Bartas Martin, Petrovič Michal, Brázda Václav, Trenz Oldřich, Ďurčanský Aleš, Šťastný Jiří
Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic.
Department of Informatics, Mendel University in Brno, Brno, Czech Republic.
J Biol Chem. 2025 Apr 24;301(6):108537. doi: 10.1016/j.jbc.2025.108537.
With continuous advances in DNA sequencing methods, accessibility to high-quality genomic information for all living organisms is ever-increasing. However, to interpret this information effectively and formulate hypotheses, users often require higher level programming skills. Therefore, the generation of web-based tools is becoming increasingly popular. CpG island regions in genomes are often found in gene promoters and are prone to DNA methylation, with their methylation status determining if a gene is expressed. Notably, understanding the biological impact of CpX modifications on genomic regulation is becoming increasingly important as these modifications have been associated with diseases such as cancer and neurodegeneration. However, there is currently no easy-to-use, scalable tool to detect and quantify CpX islands in full genomes. We have developed a Java-based web server for CpX island analyses that benefits from the DNA Analyzer Web server environment and overcomes several limitations. For a pilot demonstration study, we selected a well-described model organism Drosophila melanogaster. Subsequent analysis of the obtained CpX islands revealed several interesting and previously undescribed phenomena. One of them is the fact, that nearly half of long CpG islands were located on chromosome X, and that long CpA and CpT islands were significantly overrepresented at the subcentromeric regions of autosomes (chr2 and chr3) and also on chromosome Y. Wide genome overlays of predicted CpX islands revealed their co-occurrence with various (epi)genomics features comprising cytosine methylations, accessible chromatin, transposable elements, or binding of transcription factors and other proteins. CpX Hunter is freely available as a web tool at: https://bioinformatics.ibp.cz/#/analyse/cpg.
随着DNA测序方法的不断进步,所有生物获取高质量基因组信息的机会日益增加。然而,为了有效解读这些信息并提出假设,用户通常需要更高水平的编程技能。因此,基于网络的工具的开发越来越受欢迎。基因组中的CpG岛区域常出现在基因启动子中,且易于发生DNA甲基化,其甲基化状态决定基因是否表达。值得注意的是,了解CpX修饰对基因组调控的生物学影响变得越来越重要,因为这些修饰与癌症和神经退行性疾病等疾病有关。然而,目前尚无一种易于使用、可扩展的工具来检测和量化全基因组中的CpX岛。我们开发了一个基于Java的用于CpX岛分析的网络服务器,它受益于DNA分析仪网络服务器环境并克服了几个限制。在一项试点示范研究中,我们选择了一种描述详尽的模式生物——黑腹果蝇。对获得的CpX岛的后续分析揭示了几个有趣且此前未描述的现象。其中之一是,近一半的长CpG岛位于X染色体上,长CpA和CpT岛在常染色体(chr2和chr3)的亚着丝粒区域以及Y染色体上显著富集。预测的CpX岛的全基因组覆盖显示它们与各种(表观)基因组特征共同出现,包括胞嘧啶甲基化、可及染色质、转座元件或转录因子及其他蛋白质的结合。CpX Hunter作为一个网络工具可在以下网址免费获取:https://bioinformatics.ibp.cz/#/analyse/cpg 。