ArticleBMC bioinformatics2019
Transcription factor regulatory modules provide the molecular mechanisms for functional redundancy observed among transcription factors in yeast.
Article in BMC bioinformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed.
- CRM-TI: an enhanced pipeline for computationally assigning the target genes of cis-regulatory modules by considering comprehensive long-range regulation mechanisms.BioData mining · 2026Article
- ZmDof08, a zinc finger transcription factor, plays critical roles in photosynthesis in maize.Plant cell reports · 2025Article
- Modeling combinatorial regulation from single-cell multi-omics provides regulatory units underpinning cell type landscape using cRegulon.Genome biology · 2025Article
- DMLS: an automated pipeline to extract the Drosophila modular transcription regulators and targets from massive literature articles.Database : the journal of biological databases and curation · 2024Article
- regCNN: identifyingComputational and structural biotechnology journal · 2022Article
- KDmarkers: A biomarker database for investigating epigenetic methylation and gene expression levels in Kawasaki disease.Computational and structural biotechnology journal · 2022Article
- SSRTool: A web tool for evaluating RNA secondary structure predictions based on species-specific functional interpretability.Computational and structural biotechnology journal · 2022Article
- YTLR: Extracting yeast transcription factor-gene associations from the literature using automated literature readers.Computational and structural biotechnology journal · 2022Article
- Identifying piRNA targets on mRNAs in C. elegans using a deep multi-head attention network.BMC bioinformatics · 2021Article
- Human IRES Atlas: an integrative platform for studying IRES-driven translational regulation in humans.Database : the journal of biological databases and curation · 2021Article
- Cancer DEIso: An integrative analysis platform for investigating differentially expressed gene-level and isoform-level human cancer markers.Computational and structural biotechnology journal · 2021Article
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Abstract
backgroundCurrent technologies for understanding the transcriptional reprogramming in cells include the transcription factor (TF) chromatin immunoprecipitation (ChIP) experiments and the TF knockout experiments. The ChIP experiments show the binding targets of TFs against which the antibody directs while the knockout techniques find the regulatory gene targets of the knocked-out TFs. However, it was shown that these two complementary results contain few common targets. Researchers have used the concept of TF functional redundancy to explain the low overlap between these two techniques. But the detailed molecular mechanisms behind TF functional redundancy remain unknown. Without knowing the possible molecular mechanisms, it is hard for biologists to fully unravel the cause of TF functional redundancy.
resultsTo mine out the molecular mechanisms, a novel algorithm to extract TF regulatory modules that help explain the observed TF functional redundancy effect was devised and proposed in this research. The method first searched for candidate TF sets from the TF binding data. Then based on these candidate sets the method utilized the modified Steiner Tree construction algorithm to construct the possible TF regulatory modules from protein-protein interaction data and finally filtered out the noise-induced results by using confidence tests. The mined-out regulatory modules were shown to correlate to the concept of functional redundancy and provided testable hypotheses of the molecular mechanisms behind functional redundancy. And the biological significance of the mined-out results was demonstrated in three different biological aspects: ontology enrichment, protein interaction prevalence and expression coherence. About 23.5% of the mined-out TF regulatory modules were literature-verified. Finally, the biological applicability of the proposed method was shown in one detailed example of a verified TF regulatory module for pheromone response and filamentous growth in yeast.
conclusionIn this research, a novel method that mined out the potential TF regulatory modules which elucidate the functional redundancy observed among TFs is proposed. The extracted TF regulatory modules not only correlate the molecular mechanisms to the observed functional redundancy among TFs, but also show biological significance in inferring TF functional binding target genes. The results provide testable hypotheses for biologists to further design subsequent research and experiments.
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