Evidence map›Paper›PMID 34092790›Full record

ArticleNature methods2021

Genome-wide detection of enhancer-hijacking events from chromatin interaction data in rearranged genomes.

Xiaotao Wang, Jie Xu, Baozhen Zhang, Ye Hou, Fan Song, Huijue Lyu, Feng Yue

Abstract read
In one paragraph

Article in Nature methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers.

0numbers the graph read from it
0cells of the map it votes in
105citing 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

105 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Mechanisms of enhancer-driven oncogene activation.International journal of cancer · 2026
    Review
  18. Review
  19. Article
  20. Article

45 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

7 authors.

Xiaotao WangDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA.
Jie XuDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA.
Baozhen ZhangDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-2307-9773
Ye HouDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA.
Fan SongDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA.
Huijue LyuDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA.
Feng YueDepartment of Biochemistry and Molecular Genetics, Feinberg School of Medicine Northwestern University, Chicago, IL, USA. Yue@northwestern.edu.ORCID http://orcid.org/0000-0002-7954-5462

Funding

Impact of genetic variants on gene regulation and 3D genome organization in human diseasesR35GM124820 · NIGMS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI Feng Yue · 2017 to 2026
$4.0M
Visualization, modeling and validation of chromatin interaction dataR01HG009906 · NHGRI · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI YUE, FENG · 2018 to 2022
$2.0M
NHGRI NIH HHS R01 HG009906NIGMS NIH HHS R35 GM124820
6 · The paper itself

Abstract

Recent efforts have shown that structural variations (SVs) can disrupt three-dimensional genome organization and induce enhancer hijacking, yet no computational tools exist to identify such events from chromatin interaction data. Here, we develop NeoLoopFinder, a computational framework to identify the chromatin interactions induced by SVs, including interchromosomal translocations, large deletions and inversions. Our framework can automatically resolve complex SVs, reconstruct local Hi-C maps surrounding the breakpoints, normalize copy number variation and allele effects and predict chromatin loops induced by SVs. We applied NeoLoopFinder in Hi-C data from 50 cancer cell lines and primary tumors and identified tens of recurrent genes associated with enhancer hijacking. To experimentally validate NeoLoopFinder, we deleted the hijacked enhancers in prostate adenocarcinoma cells using CRISPR-Cas9, which significantly reduced expression of the target oncogene. In summary, NeoLoopFinder enables identification of critical oncogenic regulatory elements that can potentially reveal therapeutic targets.

Indexed as

Enhancer Elements, GeneticGenome, HumanGenomic Structural VariationAlgorithmsChromatinCRISPR-Cas SystemsDevelopmental DisabilitiesHumansK562 CellsProtein BindingReal-Time Polymerase Chain ReactionChromatin

Identifiers

PMID34092790
PMCPMC8191102

What OpenQuestion holds

Textmetadata
LicenceTDM
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.