Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Characterization of mouse naive CD4 T cells as a function of age

ABSTRACT: Characterization of mouse naive CD4 T cells as a function of age

PROVIDER: PRJNA872184 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Characterization of mouse naive CD4 T cells as a function of age

Project description:Naive CD4 T cells from aged mice exhibit an altered transcriptional signature

2023-06-21 | GSE211827 | GEO

RNA sequencing of primary Naive CD4+ T cells and Activated Naive CD4+ T cells

Project description:RNA sequencing of the chromatin associated RNA and nucleoplasm associated RNA of Naive CD4+ T cells to identify novel chromatin associated RNAs containing TEs. RNA sequencing of Naive CD4+ T cells or Activated Naive CD4+ T cells treated with Scr or LINE1 antisense oligonucleotides (ASO).

2021-10-20 | E-MTAB-9574 | biostudies-arrayexpress

BLUEPRINT EpiVar RNA-seq for Naive naive CD4+ T-cells

Project description:BLUEPRINT EpiVar RNA-seq for Naive naive CD4+ T-cells

| EGAS00001000752 | EGA

RNA sequencing of primary Naive CD4+ T cells and Activated Naive CD4+ T cells

Project description:RNA sequencing of primary Naive CD4+ T cells and Activated Naive CD4+ T cells

| PRJEB41930 | ENA

ChIP sequencing on human, circulating, ex vivo isolated Naive CD4+ T cells and Naive Activated CD4+ T cells

Project description:H3K36me3 ChIP sequencing performed on circulating ex vivo isolated CD4+ Naive T cells and Activated CD4+ Naive T cells

2021-10-20 | E-MTAB-9572 | biostudies-arrayexpress

Naive CD4+ T cell activation transcriptome

Project description:Naive CD4+ T cell activation transcriptome

| PRJNA171178 | ENA

Calcium-mediated shaping of naive CD4 T cell phenotype and function

Project description:Continuous contact with self-major histocompatibility complex ligands is essential for the survival of naive CD4 T cells. We have previously shown that the resulting tonic TCR signaling also influences their fate upon activation by increasing their ability to differentiate into induced regulatory T cells. To decipher the molecular mechanisms governing this process, microarray data comparing highly (Ly-6C-) and lowly (Ly-6C+) Self-reactive naive CD4 T cells were obtained.

2017-12-28 | GSE97477 | GEO

Characterization of naive CD4 T cells deficient for Foxo1 expression in T cells

Project description:Characterization of naive CD4 T cells deficient for Foxo1 expression in T cells

| PRJNA870037 | ENA

Characterization of naive CD4 T cells deficient for Foxo1 expression in T cells

Project description:Naive CD4 T cells lacking Foxo1 expression exhibit an altered transcriptional signature.

2023-06-21 | GSE211365 | GEO

Puniya2021 - Naive CD4+ T cell metabolic model

Project description:CD4+ T cells are critical components in the human immune system. They produce cytokines to fight against pathogens and abnormal cells and stimulate other cells, such as B cells, macrophages, and neutrophils, to generate an immune response. Naive CD4+ T cells are precursor cells that can differentiate into T helper - 1, - 2, - 17 (Th1, Th2, Th17) and regulatory T cells (Tregs) subtypes based on the type of pathogens or disease. The naive CD4+ T cell model consists of 5179 reactions, 3153 metabolites, and 1055 genes. Together with Th1, Th2, and Th17 models, the naive CD4+ T cell model helped identify drug targets and repurposable drugs against autoimmune diseases.

2023-11-27 | MODEL1909260003 | BioModels

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