In Computational and structural biotechnology journal
Glucocorticoids are potent immunosuppressive drugs, but long-term treatment leads to severe side-effects. While there is a commonly accepted model for GR-mediated gene activation, the mechanism behind repression remains elusive. Understanding the molecular action of the glucocorticoid receptor (GR) mediated gene repression is the first step towards developing novel therapies. We devised an approach that combines multiple epigenetic assays with 3D chromatin data to find sequence patterns predicting gene expression change. We systematically tested> 100 models to evaluate the best way to integrate the data types and found that GR-bound regions hold most of the information needed to predict the polarity of Dex-induced transcriptional changes. We confirmed NF-κB motif family members as predictors for gene repression and identified STAT motifs as additional negative predictors.
Höllbacher Barbara, Strickland Benjamin, Greulich Franziska, Uhlenhaut N Henriette, Heinig Matthias
2023
ChIPseq, ChIPseq, chromatin immunoprecipitation sequencing, Epigenomics, Glucocorticoid receptor, Machine-learning, RNAseq, Repression, STAT, STAT, signal transducer and activator of transcription
