PLX067696

GSE101730: The histone methyltransferase G9a is required for silencing of helper lineage genes in CD8+ T cells

  • Organsim mouse
  • Type RNASEQ
  • Target gene
  • Project ARCHS4

During a binary cell fate decision, a progeny silences the gene expression program associated with the alternative fate. Helper versus cytotoxic lineage decision in the thymus has been studied as a model for gene silencing of alternative lineage genes, including Cd4. While RUNX3 is required for the initiation of Cd4 silencing, it remains unknown how silenced states of Cd4 and other helper lineage genes are maintained. We show that the histone methyltransferase G9a is necessary for heritable silencing of Cd4 and other helper lineage genes in CD8 T cells. Despite normal Cd4 downregulation during the development, G9a-deficient CD8 T cells fail to maintain silencing of helper lineage genes when they repeatedly divide under non-inflammatory conditions. However, Cd4 depression is prevented during division driven by elevated TCR signaling and an inflammatory cytokine signaling. These results reveal the requirement for G9a in silencing of helper lineage genes in CD8 T cells and also suggest that CD8 T cells employ an alternative mechanism to maintain their cellular identity during immune responses. SOURCE: Takeshi Egawa (tegawa@wustl.edu) - Washington University School of Medicine

View on GEOView in Pluto

Key Features

Enhance your research with our curated data sets and powerful platform features. Pluto Bio makes it simple to find and use the data you need.

Learn More

14K+ Published Experiments

Access an extensive range of curated bioinformatics data sets, including genomic, transcriptomic, and proteomic data.

Easy Data Import

Request imports from GEO or TCGA directly within Pluto Bio. Seamlessly integrate external data sets into your workflow.

Advanced Search Capabilities

Utilize powerful search tools to quickly find the data sets relevant to your research. Filter by type, disease, gene, and more.

Analyze and visualize data for this experiment

Use Pluto's intuitive interface to analyze and visualize data for this experiment. Pluto's platform is equipped with an API & SDKs, making it easy to integrate into your internal bioinformatics processes.

Read about post-pipeline analysis

View QC data and experiment metadata

View quality control data and experiment metadata for this experiment.

Request import of other GEO data

Request imports from GEO or TCGA directly within Pluto Bio.

Chat with our Scientific Insights team