Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152, Martinsried, Germany.
Aix-Marseille University, CNRS, IBDM UMR 7288, The Turing Centre for Living systems (CENTURI), Aix-Marseille University, Parc Scientifique de Luminy Case 907, 163, Avenue de Luminy, 13009, Marseille, France.
Sci Rep. 2021 Jul 29;11(1):15463. doi: 10.1038/s41598-021-94805-1.
Gene expression regulation requires precise transcriptional programs, led by transcription factors in combination with epigenetic events. Recent advances in epigenomic and transcriptomic techniques provided insight into different gene regulation mechanisms. However, to date it remains challenging to understand how combinations of transcription factors together with epigenetic events control cell-type specific gene expression. We have developed the AnnoMiner web-server, an innovative and flexible tool to annotate and integrate epigenetic, and transcription factor occupancy data. First, AnnoMiner annotates user-provided peaks with gene features. Second, AnnoMiner can integrate genome binding data from two different transcriptional regulators together with gene features. Third, AnnoMiner offers to explore the transcriptional deregulation of genes nearby, or within a specified genomic region surrounding a user-provided peak. AnnoMiner's fourth function performs transcription factor or histone modification enrichment analysis for user-provided gene lists by utilizing hundreds of public, high-quality datasets from ENCODE for the model organisms human, mouse, Drosophila and C. elegans. Thus, AnnoMiner can predict transcriptional regulators for a studied process without the strict need for chromatin data from the same process. We compared AnnoMiner to existing tools and experimentally validated several transcriptional regulators predicted by AnnoMiner to indeed contribute to muscle morphogenesis in Drosophila. AnnoMiner is freely available at http://chimborazo.ibdm.univ-mrs.fr/AnnoMiner/ .
基因表达调控需要精确的转录程序,由转录因子与表观遗传事件共同主导。近年来,表观基因组学和转录组学技术的进步为理解不同的基因调控机制提供了线索。然而,迄今为止,理解转录因子与表观遗传事件如何共同控制细胞类型特异性基因表达仍然具有挑战性。我们开发了 AnnoMiner 网络服务器,这是一种创新且灵活的工具,用于注释和整合表观遗传和转录因子占据数据。首先,AnnoMiner 用基因特征注释用户提供的峰。其次,AnnoMiner 可以整合来自两个不同转录调节剂的基因组结合数据以及基因特征。第三,AnnoMiner 提供了一种方法来探索附近基因或用户提供的峰周围指定基因组区域内基因的转录失调。AnnoMiner 的第四个功能是通过利用来自人类、小鼠、果蝇和秀丽隐杆线虫等模式生物的数百个高质量 ENCODE 公共数据集,对用户提供的基因列表进行转录因子或组蛋白修饰富集分析。因此,AnnoMiner 可以预测研究过程中的转录调节剂,而无需严格要求来自同一过程的染色质数据。我们将 AnnoMiner 与现有工具进行了比较,并通过实验验证了 AnnoMiner 预测的几个转录调节剂确实有助于果蝇的肌肉形态发生。AnnoMiner 可免费在 http://chimborazo.ibdm.univ-mrs.fr/AnnoMiner/ 获得。