Evidence map›Paper›PMID 35121852›Full record

ReviewNature protocols2022

Capture-C: a modular and flexible approach for high-resolution chromosome conformation capture.

Damien J Downes, Alastair L Smith, Magdalena A Karpinska, Taras Velychko, Kevin Rue-Albrecht, David Sims, Thomas A Milne, James O J Davies, A Marieke Oudelaar, Jim R Hughes

Erratum issuedAbstract readReview
In one paragraph

Review in Nature protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Crosstalk BetweenCancers · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. APhenomics (Cham, Switzerland) · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Noncoding RNA,Molecular and cellular biology · 2025
    Article
  19. CWL-Based Analysis Pipeline for Hi-C Data: From FASTQ Files to Matrices.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Damien J Downes *MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-5034-0869
Alastair L Smith *MRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0001-6330-1407
Magdalena A KarpinskaMax Planck Institute for Biophysical Chemistry, Göttingen, Germany.ORCID http://orcid.org/0000-0002-1516-2083
Taras VelychkoDepartment of Molecular Biology, Max Planck Institute for Biophysical Chemistry, Göttingen, Germany.ORCID http://orcid.org/0000-0003-4087-3730
Kevin Rue-AlbrechtMRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0003-3899-3872
David SimsMRC WIMM Centre for Computational Biology, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
Thomas A MilneMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-0413-4271
James O J DaviesMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-4108-4357
A Marieke OudelaarMax Planck Institute for Biophysical Chemistry, Göttingen, Germany. marieke.oudelaar@mpibpc.mpg.de.ORCID http://orcid.org/0000-0002-4016-6158
Jim R HughesMRC Molecular Haematology Unit, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK. jim.hughes@imm.ox.ac.uk.ORCID http://orcid.org/0000-0002-8955-7256

Funding

Medical Research Council MC_UU_00016/14Medical Research Council MC_UU_00016/6Medical Research Council MC_UU_00029/3Medical Research Council MC_UU_00029/4Medical Research Council MC_UU_12009/15Medical Research Council MR/R008108/1Wellcome Trust 098931Wellcome Trust 106130Wellcome Trust 204826Wellcome Trust (Wellcome) 098931/Z/12/ZWellcome Trust (Wellcome) 106130/Z/14/ZWellcome Trust (Wellcome) 204826/Z/16/Z
6 · The paper itself

Abstract

Chromosome conformation capture (3C) methods measure the spatial proximity between DNA elements in the cell nucleus. Many methods have been developed to sample 3C material, including the Capture-C family of protocols. Capture-C methods use oligonucleotides to enrich for interactions of interest from sequencing-ready 3C libraries. This approach is modular and has been adapted and optimized to work for sampling of disperse DNA elements (NuTi Capture-C), including from low cell inputs (LI Capture-C), as well as to generate Hi-C like maps for specific regions of interest (Tiled-C) and to interrogate multiway interactions (Tri-C). We present the design, experimental protocol and analysis pipeline for NuTi Capture-C in addition to the variations for generation of LI Capture-C, Tiled-C and Tri-C data. The entire procedure can be performed in 3 weeks and requires standard molecular biology skills and equipment, access to a next-generation sequencing platform, and basic bioinformatic skills. Implemented with other sequencing technologies, these methods can be used to identify regulatory interactions and to compare the structural organization of the genome in different cell types and genetic models.

Indexed as

ChromosomesDNAHigh-Throughput Nucleotide SequencingHumansNucleic Acid ConformationDNA

Identifiers

PMID35121852
PMCPMC7613269

What OpenQuestion holds

Textmetadata
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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.