TF2TG: an online resource mining the potential gene targets of transcription factors in Drosophila.

Publication information:

Yanhui Hu, Jonathan Rodiger, Yifang Liu, Chenxi Gao, Ying Liu, Mujeeb Qadiri, Austin Veal, Martha L Bulyk, and Norbert Perrimon. 2025. “TF2TG: An Online Resource Mining the Potential Gene Targets of Transcription Factors in Drosophila”. Genetics. doi:10.1093/genetics/iyaf082

Abstract

Sequence-specific transcription factors (TFs) are key regulators of many biological processes, controlling the expression of their target genes through binding to the cis- regulatory regions such as promoters and enhancers. Each TF has unique DNA binding site motifs, and large-scale experiments have been conducted to characterize TF-DNA binding preferences. However, no comprehensive resource currently integrates these datasets for Drosophila. To address this need, we developed TF2TG ("transcription factor" to "target gene"), a comprehensive resource that combines both in vitro and in vivo datasets to link transcription factors (TFs) to their target genes based on TF-DNA binding preferences along with the protein-protein interaction data, tissue-specific transcriptomic data, and chromatin accessibility data. Although the genome offers numerous potential binding sites for each TF, only a subset is actually bound in vivo, and of these, only a fraction is functionally relevant. For instance, some TFs bind to their specific sites due to synergistic interactions with other factors nearby. This integration provides users with a comprehensive list of potential candidates as well as aids users in ranking candidate genes and determining condition-specific TF binding for studying transcriptional regulation in Drosophila.