PLX177465

GSE84022: BCL6-centric reorganization of the genome during B cell affinity maturation

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

During the humoral immune response mature B-cells undergo a dramatic change in phenotype to enable antibody affinity maturation in germinal centers (GCs). Here, we observe for the first time that these phenotypic changes are accompanied by large-scale reorganization of the genomic architecture that encodes the GCB-cell transcriptional program. The coordinate expression of genes that specify the GCB-cell phenotype most prominently, BCL6 is achieved through a non-random, multilayered, chromatin reorganization process involving i) increased promoter connectivity, ii) formation of higher-order enhancer networks, iii) 5 to 3 gene looping, and iv) merging of gene neighborhoods that share active epigenetic marks. These cell-specific events are closely linked to binding of GC transcription factors and the structural proteins CTCF and cohesin. The gene encoding the GC master regulator, BCL6, is an anchor point for the formation of GC-specific gene and enhancer loops on chromosome 3. Furthermore, through CRISPR-mediated knockout we demonstrate that a putative locus control region upstream of Bcl6 is required for GCB-cell formation in mice. Thus, architectural reorganization of phenotype-driving gene sets, including assembly of cell type-specific promoter and enhancer networks, may be key to controlling tissue-specific gene expression programs. SOURCE: David Soong Weill Cornell Medical College

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