Evidence map›Paper›PMID 33963348›Full record

ArticleNature methods2021

Comparison of the Hi-C, GAM and SPRITE methods using polymer models of chromatin.

Luca Fiorillo, Francesco Musella, Mattia Conte, Rieke Kempfer, Andrea M Chiariello, Simona Bianco, Alexander Kukalev, Ibai Irastorza-Azcarate, Andrea Esposito, Alex Abraham and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Nature methods, 2021. 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 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
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  7. Review
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  10. Bridging spatial and temporal scales of developmental gene regulation.Current opinion in genetics & development · 2025
    Review
  11. Article
  12. Review
  13. Insulation between adjacent TADs is controlled by the width of their boundaries through distinct mechanisms.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Review
  15. Article
  16. Article
  17. Mapping the 3D genome architecture.Computational and structural biotechnology journal · 2025
    Review
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Luca Fiorillo *Dipartimento di Fisica, Università di Napoli Federico II and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, Naples, Italy.ORCID http://orcid.org/0000-0003-2967-0123
Francesco Musella *Dipartimento di Fisica, Università di Napoli Federico II and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, Naples, Italy.
Mattia Conte *Dipartimento di Fisica, Università di Napoli Federico II and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, Naples, Italy.ORCID http://orcid.org/0000-0002-6670-9800
Rieke KempferBerlin Institute for Medical Systems Biology, Max-Delbrück Centre for Molecular Medicine, Berlin, Germany.
Andrea M ChiarielloDipartimento di Fisica, Università di Napoli Federico II and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, Naples, Italy.ORCID http://orcid.org/0000-0002-6112-0167
Simona BiancoDipartimento di Fisica, Università di Napoli Federico II and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, Naples, Italy.ORCID http://orcid.org/0000-0001-5819-060X
Alexander KukalevBerlin Institute for Medical Systems Biology, Max-Delbrück Centre for Molecular Medicine, Berlin, Germany.
Ibai Irastorza-AzcarateBerlin Institute for Medical Systems Biology, Max-Delbrück Centre for Molecular Medicine, Berlin, Germany.
Andrea EspositoDipartimento di Fisica, Università di Napoli Federico II and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, Naples, Italy.ORCID http://orcid.org/0000-0002-5903-8439
Alex AbrahamDipartimento di Fisica, Università di Napoli Federico II and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, Naples, Italy.ORCID http://orcid.org/0000-0003-3533-6543
Antonella PriscoCNR-IGB, Naples, Italy.
Ana PomboBerlin Institute for Medical Systems Biology, Max-Delbrück Centre for Molecular Medicine, Berlin, Germany.ORCID http://orcid.org/0000-0002-7493-6288
Mario NicodemiDipartimento di Fisica, Università di Napoli Federico II and INFN Napoli, Complesso Universitario di Monte Sant'Angelo, Naples, Italy. mario.nicodemi@na.infn.it.ORCID http://orcid.org/0000-0002-8416-6416

Funding

San Diego Center for 4D Nucleome ResearchU54DK107977 · NIDDK · LUDWIG INSTITUTE FOR CANCER RES LTD · PI REN, BING · 2015 to 2019
$9.4M
Center for Integrated Multi-modal and Multi-scale Nucleome ResearchUM1HG011585 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DULAC, CATHERINE, LEIN, ED · 2020 to 2024
$6.7M
NHGRI NIH HHS UM1 HG011585NIDDK NIH HHS U54 DK107977
6 · The paper itself

Abstract

Hi-C, split-pool recognition of interactions by tag extension (SPRITE) and genome architecture mapping (GAM) are powerful technologies utilized to probe chromatin interactions genome wide, but how faithfully they capture three-dimensional (3D) contacts and how they perform relative to each other is unclear, as no benchmark exists. Here, we compare these methods in silico in a simplified, yet controlled, framework against known 3D structures of polymer models of murine and human loci, which can recapitulate Hi-C, GAM and SPRITE experiments and multiplexed fluorescence in situ hybridization (FISH) single-molecule conformations. We find that in silico Hi-C, GAM and SPRITE bulk data are faithful to the reference 3D structures whereas single-cell data reflect strong variability among single molecules. The minimal number of cells required in replicate experiments to return statistically similar contacts is different across the technologies, being lowest in SPRITE and highest in GAM under the same conditions. Noise-to-signal levels follow an inverse power law with detection efficiency and grow with genomic distance differently among the three methods, being lowest in GAM for genomic separations >1 Mb.

Indexed as

Models, ChemicalAnimalsChromatinChromosome MappingComputer SimulationHumansMicePolymersSingle-Cell AnalysisSingle Molecule ImagingChromatinPolymers

Identifiers

PMID33963348
PMCPMC8416658

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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.