Feng Chenchen, Song Chao, Jiang Yong, Zhao Jun, Zhang Jian, Wang Yuezhu, Yin Mingxue, Zhu Jiang, Ai Bo, Wang Qiuyu, Qian Fengcui, Zhang Yuexin, Shang Desi, Liu Jiaqi, Li Chunquan
School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
The First Affiliated Hospital, Institute of Cardiovascular Disease, Hengyang Medical School, University of South China, Hengyang, Hunan 421001, China.
Mol Ther Nucleic Acids. 2023 Mar 24;32:385-401. doi: 10.1016/j.omtn.2023.03.014. eCollection 2023 Jun 13.
A core transcription regulatory circuitry (CRC) is an interconnected self-regulatory circuitry that is formed by a group of core transcription factors (TFs). These core TFs collectively regulate gene expression by binding not only to their own super enhancers (SEs) but also to the SEs of one another. For most human tissue/cell types, a global view of CRCs and core TFs has not been generated. Here, we identified numerous CRCs using two identification methods and detailed the landscape of the CRCs driven by SEs in large cell/tissue samples. The comprehensive biological analyses, including sequence conservation, CRC activity and genome binding affinity were conducted for common TFs, moderate TFs, and specific TFs, which exhibit different biological features. The local module located from the common CRC network highlighted the essential functions and prognostic performance. The tissue-specific CRC network was highly related to cell identity. Core TFs in tissue-specific CRC networks exhibited disease markers, and had regulatory potential for cancer immunotherapy. Moreover, a user-friendly resource named CRCdb (http://www.licpathway.net/crcdb/index.html) was developed, which contained the detailed information of CRCs and core TFs used in this study, as well as other interesting results, such as the most representative CRC, frequency of TFs, and indegree/outdegree of TFs.
核心转录调控回路(CRC)是一种由一组核心转录因子(TF)形成的相互连接的自我调控回路。这些核心TF不仅通过结合自身的超级增强子(SE),还通过结合彼此的SE来共同调节基因表达。对于大多数人类组织/细胞类型,尚未生成CRC和核心TF的全局视图。在这里,我们使用两种识别方法鉴定了众多CRC,并详细描述了在大细胞/组织样本中由SE驱动的CRC景观。对具有不同生物学特征的常见TF、中度TF和特异性TF进行了包括序列保守性、CRC活性和基因组结合亲和力在内的综合生物学分析。从常见CRC网络定位的局部模块突出了基本功能和预后性能。组织特异性CRC网络与细胞身份高度相关。组织特异性CRC网络中的核心TF表现出疾病标志物,并且对癌症免疫治疗具有调控潜力。此外,还开发了一个名为CRCdb(http://www.licpathway.net/crcdb/index.html)的用户友好资源,其中包含本研究中使用的CRC和核心TF的详细信息,以及其他有趣的结果,如最具代表性的CRC、TF的频率以及TF的入度/出度。