ArticleProceedings of the National Academy of Sciences of the United States of America2015
Shadow enhancers enable Hunchback bifunctionality in the Drosophila embryo.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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Who cites it
32 citing papers in PubMed, 48 citations in OpenAlex.
- Characterizing the regulatory logic of transcriptional control at the DNA sequence level by ensembles of thermodynamic models.Bioinformatics (Oxford, England) · 2025Article
- Two coacting shadow enhancers regulate twin of eyeless expression during early Drosophila development.Genetics · 2025Article
- Review
- Shadow enhancers mediate trade-offs between transcriptional noise and fidelity.PLoS computational biology · 2023Article
- Transcriptional activators in the early Drosophila embryo perform different kinetic roles.Cell systems · 2023Article
- Hunchback prevents notch-induced apoptosis in the serotonergic lineage of Drosophila Melanogaster.Developmental biology · 2022Article
- Trading bits in the readout from a genetic network.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Targeting the Transcriptome Through Globally Acting Components.Frontiers in genetics · 2021Review
- Transcriptional Enhancers inGenetics · 2020Review
- Article
- An in silico analysis of robust but fragile gene regulation links enhancer length to robustness.PLoS computational biology · 2019Article
- Quantitative Comparison of the Anterior-Posterior Patterning System in the Embryos of FiveG3 (Bethesda, Md.) · 2019Article
- Causal Gene Regulatory Network Modeling and Genomics: Second-Generation Challenges.Journal of computational biology : a journal of computational molecular cell biology · 2019Article
- Quantitative analysis reveals genotype- and domain- specific differences between mRNA and protein expression of segmentation genes in Drosophila.Developmental biology · 2019Article
- Hunchback is counter-repressed to regulate even-skipped stripe 2 expression in Drosophila embryos.PLoS genetics · 2018Article
- Inference of Transcription Factor Regulation Patterns Using Gene Expression Covariation in Natural Populations ofBiophysics · 2018Article
- Transcriptional precision and accuracy in development: from measurements to models and mechanisms.Development (Cambridge, England) · 2017Review
- Quantitative Measurement and Thermodynamic Modeling of Fused Enhancers Support a Two-Tiered Mechanism for Interpreting Regulatory DNA.Cell reports · 2017Article
- Regulatory logic driving stable levels ofDevelopment (Cambridge, England) · 2017Article
- Combinatorial Gene Regulation through Kinetic Control of the Transcription Cycle.Cell systems · 2017Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
Hunchback (Hb) is a bifunctional transcription factor that activates and represses distinct enhancers. Here, we investigate the hypothesis that Hb can activate and repress the same enhancer. Computational models predicted that Hb bifunctionally regulates the even-skipped (eve) stripe 3+7 enhancer (eve3+7) in Drosophila blastoderm embryos. We measured and modeled eve expression at cellular resolution under multiple genetic perturbations and found that the eve3+7 enhancer could not explain endogenous eve stripe 7 behavior. Instead, we found that eve stripe 7 is controlled by two enhancers: the canonical eve3+7 and a sequence encompassing the minimal eve stripe 2 enhancer (eve2+7). Hb bifunctionally regulates eve stripe 7, but it executes these two activities on different pieces of regulatory DNA--it activates the eve2+7 enhancer and represses the eve3+7 enhancer. These two "shadow enhancers" use different regulatory logic to create the same pattern.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.