Project description:Human gene expression is controlled from distance via enhancers, which can form longer ‘super-enhancer’-regions of intense regulatory activity. Whether super-enhancers constitute a separate regulatory paradigm remains unclear, largely due to the difficulty of dissecting the contributions and interactions of individual elements within their natural chromosomal context. To address this challenge, we developed enhancer scrambling, a high-throughput strategy to generate stochastic inversions and deletions of targeted enhancer regions by combining CRISPR prime editing insertion of symmetrical loxP sites with Cre recombinase-induced rearrangements. We applied our approach to dissect a distal super-enhancer of the OTX2 gene, generating up to 134 alternative regulatory configurations in a single experiment, and establishing how they drive gene expression and chromatin accessibility, as well as the individual contributions of its elements to this activity. Surprisingly, the presence of the sequence containing a single DNase I hypersensitive site predominantly controls OTX2 expression. Our findings highlight that enhancer-driven regulation of some highly expressed, cell-type-specific genes can rely on an individual element within a cluster of non-interacting, dispensable components, and suggest a simple functional core to a subset of super-enhancers. The targeted randomisation method to scramble enhancers can scale to resolve many super-enhancers and human gene regulatory landscapes.
Project description:Human gene expression is controlled from distance via enhancers, which can form longer ‘super-enhancer’-regions of intense regulatory activity. Whether super-enhancers constitute a separate regulatory paradigm remains unclear, largely due to the difficulty of dissecting the contributions and interactions of individual elements within their natural chromosomal context. To address this challenge, we developed enhancer scrambling, a high-throughput strategy to generate stochastic inversions and deletions of targeted enhancer regions by combining CRISPR prime editing insertion of symmetrical loxP sites with Cre recombinase-induced rearrangements. We applied our approach to dissect a distal super-enhancer of the OTX2 gene, generating up to 134 alternative regulatory configurations in a single experiment, and establishing how they drive gene expression and chromatin accessibility, as well as the individual contributions of its elements to this activity. Surprisingly, the presence of the sequence containing a single DNase I hypersensitive site predominantly controls OTX2 expression. Our findings highlight that enhancer-driven regulation of some highly expressed, cell-type-specific genes can rely on an individual element within a cluster of non-interacting, dispensable components, and suggest a simple functional core to a subset of super-enhancers. The targeted randomisation method to scramble enhancers can scale to resolve many super-enhancers and human gene regulatory landscapes.
Project description:Human gene expression is controlled from distance via enhancers, which can form longer ‘super-enhancer’-regions of intense regulatory activity. Whether super-enhancers constitute a separate regulatory paradigm remains unclear, largely due to the difficulty of dissecting the contributions and interactions of individual elements within their natural chromosomal context. To address this challenge, we developed enhancer scrambling, a high-throughput strategy to generate stochastic inversions and deletions of targeted enhancer regions by combining CRISPR prime editing insertion of symmetrical loxP sites with Cre recombinase-induced rearrangements. We applied our approach to dissect a distal super-enhancer of the OTX2 gene, generating up to 134 alternative regulatory configurations in a single experiment, and establishing how they drive gene expression and chromatin accessibility, as well as the individual contributions of its elements to this activity. Surprisingly, the presence of the sequence containing a single DNase I hypersensitive site predominantly controls OTX2 expression. Our findings highlight that enhancer-driven regulation of some highly expressed, cell-type-specific genes can rely on an individual element within a cluster of non-interacting, dispensable components, and suggest a simple functional core to a subset of super-enhancers. The targeted randomisation method to scramble enhancers can scale to resolve many super-enhancers and human gene regulatory landscapes.
Project description:Using GRO-Seq, we find extensive regulation of enhancer RNAs (eRNA) within super-enhancers in response to lipopolysaccharide treatment in macrophages. Both activation and repression of gene expression are associated with super-enhancers and eRNA transcription dynamics. Co-treatment of LPS and the anti-inflammatory drug dexamethasone targeted specific super-enhancers by attenuating their eRNA expression, leading to reduced expression of key inflammatory genes. We propose that super-enhancers function as molecular rheostats integrating the binding profiles of key regulators to produce dynamic profiles of gene expression. Nascent transcriptome (GRO-Seq) analysis over a time course (0, 20, 60, 180 min) of Lipopolisaccharide and Dexamethasone signaling in mouse bone marrow-derived macrophages.
Project description:Here we apply integrated epigenomic and transcriptomic profiling to uncover super-enhancer heterogeneity between breast cancer subtypes, and provide clinically relevant biological insights towards TNBC. Using CRISPR/Cas9-mediated gene editing, we identify genes that are specifically regulated by TNBC-specific super-enhancers, including FOXC1 and MET, thereby unveiling a mechanism for specific overexpression of the key oncogenes in TNBC. We also identify ANLN as a novel TNBC-specific gene regulated by super-enhancer. Our studies reveal a TNBC-specific epigenomic landscape, contributing to the dysregulated oncogene expression in breast tumorigenesis.
Project description:This dataset includes tandem mass tag (TMT)-based quantitative proteomics and immunoprecipitation-mass spectrometry (IP-MS) data derived from osteosarcoma cells infected with the oncolytic M1 virus. The proteomic analysis was performed to identify differential protein expression, focusing on changes in super-enhancer-associated transcriptional regulators, particularly RNA polymerase II subunit RPB1. The IP-MS dataset captures interacting proteins of RPB1 and viral non-structural protein NSP2, aiming to uncover the mechanism by which NSP2 mediates CUL2 E3 ligase complex recruitment and promotes RPB1 ubiquitination and degradation. These data support the mechanistic findings presented in the manuscript titled “Alphavirus M1 disrupts super-enhancer-driven oncogenic transcription via non-structural protein NSP2 in osteosarcoma.“