School of Medical Informatics, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Department of Pharmacology, Daqing Campus, Harbin Medical University, Daqing 163319, China.
Nucleic Acids Res. 2020 Jan 8;48(D1):D93-D100. doi: 10.1093/nar/gkz881.
Transcription factors (TFs) and their target genes have important functions in human diseases and biological processes. Gene expression profile analysis before and after knockdown or knockout is one of the most important strategies for obtaining target genes of TFs and exploring TF functions. Human gene expression profile datasets with TF knockdown and knockout are accumulating rapidly. Based on the urgent need to comprehensively and effectively collect and process these data, we developed KnockTF (http://www.licpathway.net/KnockTF/index.html), a comprehensive human gene expression profile database of TF knockdown and knockout. KnockTF provides a number of resources for human gene expression profile datasets associated with TF knockdown and knockout and annotates TFs and their target genes in a tissue/cell type-specific manner. The current version of KnockTF has 570 manually curated RNA-seq and microarray datasets associated with 308 TFs disrupted by different knockdown and knockout techniques and across multiple tissue/cell types. KnockTF collects upstream pathway information of TFs and functional annotation results of downstream target genes. It provides details about TFs binding to promoters, super-enhancers and typical enhancers of target genes. KnockTF constructs a TF-differentially expressed gene network and performs network analyses for genes of interest. KnockTF will help elucidate TF-related functions and potential biological effects.
转录因子 (TFs) 及其靶基因在人类疾病和生物过程中具有重要功能。在敲低或敲除前后进行基因表达谱分析是获得 TFs 靶基因和探索 TF 功能的最重要策略之一。具有 TF 敲低和敲除的人类基因表达谱数据集正在迅速积累。基于全面有效地收集和处理这些数据的迫切需要,我们开发了 KnockTF(http://www.licpathway.net/KnockTF/index.html),这是一个综合的人类基因表达谱数据库,包含 TF 敲低和敲除的数据。KnockTF 以组织/细胞类型特异性的方式为与 TF 敲低和敲除相关的人类基因表达谱数据集提供了许多资源,并注释了 TFs 及其靶基因。目前的版本 KnockTF 包含 570 个手动整理的 RNA-seq 和微阵列数据集,这些数据集与 308 个不同的敲低和敲除技术以及多种组织/细胞类型相关,涉及到的 TFs 被破坏。KnockTF 收集了 TFs 的上游通路信息和下游靶基因的功能注释结果。它提供了关于 TFs 与靶基因启动子、超级增强子和典型增强子结合的详细信息。KnockTF 构建了 TF-差异表达基因网络,并对感兴趣的基因进行了网络分析。KnockTF 将有助于阐明 TF 相关的功能和潜在的生物学效应。