Evidence map›Paper›PMID 25961318›Full record

ArticlePloS one2015

Inter-chromosomal contact networks provide insights into Mammalian chromatin organization.

Stefanie Kaufmann, Christiane Fuchs, Mariya Gonik, Ekaterina E Khrameeva, Andrey A Mironov, Dmitrij Frishman

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

23 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Satellite DNAs and human sex chromosome variation.Seminars in cell & developmental biology · 2022
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Dynamic evolution of great ape Y chromosomes.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Computational Methods for Assessing Chromatin Hierarchy.Computational and structural biotechnology journal · 2018
    Review
  20. 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

6 authors at 4 institutions in 2 countries.

Stefanie KaufmannDepartment of Genome Oriented Bioinformatics, Technische Universität München, Wissenschaftszentrum Weihenstephan, Freising, Germany.
Christiane FuchsHelmholtz Zentrum München, German Research Center for Environmental Health, Institute of Computational Biology, Neuherberg, Germany; Technical University Munich, Institute for Mathematical Sciences, Garching, Germany.
Mariya GonikDepartment of Genome Oriented Bioinformatics, Technische Universität München, Wissenschaftszentrum Weihenstephan, Freising, Germany; Institute for Stroke and Dementia Research (ISD), Klinikum der Universität München, Munich, Germany.
Ekaterina E KhrameevaResearch and Training Center on Bioinformatics, Institute for Information Transmission Problems, RAS, Moscow, Russia.
Andrey A MironovDepartment of Bioengineering and Bioinformatics, M.V. Lomonosov Moscow State University, Moscow, Russia.
Dmitrij FrishmanDepartment of Genome Oriented Bioinformatics, Technische Universität München, Wissenschaftszentrum Weihenstephan, Freising, Germany; Institute for Bioinformatics and Systems Biology, HMGU German Research Center for Environmental Health, Neuherberg, Germany; Department of Bioinformatics, St Petersburg State Polytechnical University, St Petersburg, Russia.
Technical University of Munich · DEWeihenstephan-Triesdorf University of Applied Sciences · DEBioinformatics Institute · RULomonosov Moscow State University · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent advent of conformation capture techniques has provided unprecedented insights into the spatial organization of chromatin. We present a large-scale investigation of the inter-chromosomal segment and gene contact networks in embryonic stem cells of two mammalian organisms: humans and mice. Both interaction networks are characterized by a high degree of clustering of genome regions and the existence of hubs. Both genomes exhibit similar structural characteristics such as increased flexibility of certain Y chromosome regions and co-localization of centromere-proximal regions. Spatial proximity is correlated with the functional similarity of genes in both species. We also found a significant association between spatial proximity and the co-expression of genes in the human genome. The structural properties of chromatin are also species specific, including the presence of two highly interactive regions in mouse chromatin and an increased contact density on short, gene-rich human chromosomes, thereby indicating their central nuclear position. Trans-interacting segments are enriched in active marks in human and had no distinct feature profile in mouse. Thus, in contrast to interactions within individual chromosomes, the inter-chromosomal interactions in human and mouse embryonic stem cells do not appear to be conserved.

Indexed as

Epistasis, GeneticGene Regulatory NetworksGenomicsModels, GeneticAlgorithmsAnimalsChromatinChromosomes, MammalianCluster AnalysisEmbryonic Stem CellsEvolution, MolecularGene OntologyGenetic HeterogeneityHumansMiceMultigene FamilyChromatin

Identifiers

PMID25961318
PMCPMC4427453
OpenAlexW248603601

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.