A Mouse Tissue Transcription Factor Atlas

Transcription factors (TFs) drive various biological processes ranging from embryonic development to carcinogenesis. Here, we employ a recently developed concatenated tandem array of consensus TF response elements (catTFRE) approach to profile the activated TFs in 24 adult and 8 fetal mouse tissues on proteome scale. A total of 941 TFs are quantitatively identified, representing over 60% of the TFs in the mouse genome. Using an integrated omics approach, we present a TF network in the major organs of the mouse, allowing data mining and generating knowledge to elucidate the roles of TFs in various biological processes, including tissue type maintenance and determining the general features of a physiological system. This study provides a landscape of TFs in mouse tissues that can be used to elucidate transcriptional regulatory specificity and programming and as a baseline that may facilitate understanding diseases that are regulated by TFs.

转录因子（Transcription factors，TFs）介导从胚胎发育到癌变等多种生物学过程。本研究采用新近开发的共有转录因子应答元件串联阵列（concatenated tandem array of consensus TF response elements，catTFRE）技术，在蛋白质组层面上对24份成年小鼠组织与8份胎鼠组织中的活化转录因子进行定量表征。本研究共定量鉴定出941个转录因子，覆盖小鼠基因组中超过60%的转录因子总量。借助整合组学分析策略，我们构建了小鼠主要器官的转录因子调控网络，可为数据挖掘提供支持，并生成相关认知以阐明转录因子在各类生物学过程中的作用，包括组织类型维持以及生理系统通用特征的解析。本研究绘制了小鼠组织中转录因子的调控全景图谱，可用于阐释转录调控的特异性与调控程序，同时可作为基准参照数据集，助力解析受转录因子调控的各类疾病。