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At the same time, we plan to compare the enhancer network in adult islets to earlier stages of development by using human pluripotent stem cells (hPSCs) to generate early \u03b2 cells and their developmental precursors. Utilizing these 4D genomic data, we will computationally nominate core \u03b2-cell specific enhancers relevant to \u03b2 cell development, function, and T2D, and then interrogate these putative enhancers through large-scale CRISPRi mediated perturbation screens using hPSC-\u03b2 cells. Enhancers identified from the screening effort will be further validated in an established human \u03b2 cell line and primary human islet \u03b2 cells. This proposal addresses a critical gap in the 4DN initiative, that is how to translate 3D genomics data into functional data with respect to gene expression in the context of human health. Successful completion of our aims will establish a paradigm for the discovery and interrogation of functional enhancers that instruct transcriptional programs specific to a cell type of interest, reveal unique insights into their mechanisms of action, and identify enhancers with relevance to human development and disease. 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To address this gap, we have  characterized, at a genome-wide scale, enhancer activity and 3D connectivity in  embryo-derived stem cell lines that represent each of the early developmental  fates. We observed extensive enhancer remodeling and fine-scale 3D chromatin  rewiring among the three lineages, which strongly associate with transcriptional  changes, although there are distinct groups of genes that are irresponsive to  topological changes. In each lineage, a high degree of connectivity or \"hubness\"  positively correlates with levels of gene expression and enriches for cell-type  specific and essential genes. Genes within 3D hubs also show a significantly  stronger probability of coregulation across lineages, compared to genes in linear  proximity or within the same contact domains. By incorporating 3D chromatin  features, we build a novel predictive model for transcriptional regulation  (3D-HiChAT), which outperformed models that use only 1D promoter or proximal  variables in predicting levels and cell-type specificity of gene expression.  Using 3D-HiChAT, we performed genome-wide in silico perturbations to nominate  candidate functional enhancers and hubs in each cell lineage, and with CRISPRi  experiments we validated several novel enhancers that control expression of one  or more genes in their respective lineages. Our study comprehensively identifies  3D regulatory hubs associated with the earliest mammalian lineages and describes  their relationship to gene expression and cell identity, providing a framework to  understand lineage-specific transcriptional behaviors.", "date_published": "2023-07-19", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}, "publications_of_exp": [{"authors": ["Murphy D", "Salataj E", "Di Giammartino DC", "Rodriguez-Hernaez J", "Kloetgen A", "Garg V", "Char E", "Uyehara CM", "Ee LS", "Lee U", "Stadtfeld M", "Hadjantonakis AK", "Tsirigos A", "Polyzos A", "Apostolou E"], "ID": "doi:10.1101/2023.07.19.549714", "display_title": "Murphy D et al. 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We observed extensive enhancer remodeling and fine-scale 3D chromatin  rewiring among the three lineages, which strongly associate with transcriptional  changes, although there are distinct groups of genes that are irresponsive to  topological changes. In each lineage, a high degree of connectivity or \"hubness\"  positively correlates with levels of gene expression and enriches for cell-type  specific and essential genes. Genes within 3D hubs also show a significantly  stronger probability of coregulation across lineages, compared to genes in linear  proximity or within the same contact domains. By incorporating 3D chromatin  features, we build a novel predictive model for transcriptional regulation  (3D-HiChAT), which outperformed models that use only 1D promoter or proximal  variables in predicting levels and cell-type specificity of gene expression.  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