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J Vis Exp. 2018 Jun 28;(136). doi: 10.3791/57320.

Promoter Capture Hi-C: High-resolution, Genome-wide Profiling of Promoter Interactions.

Author information

1
Nuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus; stefan.schoenfelder@babraham.ac.uk.
2
Nuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus; IJC Building, Campus ICO-Germans Trias i Pujol, Josep Carreras Leukemia Research Institute; bmjavierre@carrerasresearch.org.
3
Nuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus; Departamento de Genética Molecular, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México.
4
Nuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus; Bioinformatics Group, The Babraham Institute, Babraham Research Campus.
5
Nuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus; Department of Biological Science, Florida State University; peter.fraser@babraham.ac.uk.

Abstract

The three-dimensional organization of the genome is linked to its function. For example, regulatory elements such as transcriptional enhancers control the spatio-temporal expression of their target genes through physical contact, often bridging considerable (in some cases hundreds of kilobases) genomic distances and bypassing nearby genes. The human genome harbors an estimated one million enhancers, the vast majority of which have unknown gene targets. Assigning distal regulatory regions to their target genes is thus crucial to understand gene expression control. We developed Promoter Capture Hi-C (PCHi-C) to enable the genome-wide detection of distal promoter-interacting regions (PIRs), for all promoters in a single experiment. In PCHi-C, highly complex Hi-C libraries are specifically enriched for promoter sequences through in-solution hybrid selection with thousands of biotinylated RNA baits complementary to the ends of all promoter-containing restriction fragments. The aim is to then pull-down promoter sequences and their frequent interaction partners such as enhancers and other potential regulatory elements. After high-throughput paired-end sequencing, a statistical test is applied to each promoter-ligated restriction fragment to identify significant PIRs at the restriction fragment level. We have used PCHi-C to generate an atlas of long-range promoter interactions in dozens of human and mouse cell types. These promoter interactome maps have contributed to a greater understanding of mammalian gene expression control by assigning putative regulatory regions to their target genes and revealing preferential spatial promoter-promoter interaction networks. This information also has high relevance to understanding human genetic disease and the identification of potential disease genes, by linking non-coding disease-associated sequence variants in or near control sequences to their target genes.

PMID:
30010637
PMCID:
PMC6102006
DOI:
10.3791/57320
[Indexed for MEDLINE]
Free PMC Article

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