Behdani Elham, Bakhtiarizadeh Mohammad Reza
Department of Animal Sciences, College of Agriculture and Natural Resources, Ramin University, Khozestan, Iran.
Department of Animal and Poultry Science, College of Aburaihan, University of Tehran, Tehran, Iran.
Genetica. 2017 Oct;145(4-5):441-454. doi: 10.1007/s10709-017-9980-z. Epub 2017 Aug 20.
The immune system is an important biological system that is negatively impacted by stress. This study constructed an integrated regulatory network to enhance our understanding of the regulatory gene network used in the stress-related immune system. Module inference was used to construct modules of co-expressed genes with bovine leukocyte RNA-Seq data. Transcription factors (TFs) were then assigned to these modules using Lemon-Tree algorithms. In addition, the TFs assigned to each module were confirmed using the promoter analysis and protein-protein interactions data. Therefore, our integrated method identified three TFs which include one TF that is previously known to be involved in immune response (MYBL2) and two TFs (E2F8 and FOXS1) that had not been recognized previously and were identified for the first time in this study as novel regulatory candidates in immune response. This study provides valuable insights on the regulatory programs of genes involved in the stress-related immune system.
免疫系统是一个重要的生物系统，会受到压力的负面影响。本研究构建了一个综合调控网络，以加深我们对压力相关免疫系统中使用的调控基因网络的理解。使用模块推理从牛白细胞RNA测序数据构建共表达基因模块。然后使用Lemon-Tree算法将转录因子（TFs）分配到这些模块中。此外，利用启动子分析和蛋白质-蛋白质相互作用数据对分配到每个模块的TFs进行了确认。因此，我们的综合方法鉴定出了三个TFs，其中一个TF（MYBL2）先前已知参与免疫反应，另外两个TF（E2F8和FOXS1）此前未被识别，在本研究中首次被鉴定为免疫反应中的新型调控候选因子。本研究为压力相关免疫系统中涉及的基因调控程序提供了有价值的见解。
