ReviewChromosoma2017
Chromosome conformation capture technologies and their impact in understanding genome function.
Review in Chromosoma, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 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
105 citing papers in PubMed.
- Decoding chromosome organization using proximity labeling and long-read sequencing.Journal of genetics and genomics = Yi chuan xue bao · 2026Article
- Cross-cell-line conservation-resolved interactions reveal conservation-dependent relationships among CTCF loops.BMC genomics · 2026Article
- Architecture and regulation of nanoscale chromatin domains.Nature communications · 2026Review
- A polymer physics model of the interphase cell nucleus for radiobiological simulations.Scientific reports · 2026Article
- Cookbook for plant genome sequences.BMC genomics · 2026Review
- An experimentally-informed polymer model reveals high resolution organization of genomic loci.Nature communications · 2026Article
- Chromatin folding by the Polycomb group proteins and its elusive role in epigenetic repression.The FEBS journal · 2026Review
- Understanding the physical processes behind DNA-DNA proximity ligation assays.Research square · 2025Article
- Integrating Hi-C data and RNA-seq data to reveal the 3D genome in sheep.BMC genomics · 2025Article
- Review
- Generating three-dimensional genome structures with a variational quantum algorithm.Briefings in bioinformatics · 2025Article
- Mapping chromatin interactions at melanoma susceptibility loci uncovers distant cis-regulatory gene targets.American journal of human genetics · 2025Article
- Article
- Understanding the physical processes behind DNA-DNA proximity ligation assays.bioRxiv : the preprint server for biology · 2025Article
- scHiGex: predicting single-cell gene expression based on single-cell Hi-C data.NAR genomics and bioinformatics · 2025Article
- Analysis of Transcriptional Regulation in Bone Cells.Methods in molecular biology (Clifton, N.J.) · 2025Article
- CWL-Based Analysis Pipeline for Hi-C Data: From FASTQ Files to Matrices.Methods in molecular biology (Clifton, N.J.) · 2025Article
- A high-quality chromosome-level reference genome assembly of Tibetan antelope (Pantholops hodgsonii).Scientific data · 2024Article
- Generation of densely labeled oligonucleotides for the detection of small genomic elements.Cell reports methods · 2024Article
- How Transcription Factor Clusters Shape the Transcriptional Landscape.Biomolecules · 2024Review
45 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
2 authors.
Funding
Abstract
It has been more than a decade since the first chromosome conformation capture (3C) assay was described. The assay was originally devised to measure the frequency with which two genomic loci interact within the three-dimensional (3D) nuclear space. Over time, this method has evolved both qualitatively and quantitatively, from detection of pairwise interaction of two unique loci to generating maps for the global chromatin interactome. Combined with the analysis of the epigenetic chromatin context, these advances led to the unmasking of general genome folding principles. The evolution of 3C-based methods has been supported first by the revolution in ChIP and then by sequencing-based approaches, methods that were primarily tools to study the unidimensional genome. The gradual improvement of 3C-based methods illustrates how the field adapted to the need to gradually address more subtle questions, beginning with enquiries of reductionist nature to reach more holistic perspectives, as the technology advanced, in a process that is greatly improving our knowledge on genome behavior and regulation. Here, we describe the evolution of 3C and other 3C-based methods for the analysis of chromatin interactions, along with a brief summary of their contribution in uncovering the significance of the three-dimensional world within the nucleus. We also discuss their inherent limitations and caveats in order to provide a critical view of the power and the limits of this technology.
Indexed as
Identifiers
27130552What OpenQuestion holds
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.