Evidence map›Paper›PMID 32987449›Full record

ReviewWiley interdisciplinary reviews. Developmental biology2021

The macro and micro of chromosome conformation capture.

Viraat Y Goel, Anders S Hansen

Open access · hybridAbstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Developmental biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

27 citing papers in PubMed, 48 citations in OpenAlex.

  1. CAD-C: An engineered nuclease enables repair-freebioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. IntegrativebioRxiv : the preprint server for biology · 2023
    Article
  14. Article
  15. Review
  16. Pairtools: from sequencing data to chromosome contacts.bioRxiv : the preprint server for biology · 2023
    Article
  17. Dynamics of chromosome organization in a minimal bacterial cell.Frontiers in cell and developmental biology · 2023
    Article
  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

2 authors at 1 institution in 1 country.

Viraat Y GoelDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID 0000-0002-5532-5756
Anders S HansenDepartment of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.ORCID 0000-0001-7540-7858
Massachusetts Institute of Technology · US

Funding

DYNAMIC BOTTOM-UP DISSECTION OF CHROMATIN LOOPING AND GENE REGULATIONDP2GM140938 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HANSEN, ANDERS SEJR · 2020 to 2020
$2.3M
Molecular mechanisms regulating chromatin looping in time and spaceR00GM130896 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI HANSEN, ANDERS SEJR · 2020 to 2022
$747k
NIGMS NIH HHS R00 GM130896
6 · The paper itself

Abstract

The 3D organization of the genome facilitates gene regulation, replication, and repair, making it a key feature of genomic function and one that remains to be properly understood. Over the past two decades, a variety of chromosome conformation capture (3C) methods have delineated genome folding from megabase-scale compartments and topologically associating domains (TADs) down to kilobase-scale enhancer-promoter interactions. Understanding the functional role of each layer of genome organization is a gateway to understanding cell state, development, and disease. Here, we discuss the evolution of 3C-based technologies for mapping 3D genome organization. We focus on genomics methods and provide a historical account of the development from 3C to Hi-C. We also discuss ChIP-based techniques that focus on 3D genome organization mediated by specific proteins, capture-based methods that focus on particular regions or regulatory elements, 3C-orthogonal methods that do not rely on restriction digestion and proximity ligation, and methods for mapping the DNA-RNA and RNA-RNA interactomes. We consider the biological discoveries that have come from these methods, examine the mechanistic contributions of CTCF, cohesin, and loop extrusion to genomic folding, and detail the 3D genome field's current understanding of nuclear architecture. Finally, we give special consideration to Micro-C as an emerging frontier in chromosome conformation capture and discuss recent Micro-C findings uncovering fine-scale chromatin organization in unprecedented detail. This article is categorized under: Gene Expression and Transcriptional Hierarchies > Regulatory Mechanisms Gene Expression and Transcriptional Hierarchies > Gene Networks and Genomics.

Indexed as

ChromatinChromosomesCell NucleusGenomePromoter Regions, GeneticChromatin3C technologies3D genomechromosome conformation capturegenomic organizationHi-CMicro-Cnuclear architecture

Identifiers

PMID32987449
PMCPMC8236208
OpenAlexW3091153836

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.