Division of Pulmonary Biology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
BMC Genomics. 2010 Jul 26;11:451. doi: 10.1186/1471-2164-11-451.
Pulmonary surfactant is required for lung function at birth and throughout life. Lung lipid and surfactant homeostasis requires regulation among multi-tiered processes, coordinating the synthesis of surfactant proteins and lipids, their assembly, trafficking, and storage in type II cells of the lung. The mechanisms regulating these interrelated processes are largely unknown.
We integrated mRNA microarray data with array independent knowledge using Gene Ontology (GO) similarity analysis, promoter motif searching, protein interaction and literature mining to elucidate genetic networks regulating lipid related biological processes in lung. A Transcription factor (TF)-target gene (TG) similarity matrix was generated by integrating data from different analytic methods. A scoring function was built to rank the likely TF-TG pairs. Using this strategy, we identified and verified critical components of a transcriptional network directing lipogenesis, lipid trafficking and surfactant homeostasis in the mouse lung.
Within the transcriptional network, SREBP, CEBPA, FOXA2, ETSF, GATA6 and IRF1 were identified as regulatory hubs displaying high connectivity. SREBP, FOXA2 and CEBPA together form a common core regulatory module that controls surfactant lipid homeostasis. The core module cooperates with other factors to regulate lipid metabolism and transport, cell growth and development, cell death and cell mediated immune response. Coordinated interactions of the TFs influence surfactant homeostasis and regulate lung function at birth.
肺表面活性剂是出生后和整个生命周期肺部功能所必需的。肺脂质和表面活性剂的动态平衡需要多层次过程之间的调节,协调表面活性剂蛋白和脂质的合成、它们的组装、运输和在肺的 II 型细胞中的储存。调节这些相互关联的过程的机制在很大程度上是未知的。
我们使用基因本体论(GO)相似性分析、启动子基序搜索、蛋白质相互作用和文献挖掘,将 mRNA 微阵列数据与独立于阵列的知识进行整合,以阐明调节肺中脂质相关生物学过程的遗传网络。通过整合来自不同分析方法的数据,生成了转录因子(TF)-靶基因(TG)相似性矩阵。建立了一个评分函数来对可能的 TF-TG 对进行排名。使用这种策略,我们确定并验证了指导小鼠肺中脂肪生成、脂质转运和表面活性剂动态平衡的转录网络的关键组成部分。
在转录网络中,SREBP、CEBPA、FOXA2、ETSf、GATA6 和 IRF1 被鉴定为具有高连接性的调节枢纽。SREBP、FOXA2 和 CEBPA 共同形成一个共同的核心调节模块,控制表面活性剂脂质动态平衡。该核心模块与其他因素合作调节脂质代谢和转运、细胞生长和发育、细胞死亡和细胞介导的免疫反应。TFs 的协调相互作用影响表面活性剂的动态平衡,并调节出生时的肺功能。