ReviewNature reviews. Genetics2013
Exploring the three-dimensional organization of genomes: interpreting chromatin interaction data.
Review in Nature reviews. Genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 613 papers.
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.
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.
Who cites it
613 citing papers in PubMed.
- CRISPR-Cas-based live cell imaging of genome dynamics.Nature reviews. Genetics · 2026Review
- TADs, CGVs, and compartmentalization in genomes: Providing a new way for crop domestication and improvement.Journal of integrative plant biology · 2026Review
- Article
- 3D Chromatin Architecture Provides Insights Into Leaf Trait Variation Among Pear Species.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Annotating Interchromosomal Interactions at Sub-Megabase Resolution Using Network Clustering Coefficients.bioRxiv : the preprint server for biology · 2026Article
- The gene revisited: historical foundations and postgenomic complexity.Theory in biosciences = Theorie in den Biowissenschaften · 2026Review
- UniversalEPI: robust prediction of cell type-specific and differential chromatin interactions from DNA sequence and chromatin accessibility.Nucleic acids research · 2026Article
- Connecting multiway enhancer-promoter interactions to changes in gene expression in cancer.bioRxiv : the preprint server for biology · 2026Article
- esBAF and INO80C fine-tune subcompartments and differentially regulate enhancer-promoter interactions.Genetics · 2026Article
- Molecular systems, human noncoding sequence variants, and blood pressure.Physiological reviews · 2026Review
- Robin: an advanced tool for comparative loop caller result analysis leveraging large language models.NAR genomics and bioinformatics · 2026Article
- Epigenome and interactome profiling uncovers principles of distal regulation in the barley genome.Cell genomics · 2026Article
- CNNKSCEC: a deep learning-based framework for chromatin loop prediction with multi-source feature integration.Frontiers in genetics · 2026Article
- Organization principles of dynamic three-dimensional genome architecture associated with centromere clustering states.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A split luciferase biosensing platform for detection and imaging of chromatin loops in individual live cells.Nucleic acids research · 2025Article
- Structural variants in the 3D genome as drivers of disease.Nature reviews. Genetics · 2025Review
- Organisation and dynamics of individual DNA segments in topologically complex genomes.Nucleic acids research · 2025Article
- A comprehensive benchmark of single-cell Hi-C embedding tools.Nature communications · 2025Article
- esBAF and INO80C fine-tune subcompartments and differentially regulate enhancer-promoter interactions.bioRxiv : the preprint server for biology · 2025Article
- Chromosome-level genome assembly of Ctenoplusia agnata and its potential application in Plusiinae pest management.Pest management science · 2025Article
553 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
How DNA is organized in three dimensions inside the cell nucleus and how this affects the ways in which cells access, read and interpret genetic information are among the longest standing questions in cell biology. Using newly developed molecular, genomic and computational approaches based on the chromosome conformation capture technology (such as 3C, 4C, 5C and Hi-C), the spatial organization of genomes is being explored at unprecedented resolution. Interpreting the increasingly large chromatin interaction data sets is now posing novel challenges. Here we describe several types of statistical and computational approaches that have recently been developed to analyse chromatin interaction data.
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Registered trials
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.