Activity-by-contact model of enhancer–promoter regulation from thousands of CRISPR perturbations
Name
nihms-1541544.pdf
Description
Accepted version
Size
2.63 MB
Format
Adobe PDF
Checksum (MD5)
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Author(s)
Fulco, Charles P.
Nasser, Joseph
Jones, Thouis R.
Munson, Glen
Bergman, Drew T.
Subramanian, Vidya
Grossman, Sharon Rachel
Anyoha, Rockwell
Doughty, Benjamin R.
Patwardhan, Tejal A.
Date Issued
November 2019
Journal
Nature Genetics
Publisher
Springer Science and Business Media LLC
Citation
Fulco, Charles P. et al. "Activity-by-contact model of enhancer–promoter regulation from thousands of CRISPR perturbations." Nature Genetics 51, 12 (November 2019): 1664–1669 © 2019 The Author(s)
Version
Author's final manuscript
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 diseases1–4. Yet, we still do not know how enhancers regulate specific genes, and we lack general rules to predict enhancer–gene connections across cell types5,6. We developed an experimental approach, CRISPRi-FlowFISH, to perturb enhancers in the genome, and we applied it to test >3,500 potential enhancer–gene connections for 30 genes. We found that a simple activity-by-contact model substantially outperformed previous methods at predicting the complex connections in our CRISPR dataset. This activity-by-contact model allows us to construct genome-wide maps of enhancer–gene connections in a given cell type, on the basis of chromatin state measurements. Together, CRISPRi-FlowFISH and the activity-by-contact model provide a systematic approach to map and predict which enhancers regulate which genes, and will help to interpret the functions of the thousands of disease risk variants in the noncoding genome.
MIT Department
Broad Institute of MIT and Harvard
Massachusetts Institute of Technology. Department of Biology
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1038/s41588-019-0538-0
