Evidence map›Paper›PMID 30262815›Full record

ReviewNature genetics2018

Challenges and guidelines toward 4D nucleome data and model standards.

Marc A Marti-Renom, Genevieve Almouzni, Wendy A Bickmore, Kerstin Bystricky, Giacomo Cavalli, Peter Fraser, Susan M Gasser, Luca Giorgetti, Edith Heard, Mario Nicodemi and 4 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Physical models of bacterial chromosomes.Molecular microbiology · 2025
    Review
  4. The genome in space and time comes of age.Nucleus (Austin, Tex.) · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Understanding 3D genome organization by multidisciplinary methods.Nature reviews. Molecular cell biology · 2021
    Review
  15. 4D nucleome modeling.Current opinion in genetics & development · 2021
    Review
  16. Article
  17. FISH Going Meso-Scale: A Microscopic Search for Chromatin Domains.Frontiers in cell and developmental biology · 2021
    Review
  18. Review
  19. Article
  20. Review
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

14 authors.

Marc A Marti-RenomGene Regulation, Stem Cells and Cancer Program, CNAG-CRG, Centre for Genomic Regulation (CRG), Barcelona Institute of Science and Technology (BIST), Barcelona, Spain. martirenom@cnag.crg.eu.ORCID http://orcid.org/0000-0002-0151-4279
Genevieve AlmouzniInstitut Curie, PSL Research University, CNRS UMR3664, Paris, France.
Wendy A BickmoreMRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine at the University of Edinburgh, Edinburgh, UK.ORCID http://orcid.org/0000-0001-6660-7735
Kerstin BystrickyLaboratoire de Biologie Molécualire Eucaryote (LBME), Centre de Biologie Intégrative (CBI), University of Toulouse, UPS, CNRS, Toulouse, France.ORCID http://orcid.org/0000-0001-6717-3721
Giacomo CavalliInstitute of Human Genetics, UMR 9002 of the CNRS and the University of Montpellier, Montpellier, France.ORCID http://orcid.org/0000-0003-3709-3469
Peter FraserNuclear Dynamics Programme, The Babraham Institute, Cambridge, UK.ORCID http://orcid.org/0000-0002-0041-1227
Susan M GasserFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Luca GiorgettiFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.
Edith HeardInstitut Curie, PSL Research University, CNRS UMR3215, INSERM U934, Paris, France.
Mario NicodemiDipartimento di Fisica "E. Pancini", Università di Napoli "Federico II", INFN Sezione di Napoli, Naples, Italy.
Marcelo NollmannCentre de Biochimie Structurale, CNRS UMR5048, INSERM U1054, Universite de Montpellier, Montpellier, France.ORCID http://orcid.org/0000-0003-3339-2349
Modesto OrozcoInstitute for Research in Biomedicine Barcelona (IRB), The Barcelona Institute of Science and Technology (BIST), Barcelona, Spain.
Ana PomboBerlin Institute of Health, MDC-Berlin, Berlin, Germany.ORCID http://orcid.org/0000-0002-7493-6288
Maria-Elena Torres-PadillaInstitute of Epigenetics and Stem Cells (IES), Helmholtz Zentrum Munchen, München, Germany.ORCID http://orcid.org/0000-0002-1020-2074

Funding

Medical Research Council MC_PC_U127527202Medical Research Council MC_UU_00007/2
6 · The paper itself

Abstract

Due to recent advances in experimental and theoretical approaches, the dynamic three-dimensional organization (3D) of the nucleus has become a very active area of research in life sciences. We now understand that the linear genome is folded in ways that may modulate how genes are expressed during the basic functioning of cells. Importantly, it is now possible to build 3D models of how the genome folds within the nucleus and changes over time (4D). Because genome folding influences its function, this opens exciting new possibilities to broaden our understanding of the mechanisms that determine cell fate. However, the rapid evolution of methods and the increasing complexity of data can result in ambiguity and reproducibility challenges, which may hamper the progress of this field. Here, we describe such challenges ahead and provide guidelines to think about strategies for shared standardized validation of experimental 4D nucleome data sets and models.

Indexed as

GenomeGuidelines as TopicCell NucleusChromosomesData AggregationDatabases, GeneticDatasets as TopicGenomicsHumansMicroscopyMicroscopy, ElectronModels, TheoreticalNucleic Acid ConformationPhysical Chromosome MappingReference Standards

Identifiers

What OpenQuestion holds

Textmetadata
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.