Super-enhancers in the control of cell identity and disease.

By Denes Hnisz, B. Abraham, Tong Ihn Lee, Ashley Lau, Violaine Saint-André, A. Sigova, Heather A. Hoke, Richard A. Young. Cell, 2013

3,362 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/83b2ff1c475083104a94a4b561c81da8e8a630af

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Citations in the corpus

Control of cell identity genes occurs in insulated neighborhoods in mammalian chromosomes (2014, background): “P A A uthor M anuscript Super-enhancer Domain Structure Super-enhancers drive expression of key cell identity genes and are densely occupied by the transcription apparatus and its cofactors, including cohesin (Dowen et al., 2013; Hnisz et al., 2013).”
A Compendium of Chromatin Contact Maps Reveal Spatially Active Regions in the Human Genome (2016, neutral): “(C) Bar plot showing the observed overlap between actual FIRE bins and previously characterized typical enhancers (blue) (Hnisz et al., 2013) for each available cell line or tissue that has both Hi-C data and typical enhancer calls.”
Regulatory T Cells and Human Disease. (2020, background): “Recent genome-wide association studies of common polygenic autoimmune diseases have revealed that ∼60% of autoimmune-causal single-nucleotide polymorphisms (SNPs) are mapped to noncoding enhancer regions of immune cells (130–132), including cell type–specific superenhancers (132), and cell type–spec”
GENETICS AND PATHOGENESIS OF INFLAMMATORY BOWEL DISEASE (2016, background): “Super-enhancers are a group of transcriptional factors important for genes linked with cell identity and genetic risk of disease (49).”
Ever-changing landscapes: transcriptional enhancers in development and evolution (2016, background): “Indeed, key lineage genes in a given cell type tend to be associated with dense cluster(s) of highly active enhancers, often referred to as super-enhancers (Hnisz et al., 2013; Whyte et al., 2013).”
Partitioning heritability by functional annotation using genome-wide association summary statistics (2015, methodology): “We did not see a large enrichment of super-enhancers vs. regular enhancers; the estimates for enrichment were 1.8x (s.e. 0 .2) for super-enhancers vs. 1.6x (s.e. 0 .1) for regular enhancers from the same paper [19] (denoted “H3K27ac (Hnisz)” in Figure 4).”
dbSUPER: a database of super-enhancers in mouse and human genome (2015, methodology): “In cases where experimentally verified enhancer-gene assignments were available, genes were assigned to enhancers based on those studies (17).”