Publications by authors named "Noah Burget"
Article Synopsis
- Advances in high-resolution mapping have revealed complex structures formed by enhancers and promoters, known as enhancer-promoter hubs or cliques, which play a role in gene regulation.
- This study identifies enhancer-promoter hubs in breast cancer, lymphoma, and leukemia, highlighting their formation at important oncogenes and transcription factors that could drive cancer development.
- The research also shows that changes in these hubs are linked to shifts in gene expression related to resistance against targeted cancer therapies, indicating their potential impact on both oncogenesis and treatment outcomes.
Sequencing-based mapping of ensemble pairwise interactions among regulatory elements support the existence of topological assemblies known as promoter-enhancer hubs or cliques in cancer. Yet, prevalence, regulators, and functions of promoter-enhancer hubs in individual cancer cells 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.
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- * Researchers systematically mapped these hubs in breast cancer, lymphoma, and leukemia, discovering that they often cluster around key oncogenes and transcription factors linked to cancer development.
- * The study also revealed that changes in these enhancer-promoter hubs are associated with transcriptional shifts that contribute to drug resistance in specific blood cancers, indicating their dynamic nature and potential influence on cancer treatment outcomes.
Cellular composition and anatomical organization influence normal and aberrant organ functions. Emerging spatial single-cell proteomic assays such as Image Mass Cytometry (IMC) and Co-Detection by Indexing (CODEX) have facilitated the study of cellular composition and organization by enabling high-throughput measurement of cells and their localization directly in intact tissues. However, annotation of cell types and quantification of their relative localization in tissues remain challenging.
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