Evidence map›Paper›PMID 34963059›Full record

ReviewStructure (London, England : 1993)2022

Integrative approaches in genome structure analysis.

Lorenzo Boninsegna, Asli Yildirim, Yuxiang Zhan, Frank Alber

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Structure (London, England : 1993), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Studying the impact of the nuclear topography on gene function.Nature structural & molecular biology · 2023
    Article
  7. Article
  8. 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

4 authors.

Lorenzo BoninsegnaInstitute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Microbiology, Immunology and Molecular Genetics, University of California Los Angeles, Los Angeles, CA 90095, USA.
Asli YildirimInstitute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Microbiology, Immunology and Molecular Genetics, University of California Los Angeles, Los Angeles, CA 90095, USA.
Yuxiang ZhanInstitute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Microbiology, Immunology and Molecular Genetics, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA.
Frank AlberInstitute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Microbiology, Immunology and Molecular Genetics, University of California Los Angeles, Los Angeles, CA 90095, USA; Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA 90089, USA. Electronic address: falber@g.ucla.edu.

Funding

Multiscale Analyses of 4D Nucleome Structure and Function by Comprehensive Multimodal Data IntegrationUM1HG011593 · NHGRI · CARNEGIE-MELLON UNIVERSITY · PI ALBER, FRANK, BELMONT, ANDREW STEVEN · 2020 to 2024
$10.4M
Mapping the 3D Genome LandscapeU54DK107981 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHEN, LIN · 2015 to 2019
$4.2M
NHGRI NIH HHS UM1 HG011593NIDDK NIH HHS U54 DK107981
6 · The paper itself

Abstract

New technological advances in integrated imaging, sequencing-based assays, and computational analysis have revolutionized our view of genomes in terms of their structure and dynamics in space and time. These advances promise a deeper understanding of genome functions and mechanistic insights into how the nucleus is spatially organized and functions. These wide arrays of complementary data provide an opportunity to produce quantitative integrative models of nuclear organization. In this article, we highlight recent key developments and discuss the outlook for these fields.

Indexed as

Cell NucleusChromosomes, HumanGenome, HumanHumansModels, MolecularMolecular Conformationgenome functiongenome structure modelinggenomics experimentsnuclear architecturesuper-resolution imaging

Identifiers

PMID34963059
PMCPMC8959402

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.