Evidence map›Paper›PMID 34793453›Full record

ArticlePLoS computational biology2021

Perspectives for the reconstruction of 3D chromatin conformation using single cell Hi-C data.

Pavel I Kos, Aleksandra A Galitsyna, Sergey V Ulianov, Mikhail S Gelfand, Sergey V Razin, Alexander V Chertovich

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Design Space and Declarative Grammar for 3D Genomic Data Visualization.IEEE transactions on visualization and computer graphics · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Single-Cell Hi-C Technologies and Computational Data Analysis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  10. Review
  11. Single-Cell Hi-C Analysis Workflow with Pairtools.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  12. Advancements and future directions in single-cell Hi-C based 3D chromatin modeling.Computational and structural biotechnology journal · 2024
    Review
  13. Replicating Chromosomes in Whole-Cell Models of Bacteria.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  14. [Advances in methods and applications of single-cell Hi-C data analysis].Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi · 2023
    Article
  15. Dynamics of chromosome organization in a minimal bacterial cell.Frontiers in cell and developmental biology · 2023
    Article
  16. Article
  17. 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

6 authors.

Pavel I KosFriedrich Miescher Institute for Biomedical Research, Basel, Switzerland.ORCID 0000-0002-3625-0939
Aleksandra A GalitsynaSkolkovo Institute of Science and Technology, Moscow, Russia.ORCID 0000-0001-8969-5694
Sergey V UlianovInstitute of Gene Biology, Russian Academy of Sciences, Moscow, Russia.
Mikhail S GelfandSkolkovo Institute of Science and Technology, Moscow, Russia.
Sergey V RazinInstitute of Gene Biology, Russian Academy of Sciences, Moscow, Russia.ORCID 0000-0003-1976-8661
Alexander V ChertovichSemenov Federal Research Center for Chemical Physics, Moscow, Russia.ORCID 0000-0001-9772-1573

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Construction of chromosomes 3D models based on single cell Hi-C data constitute an important challenge. We present a reconstruction approach, DPDchrom, that incorporates basic knowledge whether the reconstructed conformation should be coil-like or globular and spring relaxation at contact sites. In contrast to previously published protocols, DPDchrom can naturally form globular conformation due to the presence of explicit solvent. Benchmarking of this and several other methods on artificial polymer models reveals similar reconstruction accuracy at high contact density and DPDchrom advantage at low contact density. To compare 3D structures insensitively to spatial orientation and scale, we propose the Modified Jaccard Index. We analyzed two sources of the contact dropout: contact radius change and random contact sampling. We found that the reconstruction accuracy exponentially depends on the number of contacts per genomic bin allowing to estimate the reconstruction accuracy in advance. We applied DPDchrom to model chromosome configurations based on single-cell Hi-C data of mouse oocytes and found that these configurations differ significantly from a random one, that is consistent with other studies.

Indexed as

AlgorithmsAnimalsChromatinMiceProtein ConformationSingle-Cell AnalysisChromatin

Identifiers

PMID34793453
PMCPMC8601426

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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.