Kalyani Ruthala, Lee Ji-Yeon, Min Hyehyun, Yoon Heejei, Kim Myoung Hee
Department of Anatomy, Embryology Lab., Brain Korea 21 PLUS Project for Medical Science, Yonsei University College of Medicine, Seoul 03722, Korea.
Samsung Biomedical Research Institute, Sungkyunkwan University School of Medicine, Seoul 06351, Korea.
Mol Cells. 2016 May 31;39(5):395-402. doi: 10.14348/molcells.2016.2311. Epub 2016 Mar 30.
Identifying Hoxc8 target genes is at the crux of understanding the Hoxc8-mediated regulatory networks underlying its roles during development. However, identification of these genes remains difficult due to intrinsic factors of Hoxc8, such as low DNA binding specificity, context-dependent regulation, and unknown cofactors. Therefore, as an alternative, the present study attempted to test whether the roles of Hoxc8 could be inferred by simply analyzing genes frequently coexpressed with Hoxc8, and whether these genes include putative target genes. Using archived gene expression datasets in which Hoxc8 was differentially expressed, we identified a total of 567 genes that were positively coexpressed with Hoxc8 in at least four out of eight datasets. Among these, 23 genes were coexpressed in six datasets. Gene sets associated with extracellular matrix and cell adhesion were most significantly enriched, followed by gene sets for skeletal system development, morphogenesis, cell motility, and transcriptional regulation. In particular, transcriptional regulators, including paralogs of Hoxc8, known Hox co-factors, and transcriptional remodeling factors were enriched. We randomly selected Adam19, Ptpn13, Prkd1, Tgfbi, and Aldh1a3, and validated their coexpression in mouse embryonic tissues and cell lines following TGF-β2 treatment or ectopic Hoxc8 expression. Except for Aldh1a3, all genes showed concordant expression with that of Hoxc8, suggesting that the coexpressed genes might include direct or indirect target genes. Collectively, we suggest that the coexpressed genes provide a resource for constructing Hoxc8-mediated regulatory networks.
识别Hoxc8靶基因是理解Hoxc8在发育过程中所起作用的潜在调控网络的关键所在。然而,由于Hoxc8的内在因素,如低DNA结合特异性、依赖上下文的调控以及未知的辅助因子,这些基因的识别仍然困难重重。因此,作为一种替代方法,本研究试图测试是否可以通过简单分析经常与Hoxc8共表达的基因来推断Hoxc8的作用,以及这些基因是否包括假定的靶基因。利用存档的基因表达数据集(其中Hoxc8存在差异表达),我们总共识别出567个基因,这些基因在八个数据集中至少有四个与Hoxc8呈正共表达。其中,23个基因在六个数据集中共表达。与细胞外基质和细胞黏附相关的基因集富集最为显著,其次是骨骼系统发育、形态发生、细胞运动和转录调控的基因集。特别是,转录调节因子,包括Hoxc8的旁系同源物、已知的Hox辅助因子和转录重塑因子都得到了富集。我们随机选择了Adam19、Ptpn13、Prkd1、Tgfbi和Aldh1a3,并在TGF-β2处理或异位表达Hoxc8后,在小鼠胚胎组织和细胞系中验证了它们的共表达。除Aldh1a3外,所有基因的表达都与Hoxc8一致,这表明共表达的基因可能包括直接或间接的靶基因。总体而言,我们认为共表达的基因提供了构建Hoxc8介导的调控网络的资源。