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BioinformaticsGenetics
Peer-reviewed journal article

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

Yanhui HuiD, Jonathan RodigeriD, Yifang LiuiD, Chenxi GaoiD, Ying LiuiD, Mujeeb QadiriiD, Austin Veal, Martha L. BulykiD, Norbert PerrimoniD

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.

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