2019
DOI: 10.1038/s41588-019-0538-0
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Activity-by-contact model of enhancer–promoter regulation from thousands of CRISPR perturbations

Abstract: Enhancer elements in the human genome control how genes are expressed in specific cell types and harbor thousands of genetic variants that influence risk for common diseases [1][2][3][4] . Yet, we still do not know how enhancers regulate specific genes, and we lack general rules to predict enhancer-Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:

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Cited by 780 publications
(1,213 citation statements)
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“…Strikingly, replacing the sequence of this single regulatory element is sufficient to cause a more than two-fold increase in expression, which reveals that this repressor element has a major effect on Tdrd7 expression. This result contrasts previous findings that perturbations of individual regulatory elements generally have no measurable or only a small effect on gene expression (47)(48)(49)(50)(51)(52)(53). Previously-observed robustness at the transcriptional level can be attributed to functional redundancy, whereby multiple regulatory elements control the expression of a gene and a substantial change in gene expression can only be achieved by perturbations of multiple elements (50).…”
Section: Discussioncontrasting
confidence: 94%
“…Strikingly, replacing the sequence of this single regulatory element is sufficient to cause a more than two-fold increase in expression, which reveals that this repressor element has a major effect on Tdrd7 expression. This result contrasts previous findings that perturbations of individual regulatory elements generally have no measurable or only a small effect on gene expression (47)(48)(49)(50)(51)(52)(53). Previously-observed robustness at the transcriptional level can be attributed to functional redundancy, whereby multiple regulatory elements control the expression of a gene and a substantial change in gene expression can only be achieved by perturbations of multiple elements (50).…”
Section: Discussioncontrasting
confidence: 94%
“…4k). Finally, we predicted likely enhancers using the recently developed activity-by-contact (ABC) model 36 , which integrates H3K27ac ChIP-seq, Hi-C, and gene expression data with chromatin accessibility to predict enhancers and link them to their target genes (Methods). Using this method, we were able to identify sets of high-confidence putative enhancers for each cell type and their likely target genes ( Fig.…”
Section: Single Cell Chromatin State Profiling Reveals Candidate Cellmentioning
confidence: 99%
“…The Activity-by-Contact (ABC) model 36 (https://github.com/broadinstitute/ABC-Enhancer-Gene-Prediction) was used for prediction of enhancer-gene interactions from scATACseq data. Cluster-specific ATAC-seq signal and peak outputs from MACS2 were used as inputs.…”
Section: Enhancer-gene Predicted Interactionsmentioning
confidence: 99%
“…A recently introduced extension of CRISPRi targets intergenic regulators along with fluorescent in situ hybridization against genes in the same chromodomain to identify regulatortarget pairs. Fluorescence-intensity sorting into bins and subsequent RNA sequencing of stained cells then could be used to pair regulators (via guide RNA sequence) and target genes (altered fluorescent intensity associated to a guide RNA's presence) (88). While this assay was performed in K562 cells, it is not hard to envision its extension to neural cell types in vitro or in vivo.…”
Section: Mpras Enable Identification Of Functional Regulators and Varmentioning
confidence: 99%