Evidence map›Paper›PMID 30010637›Full record

ArticleJournal of visualized experiments : JoVE2018

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

Stefan Schoenfelder, Biola-Maria Javierre, Mayra Furlan-Magaril, Steven W Wingett, Peter Fraser

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

80 citing papers in PubMed.

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  13. bioRxiv : the preprint server for biology · 2025
    Article
  14. Article
  15. Enhancer regulation in cancer: from epigenetics to mArchives of pharmacal research · 2025
    Review
  16. Article
  17. A 3D Genome Atlas of Genetic Variants and Their Pathological Effects in Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  18. Article
  19. Article
  20. Article

20 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Stefan SchoenfelderNuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus; stefan.schoenfelder@babraham.ac.uk.
Biola-Maria JavierreNuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus; IJC Building, Campus ICO-Germans Trias i Pujol, Josep Carreras Leukemia Research Institute; bmjavierre@carrerasresearch.org.
Mayra Furlan-MagarilNuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus; Departamento de Genética Molecular, Instituto de Fisiología Celular, Universidad Nacional Autónoma de México.
Steven W WingettNuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus; Bioinformatics Group, The Babraham Institute, Babraham Research Campus.
Peter FraserNuclear Dynamics Programme, The Babraham Institute, Babraham Research Campus; Department of Biological Science, Florida State University; peter.fraser@babraham.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/J004480/1Medical Research Council MR/L007150/1
6 · The paper itself

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.

Indexed as

Promoter Regions, GeneticAnimalsGenome-Wide Association StudyGenomicsHumansMiceRegulatory Sequences, Nucleic Acid

Identifiers

PMID30010637
PMCPMC6102006

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.