Department of Biology, Boston University, Boston, MA 02215, USA.
Bioinformatics Program, Boston University, Boston, MA 02215, USA.
Nucleic Acids Res. 2020 Dec 2;48(21):12055-12073. doi: 10.1093/nar/gkaa1055.
Proper cytokine gene expression is essential in development, homeostasis and immune responses. Studies on the transcriptional control of cytokine genes have mostly focused on highly researched transcription factors (TFs) and cytokines, resulting in an incomplete portrait of cytokine gene regulation. Here, we used enhanced yeast one-hybrid (eY1H) assays to derive a comprehensive network comprising 1380 interactions between 265 TFs and 108 cytokine gene promoters. Our eY1H-derived network greatly expands the known repertoire of TF-cytokine gene interactions and the set of TFs known to regulate cytokine genes. We found an enrichment of nuclear receptors and confirmed their role in cytokine regulation in primary macrophages. Additionally, we used the eY1H-derived network as a framework to identify pairs of TFs that can be targeted with commercially-available drugs to synergistically modulate cytokine production. Finally, we integrated the eY1H data with single cell RNA-seq and phenotypic datasets to identify novel TF-cytokine regulatory axes in immune diseases and immune cell lineage development. Overall, the eY1H data provides a rich resource to study cytokine regulation in a variety of physiological and disease contexts.
细胞因子基因的正确表达对于发育、稳态和免疫反应至关重要。对细胞因子基因转录调控的研究主要集中在研究充分的转录因子 (TFs) 和细胞因子上,因此对细胞因子基因调控的描述并不完整。在这里,我们使用增强型酵母单杂交 (eY1H) 测定法,构建了一个包含 265 个 TF 和 108 个细胞因子基因启动子之间的 1380 个相互作用的综合网络。我们的 eY1H 衍生网络大大扩展了已知的 TF-细胞因子基因相互作用谱,以及已知调节细胞因子基因的 TF 集。我们发现核受体富集,并在原代巨噬细胞中证实了它们在细胞因子调节中的作用。此外,我们还使用 eY1H 衍生网络作为框架,鉴定了可以用市售药物靶向的 TF 对,以协同调节细胞因子的产生。最后,我们将 eY1H 数据与单细胞 RNA-seq 和表型数据集进行整合,以鉴定免疫疾病和免疫细胞谱系发育中新型的 TF-细胞因子调控轴。总之,eY1H 数据为研究各种生理和疾病背景下的细胞因子调控提供了丰富的资源。