Systems-level identification of transcription factors critical for mouse embryonic development

Abstract

Dynamic changes in the transcriptional regulatory circuit can influence the specification of distinct cell types. Numerous transcription factors (TFs) have been shown to function through dynamic rewiring during embryonic development but a comprehensive survey on the global regulatory network is still lacking. Here, we performed an integrated analysis of epigenomic and transcriptomic data to reveal key regulators from 2 cells to postnatal day 0 in mouse embryogenesis. We predicted 3D chromatin interactions including enhancer-promoter interactions in 12 tissues across 8 developmental stages, which facilitates linking TFs to their target genes for constructing genetic networks. To identify driver TFs particularly those not necessarily differentially expressed ones, we developed a new algorithm, dubbed as Taiji, to assess the global importance of TFs in development. Through comparative analysis across tissues and developmental stages, we systematically uncovered TFs that are critical for lineage-specific and stage-dependent tissue specification. Most interestingly, we have identified TF combinations that function in spatiotemporal order to form transcriptional waves regulating developmental progress and differentiation. Not only does our analysis provide the first comprehensive map of transcriptional regulatory circuits during mouse embryonic development, the identified novel regulators and the predicted 3D chromatin interactions also provide a valuable resource to guide further mechanistic studies.