FB2026_02 , released June 18, 2026
FB2026_02 , released June 18, 2026
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Citation
Hu, Y., Rodiger, J., Liu, Y., Gao, C., Liu, Y., Qadiri, M., Veal, A., Bulyk, M.L., Perrimon, N. (2026). TF2TG: an online resource mining the potential gene targets of transcription factors in Drosophila.  Genetics 232(1): iyaf082.
FlyBase ID
FBrf0264264
Publication Type
Research paper
Abstract
Sequence-specific transcription factors (TFs) are key regulators of many biological processes, controlling the expression of their target genes (TGs) 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 TFs to their TGs 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.
PubMed ID
PubMed Central ID
PMC12774851 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Genetics
    Title
    Genetics
    Publication Year
    1916-
    ISBN/ISSN
    0016-6731
    Data From Reference