Enhancers with cooperative Notch binding sites are more resistant to regulation by the Hairless co-repressor
Year: 2021
Type: article
Abstract: Notch signaling controls many developmental processes by regulating gene expression. Notch-dependent enhancers recruit activation complexes consisting of the Notch intracellular domain, the Cbf/Su(H)/Lag1 (CSL) transcription factor (TF), and the Mastermind co-factor via two types of DNA sites: monomeric CSL sites and cooperative dimer sites called Su(H) paired sites (SPS). Intriguingly, the CSL TF can also bind co-repressors to negatively regulate transcription via these same sites. Here, we tested how synthetic enhancers with monomeric CSL sites versus dimeric SPSs bind Drosophila Su(H) complexes in vitro and mediate transcriptional outcomes in vivo. Our findings reveal that while the Su(H)/Hairless co-repressor complex similarly binds SPS and CSL sites in an additive manner, the Notch activation complex binds SPSs, but not CSL sites, in a cooperative manner. Moreover, transgenic reporters with SPSs mediate stronger, more consistent transcription and are more resistant to increased Hairless co-repressor expression compared to reporters with the same number of CSL sites. These findings support a model in which SPS containing enhancers preferentially recruit cooperative Notch activation complexes over Hairless repression complexes to ensure consistent target gene activation.
Source: PLoS Genetics
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,575
Funders: National Science Foundation, Foundation for the National Institutes of Health, Cincinnati Children's Hospital Medical Center, Universität Hohenheim, National Institutes of Health, National Cancer Institute, National Institute of General Medical Sciences, National Institute of Neurological Disorders and Stroke, Division of Molecular and Cellular Biosciences
Awards: Molecular mechanisms of transcriptional regulation in the Notch pathway, G2121397159, G224159713, NSF/MCB-BSF: Quantitative analysis and modeling of Notch signaling using in vivo synthetic biology, G264301746, G4988973199, G566358457, NSF/MCB-BSF: Modeling the mechanisms that define Notch signal strength using in-vivo synthetic and quantitative biology, G6872873541, G7185013638, G8266147385, G9000042482, G9000159478
OpenAlex ID: W3201423902
