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 MoreEpigenetic heterogeneity is emerging as a significant phenotypic feature of tumors. In diffuse large B-cell lymphomas (DLBCLs), increased cytosine methylation heterogeneity is associated with poor clinical outcome, yet the biological mechanisms driving epigenetic heterogeneity remain unclear. Activation-induced cytidine deaminase (AICDA), an enzyme that deaminates and facilitates demethylation of DNA methyl-cytosines in germinal center (GC) B-cells, is required for DLBCL pathogenesis and linked to inferior clinical outcomes. Here, we show that overexpression of AICDA causes more aggressive disease and worse outcome in BCL2-driven murine lymphomas. This phenotype was associated with significantly increased focal inter-tumor and intra-tumor cytosine methylation heterogeneity as compared to control lymphomas, but not with increased mutational burden. AICDA-mediated epigenetic heterogeneity was accompanied by DNA hypomethylation. Reciprocally, we observed that the focal inter-individual and intra-individual cytosine methylation heterogeneity characteristic of normal GC B-cells was lost upon depletion of AICDA. There was significant overlap of AICDA-induced methylation heterogeneity foci in GC B-cells and murine lymphomas. These observations are relevant to human patients, since DLBCLs with high AICDA expression likewise manifest extensive increases in focal inter-patient and intra-patient heterogeneity as compared to DLBCLs with low AICDA expression. Affected regions significantly overlapped with those found in murine AICDA-overexpressing lymphomas. Our results identify AICDA as a novel source of epigenetic plasticity and heterogeneity in B-cell lymphomas with potential significance for other tumors that express cytosine deaminases. SOURCE: Matt Teater (mrt2001@med.cornell.edu) - Weill Cornell Medical College
View on GEOView in PlutoEnhance 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 MoreUse 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 analysisView quality control data and experiment metadata for this experiment.
Request imports from GEO or TCGA directly within Pluto Bio.
Chat with our Scientific Insights team