Evidence map›Paper›PMID 33953379›Full record

ReviewNature reviews. Molecular cell biology2021

Understanding 3D genome organization by multidisciplinary methods.

Ivana Jerkovic, Giacomo Cavalli

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Molecular cell biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 221 papers.

0numbers the graph read from it
0cells of the map it votes in
221citing 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

221 citing papers in PubMed.

  1. Integrative modeling of the genome structure and dynamics in fission yeast.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. Early Life Exposure to Air Pollutants and Childhood Asthma.Current allergy and asthma reports · 2026
    Review
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  8. 3D Chromatin Architecture Provides Insights Into Leaf Trait Variation Among Pear Species.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  20. Direct roles of long non-coding RNAs in transcription activation.Nature structural & molecular biology · 2026
    Review

161 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

2 authors.

Ivana JerkovicInstitute of Human Genetics, CNRS, University of Montpellier, Montpellier, France.ORCID http://orcid.org/0000-0001-9707-8303
Giacomo CavalliInstitute of Human Genetics, CNRS, University of Montpellier, Montpellier, France. giacomo.cavalli@igh.cnrs.fr.ORCID http://orcid.org/0000-0003-3709-3469

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how chromatin is folded in the nucleus is fundamental to understanding its function. Although 3D genome organization has been historically difficult to study owing to a lack of relevant methodologies, major technological breakthroughs in genome-wide mapping of chromatin contacts and advances in imaging technologies in the twenty-first century considerably improved our understanding of chromosome conformation and nuclear architecture. In this Review, we discuss methods of 3D genome organization analysis, including sequencing-based techniques, such as Hi-C and its derivatives, Micro-C, DamID and others; microscopy-based techniques, such as super-resolution imaging coupled with fluorescence in situ hybridization (FISH), multiplex FISH, in situ genome sequencing and live microscopy methods; and computational and modelling approaches. We describe the most commonly used techniques and their contribution to our current knowledge of nuclear architecture and, finally, we provide a perspective on up-and-coming methods that open possibilities for future major discoveries.

Indexed as

GenomeChromatinChromosome MappingChromosomesComputational BiologyHigh-Throughput Nucleotide SequencingHumansMicroscopyModels, MolecularSequence Analysis, DNAChromatin

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.