Research Center for Clinical Medicine, Jinshan Hospital, Fudan University, Shanghai, China.
Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
Mol Oncol. 2023 Jul;17(7):1246-1262. doi: 10.1002/1878-0261.13388. Epub 2023 Feb 11.
Transcription factors (TFs) are key players in the regulation of gene transcription in mammalian cells. Although high-throughput screening can be used to identify differentially expressed genes between comparable groups, the precision of the corresponding datasets is far from optimal. Here, we establish Target Finder of Transcription Factor (TFoTF), a method for the prediction of TF-targeted genes from genomic and cancer-related transcriptomic data. TFoTF can identify potential TF-targeted genes in large cancer datasets and efficiently estimate correlations between TFs and their targeted genes with a significant level of specificity, sensitivity, and precision. Overall, TFoTF is an easy-to-use tool that can be utilized to generate testable hypotheses in the context of cancer research projects.
转录因子(TFs)是哺乳动物细胞中基因转录调控的关键因素。虽然高通量筛选可用于识别可比组之间差异表达的基因,但相应数据集的精度远非最佳。在这里,我们建立了转录因子靶基因预测器(TFoTF),这是一种从基因组和癌症相关转录组数据中预测 TF 靶基因的方法。TFoTF 可以从大型癌症数据集中识别潜在的 TF 靶基因,并有效地估计 TF 与其靶基因之间的相关性,具有显著的特异性、敏感性和精度。总的来说,TFoTF 是一种易于使用的工具,可以在癌症研究项目中生成可测试的假设。