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Mapping the evolving landscape of super-enhancers during cell differentiation.

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TLDR
In this paper, an unbiased approach was developed to systematically analyze the evolving landscape of super-enhancers during cell differentiation in multiple lineages, and the authors discovered a general trend where superenhancers emerge through three distinct temporal patterns: conserved, temporally hierarchical, and de novo.
Abstract
Background Super-enhancers are clusters of enhancer elements that play critical roles in the maintenance of cell identity. Current investigations on super-enhancers are centered on the established ones in static cell types. How super-enhancers are established during cell differentiation remains obscure. Results Here, by developing an unbiased approach to systematically analyze the evolving landscape of super-enhancers during cell differentiation in multiple lineages, we discover a general trend where super-enhancers emerge through three distinct temporal patterns: conserved, temporally hierarchical, and de novo. The three types of super-enhancers differ further in association patterns in target gene expression, functional enrichment, and 3D chromatin organization, suggesting they may represent distinct structural and functional subtypes. Furthermore, we dissect the enhancer repertoire within temporally hierarchical super-enhancers, and find enhancers that emerge at early and late stages are enriched with distinct transcription factors, suggesting that the temporal order of establishment of elements within super-enhancers may be directed by underlying DNA sequence. CRISPR-mediated deletion of individual enhancers in differentiated cells shows that both the early- and late-emerged enhancers are indispensable for target gene expression, while in undifferentiated cells early enhancers are involved in the regulation of target genes. Conclusions In summary, our analysis highlights the heterogeneity of the super-enhancer population and provides new insights to enhancer functions within super-enhancers.

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A Novel Defined Super-Enhancer Associated Gene Signature to Predict Prognosis in Patients With Diffuse Large B-Cell Lymphoma

TL;DR: A novel and reliable SE-associated-gene signature that can effectively classify DLBCL patients into high-risk and low-risk groups in terms of overall survival was developed, which may assist clinicians in the treatment ofDLBCL.
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Single-cell chromatin accessibility identifies enhancer networks driving gene expression during spinal cord development in mouse.

TL;DR: In this paper , single-cell chromatin accessibility landscapes in mouse neural tubes spanning embryonic days 9.5-13.5 were profiled and a novel computational method, eNet, was applied to build enhancer networks.
Posted ContentDOI

Complexity of enhancer networks predicts cell identity and disease genes revealed by single-cell multi-omics analysis

TL;DR: ENet is introduced, a computational method to build enhancer networks by integrating single-cell chromatin accessibility and gene expression profiles and outperforms the existing models in predicting cell identity and disease genes, such as super-enhancer and enhancer cluster.
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OUP accepted manuscript

TL;DR: In this article , the authors proposed a method to identify differential super enhancers by weighting the combinatorial effects of constituent-enhancer activities and locations (i.e. internal dynamics).
References
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Simple Combinations of Lineage-Determining Transcription Factors Prime cis-Regulatory Elements Required for Macrophage and B Cell Identities

TL;DR: It is demonstrated in macrophages and B cells that collaborative interactions of the common factor PU.1 with small sets of macrophage- or B cell lineage-determining transcription factors establish cell-specific binding sites that are associated with the majority of promoter-distal H3K4me1-marked genomic regions.
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Topological domains in mammalian genomes identified by analysis of chromatin interactions

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