A mouse tissue transcription factor atlas

• Published in: Nature communications 2017-04, Vol.8 (1), p.15089-15, Article 15089
• Main Authors: Zhou, Quan, Liu, Mingwei, Xia, Xia, Gong, Tongqing, Feng, Jinwen, Liu, Wanlin, Liu, Yang, Zhen, Bei, Wang, Yi, Ding, Chen, Qin, Jun
• Format: Article
• Language: English
• Subjects: 38/77; 631/337/475; 631/337/572; 631/553/1833; 82/58; 82/83; Animals; Atlases as Topic; Data Mining; Ectoderm - cytology; Ectoderm - growth & development; Ectoderm - metabolism; Endoderm - cytology; Endoderm - growth & development; Endoderm - metabolism; Female; Fetus; Gene Expression Regulation, Developmental; Gene Regulatory Networks; Genes; Genetic engineering; Genome; Genomes; Humanities and Social Sciences; Life sciences; Male; Mesoderm - cytology; Mesoderm - growth & development; Mesoderm - metabolism; Mice; Mice, Inbred C57BL; multidisciplinary; Organ Specificity; Proteins; Proteome - genetics; Proteome - metabolism; Response Elements; Science; Science (multidisciplinary); Transcription factors; Transcription Factors - classification; Transcription Factors - genetics; Transcription Factors - metabolism; Transcription, Genetic
• ISSN: 2041-1723; 2041-1723
• DOI: 10.1038/ncomms15089

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. While we have abundant data for transcription factor (TF) binding sites and TF expression at the mRNA level, our knowledge of TFs at the protein level and their DNA-binding activities is sparser. Here, the authors address this by using the catTFRE approach to profile active TFs in 24 adult and 8 fetal mouse tissues, and presenting the TF networks in major mouse organs.