Ontology highlight
ABSTRACT:
PROVIDER: PRJNA258409 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1553290_1.fastq.gz | Fastqsanger.gz | |||
| SRR1553290_2.fastq.gz | Fastqsanger.gz | |||
| SRR1553291_1.fastq.gz | Fastqsanger.gz | |||
| SRR1553291_2.fastq.gz | Fastqsanger.gz | |||
| SRR1553292_1.fastq.gz | Fastqsanger.gz |
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Project description:Genome-wide mapping of promoter-enhancer interactions with HiCap [HiCap]
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Project description:Recent sequencing-based experiments mapping ensemble interaction frequency among regulatory elements in cancer cells support the existence of complex topological assemblies of enhancers and promoters known as promoter-enhancer hubs or cliques. Yet, the prevalence of promoter-enhancer hubs in individual cells, factors regulating their dynamics and assembly, as well as their role in transcriptional dysregulation in cancer remain unclear. Here, we systematically integrated functional genomics, transcription factor screening, and optical mapping of promoter-enhancer interactions to identify key promoter-enhancer hubs, examine heterogeneity of their assembly, determine their regulators, and elucidate their role in gene expression control in individual triple negative breast cancer (TNBC) cells. Optical mapping of individual SOX9 and MYC alleles revealed the existence of frequent multiway interactions among gene promoters and enhancers within promoter-enhancer hubs. Our single-allele studies further demonstrated that lineage-determining SOX9 and signaling-dependent NOTCH1 transcription factors compact MYC and SOX9 promoter-enhancer hubs, respectively. Together, our findings suggest that promoter-enhancer hubs are dynamic and heterogeneous topological assemblies controlled by oncogenic transcription factors potentially in a cancer subtype-restricted manner to facilitate aberrant gene expression.
2024-08-16 | GSE264706 | GEO
Project description:Recent sequencing-based experiments mapping ensemble interaction frequency among regulatory elements in cancer cells support the existence of complex topological assemblies of enhancers and promoters known as promoter-enhancer hubs or cliques. Yet, the prevalence of promoter-enhancer hubs in individual cells, factors regulating their dynamics and assembly, as well as their role in transcriptional dysregulation in cancer remain unclear. Here, we systematically integrated functional genomics, transcription factor screening, and optical mapping of promoter-enhancer interactions to identify key promoter-enhancer hubs, examine heterogeneity of their assembly, determine their regulators, and elucidate their role in gene expression control in individual triple negative breast cancer (TNBC) cells. Optical mapping of individual SOX9 and MYC alleles revealed the existence of frequent multiway interactions among gene promoters and enhancers within promoter-enhancer hubs. Our single-allele studies further demonstrated that lineage-determining SOX9 and signaling-dependent NOTCH1 transcription factors compact MYC and SOX9 promoter-enhancer hubs, respectively. Together, our findings suggest that promoter-enhancer hubs are dynamic and heterogeneous topological assemblies controlled by oncogenic transcription factors potentially in a cancer subtype-restricted manner to facilitate aberrant gene expression.
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Project description:High resolution mapping of enhancer-promoter interactions [ChIA-PET]
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Project description:Recent advances in high-resolution mapping of spatial interactions among regulatory elements support the existence of complex topological assemblies of enhancers and promoters known as enhancer-promoter hubs or cliques. Yet, organization principles of these multi-interacting enhancer-promoter hubs and their potential role in regulating gene expression in cancer remains unclear. Here, we systematically identified enhancer-promoter hubs in breast cancer, lymphoma, and leukemia. We found that highly interacting enhancer-promoter hubs form at key oncogenes and lineage-associated transcription factors potentially promoting oncogenesis of these diverse cancer types. Genomic and optical mapping of interactions among enhancer and promoter elements further showed that topological alterations in hubs coincide with transcriptional changes underlying acquired resistance to targeted therapy in T cell leukemia and B cell lymphoma. Together, our findings suggest that enhancer-promoter hubs are dynamic and heterogeneous topological assemblies with the potential to control gene expression circuits promoting oncogenesis and drug resistance.
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Project description:Recent advances in high-resolution mapping of spatial interactions among regulatory elements support the existence of complex topological assemblies of enhancers and promoters known as enhancer-promoter hubs or cliques. Yet, organization principles of these multi-interacting enhancer-promoter hubs and their potential role in regulating gene expression in cancer remains unclear. Here, we systematically identified enhancer-promoter hubs in breast cancer, lymphoma, and leukemia. We found that highly interacting enhancer-promoter hubs form at key oncogenes and lineage-associated transcription factors potentially promoting oncogenesis of these diverse cancer types. Genomic and optical mapping of interactions among enhancer and promoter elements further showed that topological alterations in hubs coincide with transcriptional changes underlying acquired resistance to targeted therapy in T cell leukemia and B cell lymphoma. Together, our findings suggest that enhancer-promoter hubs are dynamic and heterogeneous topological assemblies with the potential to control gene expression circuits promoting oncogenesis and drug resistance.
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Project description:Using genome-wide Chromatin Interaction Analysis with Paired-End-Tag sequencing, we mapped long-range chromatin interactions associated with RNA polymerase II in three different mouse cell lines and uncovered widespread promoter-centered interactions. These interactions further aggregated into higher-order clusters, in which proximal and distant genes are engaged through enhancer-promoter interactions. Comparative analyses of different cell lines imply that cell specific enhancer interactions are dynamic among different cell specific transcription, and suggest significant enrichment of enhancer-promoter interactions for cell specific manner. Overall, our study provides novel insights into the three-dimensional basis of transcription activity in mouse cells. RNA polymerase II (RNAPII) guided chromatin interactions were discovered by Chromatin Interaction Analysis with Paired-End Tag (ChIA-PET) sequencing, in order to study genome-wise the enhancer-promoter interactions. Three cell lines, namely mouse embryonic stem cell E14, Neural stem cell NS5 and neuroshpere cells were grown under standard culture conditions and harvested at log phase. Harvested cells were cross-linked using 1% formaldehyde followed by neutralization with 0.2M glycine. Chromatin was isolated and subjected to ChIA-PET protocol as described in Fullwood et al, 2009. The ChIA-PET sequence reads were processed and analyzed using ChIA-PET Tool (Li et al, 2010)
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Project description:Genome-wide mapping of chromatin interactions at high resolution remains experimentally and computationally challenging. Here we used a low-input “easy Hi-C” protocol to map the 3D genome architecture in human neurogenesis and brain tissues and also demonstrated that a rigorous Hi-C bias-correction pipeline (HiCorr) can significantly improve the sensitivity and robustness of Hi-C loop identification at sub-TAD level, especially the enhancer-promoter (E-P) interactions. We used HiCorr to compare the high-resolution maps of chromatin interactions from 10 tissue or cell types with a focus on neurogenesis and brain tissues. We found that dynamic chromatin loops are better hallmarks for cellular differentiation than compartment switching. HiCorr allowed direct observation of cell-type- and differentiation-specific E-P aggregates spanning large neighborhoods, suggesting a mechanism that stabilizes enhancer contacts during development. Interestingly, we concluded that Hi-C loop outperforms eQTL in explaining neurological GWAS results, revealing a unique value of high-resolution 3D genome maps in elucidating the disease etiology.
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