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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2019
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.
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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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