Zhou Jianyuan, Yu Haojie, Lou Chunhui, Yang Min, Li Yanshang, Yang Qian, Li Shuhan, Ji Chunwang, Li Song, Wang Shuang, Cao Haotian, Li Xuecang, Liu Lian
Department of Medical Oncology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
School of Medical Informatics, Harbin Medical University, Daqing Campus, Daqing, 163319, China.
Sci Rep. 2024 Dec 30;14(1):32012. doi: 10.1038/s41598-024-83686-9.
Master transcription factors (MTFs) activate gene expression in pluripotent embryonic stem cells (ESCs) by binding to enhancers and super-enhancers, which precisely control ESC fate. Compelling evidence reveals a strong correlation between the operation of MTFs and the initiation and progression of cancer. Nevertheless, the challenge of identifying MTFs imposes a barrier for researchers. Therefore, we developed a master transcription factors prediction and analysis web resource (MTFAP). MTFAP is a comprehensive web tool designed to predict and analyze MTFs with different data types. To enhance user experience and facilitate exploration of interest MTFs, MTFAP offers search and browse functionalities. Furthermore, we have developed a Docker file to empower users with the capability to conduct localized analyses Additionally, MTFAP extends support for further analysis and data visualization for the MTFs identified by Coltron and CRCmapper. The platform is freely available at http://www.xiejjlab.bio/MTFAP/.
主转录因子（MTFs）通过与增强子和超级增强子结合来激活多能胚胎干细胞（ESCs）中的基因表达，这些增强子和超级增强子精确控制着胚胎干细胞的命运。有力的证据表明，主转录因子的作用与癌症的发生和发展之间存在着密切的关联。然而，识别主转录因子的挑战给研究人员带来了障碍。因此，我们开发了一个主转录因子预测与分析网络资源（MTFAP）。MTFAP是一个综合性的网络工具，旨在利用不同的数据类型来预测和分析主转录因子。为了提升用户体验并便于探索感兴趣的主转录因子，MTFAP提供了搜索和浏览功能。此外，我们还开发了一个Docker文件，使用户能够进行本地化分析。此外，MTFAP还为Coltron和CRCmapper识别出的主转录因子提供了进一步分析和数据可视化的支持。该平台可在http://www.xiejjlab.bio/MTFAP/免费获取。
