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Activity-by-Contact model of enhancer-promoter regulation from thousands of CRISPR perturbations
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(1–4). Yet, we still do not know how enhancers regulate specific genes, and we lack general rules to predict enhancer-gene conn...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886585/ https://www.ncbi.nlm.nih.gov/pubmed/31784727 http://dx.doi.org/10.1038/s41588-019-0538-0 |
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author | Fulco, Charles P. Nasser, Joseph Jones, Thouis R. Munson, Glen Bergman, Drew T. Subramanian, Vidya Grossman, Sharon R. Anyoha, Rockwell Doughty, Benjamin R. Patwardhan, Tejal A. Nguyen, Tung H. Kane, Michael Perez, Elizabeth M. Durand, Neva C. Lareau, Caleb A. Stamenova, Elena K. Aiden, Erez Lieberman Lander, Eric S. Engreitz, Jesse M. |
author_facet | Fulco, Charles P. Nasser, Joseph Jones, Thouis R. Munson, Glen Bergman, Drew T. Subramanian, Vidya Grossman, Sharon R. Anyoha, Rockwell Doughty, Benjamin R. Patwardhan, Tejal A. Nguyen, Tung H. Kane, Michael Perez, Elizabeth M. Durand, Neva C. Lareau, Caleb A. Stamenova, Elena K. Aiden, Erez Lieberman Lander, Eric S. Engreitz, Jesse M. |
author_sort | Fulco, Charles P. |
collection | PubMed |
description | 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(1–4). Yet, we still do not know how enhancers regulate specific genes, and we lack general rules to predict enhancer-gene connections across cell types(5,6). We developed an experimental approach, CRISPRi-FlowFISH, to perturb enhancers in the genome and applied it to test >3,500 potential enhancer-gene connections for 30 genes. We found that a simple Activity-by-Contact (ABC) model substantially outperformed previous methods at predicting the complex connections in our CRISPR dataset. This ABC model allows us to construct genome-wide maps of enhancer-gene connections in a given cell type based on chromatin state measurements. Together, CRISPRi-FlowFISH and the ABC 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. |
format | Online Article Text |
id | pubmed-6886585 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-68865852020-05-29 Activity-by-Contact model of enhancer-promoter regulation from thousands of CRISPR perturbations Fulco, Charles P. Nasser, Joseph Jones, Thouis R. Munson, Glen Bergman, Drew T. Subramanian, Vidya Grossman, Sharon R. Anyoha, Rockwell Doughty, Benjamin R. Patwardhan, Tejal A. Nguyen, Tung H. Kane, Michael Perez, Elizabeth M. Durand, Neva C. Lareau, Caleb A. Stamenova, Elena K. Aiden, Erez Lieberman Lander, Eric S. Engreitz, Jesse M. Nat Genet Article 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(1–4). Yet, we still do not know how enhancers regulate specific genes, and we lack general rules to predict enhancer-gene connections across cell types(5,6). We developed an experimental approach, CRISPRi-FlowFISH, to perturb enhancers in the genome and applied it to test >3,500 potential enhancer-gene connections for 30 genes. We found that a simple Activity-by-Contact (ABC) model substantially outperformed previous methods at predicting the complex connections in our CRISPR dataset. This ABC model allows us to construct genome-wide maps of enhancer-gene connections in a given cell type based on chromatin state measurements. Together, CRISPRi-FlowFISH and the ABC 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. 2019-11-29 2019-12 /pmc/articles/PMC6886585/ /pubmed/31784727 http://dx.doi.org/10.1038/s41588-019-0538-0 Text en 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:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Fulco, Charles P. Nasser, Joseph Jones, Thouis R. Munson, Glen Bergman, Drew T. Subramanian, Vidya Grossman, Sharon R. Anyoha, Rockwell Doughty, Benjamin R. Patwardhan, Tejal A. Nguyen, Tung H. Kane, Michael Perez, Elizabeth M. Durand, Neva C. Lareau, Caleb A. Stamenova, Elena K. Aiden, Erez Lieberman Lander, Eric S. Engreitz, Jesse M. Activity-by-Contact model of enhancer-promoter regulation from thousands of CRISPR perturbations |
title | Activity-by-Contact model of enhancer-promoter regulation from thousands of CRISPR perturbations |
title_full | Activity-by-Contact model of enhancer-promoter regulation from thousands of CRISPR perturbations |
title_fullStr | Activity-by-Contact model of enhancer-promoter regulation from thousands of CRISPR perturbations |
title_full_unstemmed | Activity-by-Contact model of enhancer-promoter regulation from thousands of CRISPR perturbations |
title_short | Activity-by-Contact model of enhancer-promoter regulation from thousands of CRISPR perturbations |
title_sort | activity-by-contact model of enhancer-promoter regulation from thousands of crispr perturbations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886585/ https://www.ncbi.nlm.nih.gov/pubmed/31784727 http://dx.doi.org/10.1038/s41588-019-0538-0 |
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