AI Article Synopsis

  • The three-dimensional structure of the genome plays a key role in how genes function, as regulatory elements like enhancers can significantly influence gene expression across large genomic distances.
  • The Promoter Capture Hi-C (PCHi-C) technique allows researchers to identify and analyze distal promoter-interacting regions (PIRs) by enriching promoter sequences and finding their interactions with enhancers and other regulatory elements.
  • Using PCHi-C, scientists have created detailed interaction maps for numerous human and mouse cell types, enhancing our understanding of gene regulation and its implications for human genetic diseases by linking non-coding variants to specific target genes.

Article 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6102006PMC
http://dx.doi.org/10.3791/57320DOI Listing

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