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Taiji: System-level identification of key transcription factors reveals transcriptional waves in mouse embryonic development

机译:太极:关键转录因子的系统级鉴定揭示了小鼠胚胎发育中的转录波

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摘要

Transcriptional regulation is pivotal to the specification of distinct cell types during embryonic development. However, it still lacks a systematic way to identify key transcription factors (TFs) orchestrating the temporal and tissue specificity of gene expression. Here, we integrated epigenomic and transcriptomic data to reveal key regulators from two cells to postnatal day 0 in mouse embryogenesis. We predicted three-dimensional chromatin interactions in 12 tissues across eight developmental stages, which facilitates linking TFs to their target genes for constructing transcriptional regulatory networks. To identify driver TFs, we developed a new algorithm, dubbed Taiji, to assess the global influence of each TF and systematically uncovered TFs critical for lineage-specific and stage-dependent tissue specification. We have also identified TF combinations that function in spatiotemporal order to form transcriptional waves regulating developmental progress. Furthermore, lacking stage-specific TF combinations suggests a distributed timing strategy to orchestrate the coordination between tissues during embryonic development.
机译:转录调控对于胚胎发育过程中不同细胞类型的规范至关重要。但是,它仍然缺乏系统的方法来鉴定协调基因表达的时间和组织特异性的关键转录因子(TF)。在这里,我们整合了表观基因组学和转录组学数据,以揭示小鼠胚胎发生过程中从两个细胞到出生后第0天的关键调控因子。我们预测了跨越八个发育阶段的12个组织中的三维染色质相互作用,这有助于将TF连接到其靶基因,以构建转录调控网络。为了识别驱动器TF,我们开发了一种称为Taiji的新算法,以评估每个TF的全局影响以及系统地发现的对于谱系特异性和阶段依赖性组织规格至关重要的TF。我们还确定了以时空顺序起作用的TF组合,形成调节发育进程的转录波。此外,缺乏特定于阶段的TF组合建议在胚胎发育过程中采用分布式定时策略来协调组织之间的协调。

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