Evidence map›Paper›PMID 31323043›Full record

ArticlePLoS genetics2019

Reorganization of 3D genome structure may contribute to gene regulatory evolution in primates.

Ittai E Eres, Kaixuan Luo, Chiaowen Joyce Hsiao, Lauren E Blake, Yoav Gilad

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
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

55 citing papers in PubMed, 95 citations in OpenAlex.

  1. Article
  2. Review
  3. Evolution of CTCF binding sites in the human genome.Molecular biology and evolution · 2026
    Article
  4. Article
  5. Genomic-microbial coevolution in human development: chromosome 2 fusion, and human accelerated regions.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
  6. Article
  7. Polymorphic 3D genome architecture mediated by transposable elements.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Functional genomics in Spiralia.Briefings in functional genomics · 2023
    Article
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 at 1 institution in 1 country.

Ittai E EresDepartment of Human Genetics, University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0002-0265-8194
Kaixuan LuoDepartment of Human Genetics, University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0003-1515-5737
Chiaowen Joyce HsiaoDepartment of Human Genetics, University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0001-8961-7522
Lauren E BlakeDepartment of Human Genetics, University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0002-6658-0808
Yoav GiladDepartment of Human Genetics, University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0001-8284-8926
University of Chicago · US

Funding

PREDOCTORAL TRAINING IN GENETICS AND REGULATIONT32GM007197 · NIGMS · UNIVERSITY OF CHICAGO · PI ROTHMAN-DENES, LUCIA B. B · 1985 to 2020
$17.0M
Genome analysis: statistical methods and applicationsR01HG002585 · NHGRI · UNIVERSITY OF WASHINGTON · PI MATTHEW STEPHENS · 2002 to 2026
$8.4M
Using single cell RNA-seq to study regulatory noise and robustnessR01GM122930 · NIGMS · UNIVERSITY OF CHICAGO · PI GILAD, YOAV · 2017 to 2019
$1.6M
Genome analysis: statistical methods and applicationsR56HG002585 · NHGRI · UNIVERSITY OF CHICAGO · PI STEPHENS, MATTHEW · 2023 to 2023
$292k
NHGRI NIH HHS R01 HG002585NHGRI NIH HHS R56 HG002585NIGMS NIH HHS R01 GM122930NIGMS NIH HHS T32 GM007197
6 · The paper itself

Abstract

A growing body of evidence supports the notion that variation in gene regulation plays a crucial role in both speciation and adaptation. However, a comprehensive functional understanding of the mechanisms underlying regulatory evolution remains elusive. In primates, one of the crucial missing pieces of information towards a better understanding of regulatory evolution is a comparative annotation of interactions between distal regulatory elements and promoters. Chromatin conformation capture technologies have enabled genome-wide quantifications of such distal 3D interactions. However, relatively little comparative research in primates has been done using such technologies. To address this gap, we used Hi-C to characterize 3D chromatin interactions in induced pluripotent stem cells (iPSCs) from humans and chimpanzees. We also used RNA-seq to collect gene expression data from the same lines. We generally observed that lower-order, pairwise 3D genomic interactions are conserved in humans and chimpanzees, but higher order genomic structures, such as topologically associating domains (TADs), are not as conserved. Inter-species differences in 3D genomic interactions are often associated with gene expression differences between the species. To provide additional functional context to our observations, we considered previously published chromatin data from human stem cells. We found that inter-species differences in 3D genomic interactions, which are also associated with gene expression differences between the species, are enriched for both active and repressive marks. Overall, our data demonstrate that, as expected, an understanding of 3D genome reorganization is key to explaining regulatory evolution.

Indexed as

AnimalsChromatin Assembly and DisassemblyComputational BiologyEvolution, MolecularGene Expression ProfilingGene Expression RegulationGenomeHumansPan troglodytesSequence Analysis, RNA

Identifiers

PMID31323043
PMCPMC6668850
OpenAlexW2963017755

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.