Mei Shenglin, Meyer Clifford A, Zheng Rongbin, Qin Qian, Wu Qiu, Jiang Peng, Li Bo, Shi Xiaohui, Wang Binbin, Fan Jingyu, Shih Celina, Brown Myles, Zang Chongzhi, Liu X Shirley
Shanghai Key Laboratory of Tuberculosis, Clinical Translational Research Center, Shanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Department of Bioinformatics, School of Life Sciences and Technology, Tongji University, Shanghai, China.
Cancer Res. 2017 Nov 1;77(21):e19-e22. doi: 10.1158/0008-5472.CAN-17-0327.
Cancer results from a breakdown of normal gene expression control, so the study of gene regulation is critical to cancer research. To gain insight into the transcriptional and epigenetic factors regulating abnormal gene expression patterns in cancers, we developed the Cistrome Cancer web resource (http://cistrome.org/CistromeCancer/). We conducted the systematic integration and modeling of over 10,000 tumor molecular profiles from The Cancer Genome Atlas (TCGA) with over 23,000 ChIP-seq and chromatin accessibility profiles from our Cistrome collection. The results include reconstruction of functional enhancer profiles, "super-enhancer" target genes, as well as predictions of active transcription factors and their target genes for each TCGA cancer type. Cistrome Cancer reveals novel insights from integrative analyses combining chromatin profiles with tumor molecular profiles and will be a useful resource to the cancer gene regulation community. .
癌症源于正常基因表达调控的崩溃,因此基因调控研究对癌症研究至关重要。为深入了解调节癌症中异常基因表达模式的转录和表观遗传因素,我们开发了Cistrome癌症网络资源(http://cistrome.org/CistromeCancer/)。我们对来自癌症基因组图谱(TCGA)的10000多个肿瘤分子图谱与来自我们Cistrome数据库的23000多个ChIP-seq和染色质可及性图谱进行了系统整合和建模。结果包括功能性增强子图谱、“超级增强子”靶基因的重建,以及针对每种TCGA癌症类型的活性转录因子及其靶基因的预测。Cistrome癌症通过将染色质图谱与肿瘤分子图谱相结合的综合分析揭示了新的见解,并将成为癌症基因调控领域的有用资源。