Evidence map›Paper›PMID 33397980›Full record

ArticleNature communications2021

Order and stochasticity in the folding of individual Drosophila genomes.

Sergey V Ulianov, Vlada V Zakharova, Aleksandra A Galitsyna, Pavel I Kos, Kirill E Polovnikov, Ilya M Flyamer, Elena A Mikhaleva, Ekaterina E Khrameeva, Diego Germini, Mariya D Logacheva and 8 more

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Article
  2. Article
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  4. Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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  12. Single-Cell Hi-C Technologies and Computational Data Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  13. Article
  14. Single-Cell Hi-C Analysis Workflow with Pairtools.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  15. ScHiCAtt: Enhancing single-cell Hi-C data resolution using attention-based models.Computational and structural biotechnology journal · 2025
    Article
  16. Review
  17. Article
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  19. Article
  20. Article
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

18 authors.

Sergey V UlianovInstitute of Gene Biology, Russian Academy of Sciences, Moscow, Russia.
Vlada V ZakharovaInstitute of Gene Biology, Russian Academy of Sciences, Moscow, Russia.
Aleksandra A GalitsynaSkolkovo Institute of Science and Technology, Moscow, Russia.ORCID 0000-0001-8969-5694
Pavel I KosFaculty of Physics, M.V. Lomonosov Moscow State University, Moscow, Russia.
Kirill E PolovnikovSkolkovo Institute of Science and Technology, Moscow, Russia.
Ilya M FlyamerMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-4892-4208
Elena A MikhalevaInstitute of Molecular Genetics, National Research Centre "Kurchatov Institute", Moscow, Russia.
Ekaterina E KhrameevaSkolkovo Institute of Science and Technology, Moscow, Russia.ORCID 0000-0001-6188-9139
Diego GerminiUMR9018, CNRS, Université Paris-Sud Paris-Saclay, Institut Gustave Roussy, Villejuif, France.
Mariya D LogachevaSkolkovo Institute of Science and Technology, Moscow, Russia.
Alexey A GavrilovInstitute of Gene Biology, Russian Academy of Sciences, Moscow, Russia.
Alexander S GorskyInstitute for Information Transmission Problems (the Kharkevich Institute), Russian Academy of Sciences, Moscow, Russia.
Sergey K NechaevInterdisciplinary Scientific Center Poncelet (CNRS UMI 2615), Moscow, Russia.
Mikhail S GelfandSkolkovo Institute of Science and Technology, Moscow, Russia.
Yegor S VassetzkyUMR9018, CNRS, Université Paris-Sud Paris-Saclay, Institut Gustave Roussy, Villejuif, France.
Alexander V ChertovichFaculty of Physics, M.V. Lomonosov Moscow State University, Moscow, Russia.
Yuri Y ShevelyovInstitute of Molecular Genetics, National Research Centre "Kurchatov Institute", Moscow, Russia.ORCID 0000-0002-0568-9236
Sergey V RazinInstitute of Gene Biology, Russian Academy of Sciences, Moscow, Russia. sergey.v.razin@usa.net.ORCID 0000-0003-1976-8661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mammalian and Drosophila genomes are partitioned into topologically associating domains (TADs). Although this partitioning has been reported to be functionally relevant, it is unclear whether TADs represent true physical units located at the same genomic positions in each cell nucleus or emerge as an average of numerous alternative chromatin folding patterns in a cell population. Here, we use a single-nucleus Hi-C technique to construct high-resolution Hi-C maps in individual Drosophila genomes. These maps demonstrate chromatin compartmentalization at the megabase scale and partitioning of the genome into non-hierarchical TADs at the scale of 100 kb, which closely resembles the TAD profile in the bulk in situ Hi-C data. Over 40% of TAD boundaries are conserved between individual nuclei and possess a high level of active epigenetic marks. Polymer simulations demonstrate that chromatin folding is best described by the random walk model within TADs and is most suitably approximated by a crumpled globule build of Gaussian blobs at longer distances. We observe prominent cell-to-cell variability in the long-range contacts between either active genome loci or between Polycomb-bound regions, suggesting an important contribution of stochastic processes to the formation of the Drosophila 3D genome.

Indexed as

Genome, InsectNucleic Acid ConformationAnimalsBiopolymersChromatinDatabases, GeneticDrosophila melanogasterEpigenesis, GeneticHaploidyModels, GeneticStochastic ProcessesX ChromosomeBiopolymersChromatin

Identifiers

PMID33397980
PMCPMC7782554

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Registered trials

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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.