Evidence map›Paper›PMID 28604723›Full record

ArticleNature methods2017

FISH-ing for captured contacts: towards reconciling FISH and 3C.

Geoffrey Fudenberg, Maxim Imakaev

Open access · greenAbstract read
In one paragraph

Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed
8.3field-weighted citation impact, top 2% 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

83 citing papers in PubMed, 142 citations in OpenAlex.

  1. Genome-wide absolute quantification of chromatin looping.Nature structural & molecular biology · 2026
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  10. Interrogating the regulatory epigenome of cellular senescence.Cellular and molecular life sciences : CMLS · 2025
    Review
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  12. Understanding and Simulating the Dynamics of a Polymer-Like Chromatin.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  13. Article
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  20. Determining the Compaction State of Genes Using DNA FISH.Methods in molecular biology (Clifton, N.J.) · 2024
    Article

23 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 at 1 institution in 1 country.

Geoffrey FudenbergCenter for the 3D Structure and Physics of the Genome, and Institute for Medical Engineering and Science (IMES), Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Maxim ImakaevCenter for the 3D Structure and Physics of the Genome, and Institute for Medical Engineering and Science (IMES), Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
Massachusetts Institute of Technology · US

Funding

Center for 3D Structure and Physics of the GenomeU54DK107980 · NIDDK · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI DEKKER, JOB, MIRNY, LEONID A · 2015 to 2019
$14.9M
Polymer models of mitotic and interphase chromosomesR01GM114190 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MIRNY, LEONID A · 2015 to 2023
$2.8M
NIDDK NIH HHS U54 DK107980NIGMS NIH HHS R01 GM114190
6 · The paper itself

Abstract

Chromosome conformation capture (3C) and fluorescence in situ hybridization (FISH) are two widely used technologies that provide distinct readouts of 3D chromosome organization. While both technologies can assay locus-specific organization, how to integrate views from 3C, or genome-wide Hi-C, and FISH is far from solved. Contact frequency, measured by Hi-C, and spatial distance, measured by FISH, are often assumed to quantify the same phenomena and used interchangeably. Here, however, we demonstrate that contact frequency is distinct from average spatial distance, both in polymer simulations and in experimental data. Performing a systematic analysis of the technologies, we show that this distinction can create a seemingly paradoxical relationship between 3C and FISH, both in minimal polymer models with dynamic looping interactions and in loop-extrusion simulations. Together, our results indicate that cross-validation of Hi-C and FISH should be carefully designed, and that jointly considering contact frequency and spatial distance is crucial for fully understanding chromosome organization.

Indexed as

ChromosomesAnimalsChromosome MappingComputer SimulationGenetic TechniquesGenome-Wide Association StudyIn Situ Hybridization, FluorescenceModels, Biological

Identifiers

PMID28604723
PMCPMC5517086
OpenAlexW2622774366

What OpenQuestion holds

Textmetadata
LicenceTDM
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.