Evidence map›Paper›PMID 37580627›Full record

ArticleNature structural & molecular biology2023

Evaluating the role of the nuclear microenvironment in gene function by population-based modeling.

Asli Yildirim, Nan Hua, Lorenzo Boninsegna, Yuxiang Zhan, Guido Polles, Ke Gong, Shengli Hao, Wenyuan Li, Xianghong Jasmine Zhou, Frank Alber

Open access · hybridAbstract read
In one paragraph

Article in Nature structural & molecular biology, 2023. 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
4.2field-weighted citation impact, top 5% of its field
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, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Uncovering the Principles of Genome Folding by 3D Chromatin Modeling.Cold Spring Harbor perspectives in biology · 2022
    Review
  17. Integrative approaches in genome structure analysis.Structure (London, England : 1993) · 2022
    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

10 authors at 2 institutions in 1 country.

Asli YildirimInstitute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA, USA.
Nan HuaInstitute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA, USA.
Lorenzo BoninsegnaInstitute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0003-4529-3567
Yuxiang ZhanInstitute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA, USA.
Guido PollesInstitute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA, USA.
Ke GongInstitute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA, USA.
Shengli HaoInstitute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA, USA.
Wenyuan LiDepartment of Pathology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-5029-8525
Xianghong Jasmine ZhouDepartment of Pathology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-4522-7490
Frank AlberInstitute for Quantitative and Computational Biosciences, University of California Los Angeles, Los Angeles, CA, USA. falber@g.ucla.edu.ORCID http://orcid.org/0000-0003-1981-8390
QB3 · USUniversity of California, Los Angeles · US

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

The nuclear folding of chromosomes relative to nuclear bodies is an integral part of gene function. Here, we demonstrate that population-based modeling-from ensemble Hi-C data-provides a detailed description of the nuclear microenvironment of genes and its role in gene function. We define the microenvironment by the subnuclear positions of genomic regions with respect to nuclear bodies, local chromatin compaction, and preferences in chromatin compartmentalization. These structural descriptors are determined in single-cell models, thereby revealing the structural variability between cells. We demonstrate that the microenvironment of a genomic region is linked to its functional potential in gene transcription, replication, and chromatin compartmentalization. Some chromatin regions feature a strong preference for a single microenvironment, due to association with specific nuclear bodies in most cells. Other chromatin shows high structural variability, which is a strong indicator of functional heterogeneity. Moreover, we identify specialized nuclear microenvironments, which distinguish chromatin in different functional states and reveal a key role of nuclear speckles in chromosome organization. We demonstrate that our method produces highly predictive three-dimensional genome structures, which accurately reproduce data from a variety of orthogonal experiments, thus considerably expanding the range of Hi-C data analysis.

Indexed as

Cell NucleusChromatinChromosomesGenomeChromatin

Identifiers

PMID37580627
PMCPMC10442234
OpenAlexW4385805544

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.