanding of the brain. Here we characterize the transcriptome of 416 brain samples from 52 regions of 8 rhesus macaque brain. We identify gene modules associated with specific brain regions like the cerebral cortex, pituitary, and thalamus. In addition, we discover 9703 novel intergenic transcripts, including 1701 coding transcripts and 2845 lncRNAs. Most of the novel transcripts are only expressed in specific brain regions or cortical regions of specific individuals. We further survey the open chromatin regions in the hippocampal CA1 and several cerebral cortical regions of the rhesus macaque brain using ATAC-seq, revealing CA1- and cortex-specific open chromatin regions. Our results add to the growing body of knowledge regarding the baseline transcriptomic and open chromatin profiles in the brain of rhesus macaque.

2019-12-30 | GSE128537 | GEO

ATAC-seq data from naïve Tregs, memory Tregs and CD161+ Tregs

Project description:ATAC-seq data from naïve Tregs, memory Tregs and CD161+ Tregs

| PRJNA489004 | ENA

TIGIT+ Tregs

Project description:TIGIT+ Tregs suppress Th1 and Th17 responses while sparing Th2 responses. Analysis of global gene expression of TIGIT+ vs. TIGIT- Tregs from naive mice reveled that TIGIT+ Tregs display an activated phenotype and are enriched for Treg signature genes including the Treg effector molecule Fgl2 which enables them to selectively spare Th2 responses. TIGIT+ and TIGIT- Tregs were sorted from naïve Foxp3-GFP KI mice (pooled spleen and lymph nodes) TIGIT: T cell immunoreceptor with Ig and ITIM domains

2014-12-12 | E-GEOD-56299 | biostudies-arrayexpress

Profiling open chromatin regions in human myometrial tissues

Project description:The open chromatin regions of nonpregnant and term pregnant human myometrial tissues were assessed by ATAC-seq to gain insight on potential genome regulatory elements in vivo. patterns of accessible genome change between NP and TP myometrium, leading to altered enrichment of binding motifs for hormone and muscle regulators such as the progesterone receptor (PGR), Krüppel-like factors and MEF2A transcription factors.

2019-11-28 | GSE137549 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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