ABSTRACT
Temporal data on gene expression and context-specific open chromatin states can improve identification of key transcription factors (TFs) and the gene regulatory networks (GRNs) controlling cellular differentiation. However, their integration remains challenging. Here, we delineate a general approach for data-driven and unbiased identification of key TFs and dynamic GRNs, called EPIC-DREM. We generated time-series transcriptomic and epigenomic profiles during differentiation of mouse multipotent bone marrow stromal cells (MSCs) towards adipocytes and osteoblasts. Using our novel approach we constructed time-resolved GRNs for both lineages. To prioritize the identified shared regulators, we mapped dynamic super-enhancers in both lineages and associated them to target genes with correlated expression profiles. We identified aryl hydrocarbon receptor (AHR) and Glis family zinc finger 1 (GLIS1) as mesenchymal key TFs controlled by dynamic MSC-specific super-enhancers that become repressed in both lineages. AHR and GLIS1 control differentiation-induced genes and we propose they function as guardians of mesenchymal multipotency.
Footnotes
Deborah.Gerard{at}uni.lu; fschmidt{at}mmci.uni-saarland.de; Aurelien.Ginolhac{at}uni.lu; Martine.Schmitz{at}uni.lu; Rashi.Halder{at}uni.lu; pebert{at}mpi-inf.mpg.de; mschulz{at}mmci.uni-saarland.de; Thomas.Sauter{at}uni.lu; Lasse.Sinkkonen{at}uni.lu