Evidence map›Paper›PMID 37699658›Full record

ArticleGenome research2023

Chromatin loop dynamics during cellular differentiation are associated with changes to both anchor and internal regulatory features.

Marielle L Bond, Eric S Davis, Ivana Y Quiroga, Anubha Dey, Manjari Kiran, Michael I Love, Hyejung Won, Douglas H Phanstiel

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Repeat expansions inbioRxiv : the preprint server for biology · 2026
    Article
  9. Article
  10. Review
  11. Article
  12. Divergent 3D genome organization in livers of cave and surface morphs ofbioRxiv : the preprint server for biology · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. 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

8 authors at 2 institutions in 2 countries.

Marielle L BondCurriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.ORCID 0000-0002-8334-6095
Eric S DavisCurriculum in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.ORCID 0000-0003-4051-3217
Ivana Y QuirogaThurston Arthritis Research Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.ORCID 0000-0002-6799-0059
Anubha DeyDepartment of Systems and Computational Biology, University of Hyderabad, Hyderabad 500046, Telangana, India.
Manjari KiranDepartment of Systems and Computational Biology, University of Hyderabad, Hyderabad 500046, Telangana, India.
Michael I LoveDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.ORCID 0000-0001-8401-0545
Hyejung WonDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514, USA; douglas_phanstiel@med.unc.edu hyejung_won@med.unc.edu.ORCID 0000-0003-3651-0566
Douglas H PhanstielCurriculum in Genetics and Molecular Biology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA; douglas_phanstiel@med.unc.edu hyejung_won@med.unc.edu.ORCID 0000-0003-2123-0051
University of North Carolina at Chapel Hill · USUniversity of Hyderabad · IN

Funding

NRSA in GeneticsT32GM135128 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Daniel J McKay, JEFF J. SEKELSKY · 2020 to 2026
$5.1M
Mechanisms of Dynamic Chromatin Looping During Differentiation - Common Fund Data SupplementR35GM128645 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Douglas H. Phanstiel · 2018 to 2026
$3.4M
A Modular Framework for Accurate, Interpretable, and Reproducible Analysis of Long Read RNA-Seq DataR01HG009937 · NHGRI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael Isaiah Love, Robert Patro · 2018 to 2026
$2.8M
UNC Predoc Training Progr in Bioinformatics/Comp BiologyT32GM067553 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELSTON, TIMOTHY C · 2005 to 2019
$2.5M
pathQTL: Integrative Multi-Omics Causal Inference of Molecular Mechanisms Leading to Neuropsychiatric IllnessR01MH118349 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI LOVE, MICHAEL ISAIAH, STEIN, JASON LOUIS · 2019 to 2023
$2.4M
Deciphering Cell-type Specific Regulatory Landscape in Human BrainDP2MH122403 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI WON, HYEJUNG · 2019 to 2019
$2.3M
NHGRI NIH HHS R01 HG009937NIGMS NIH HHS R35 GM128645NIGMS NIH HHS T32 GM067553NIGMS NIH HHS T32 GM135128NIMH NIH HHS DP2 MH122403NIMH NIH HHS R01 MH118349
6 · The paper itself

Abstract

Three-dimensional (3D) chromatin structure has been shown to play a role in regulating gene transcription during biological transitions. Although our understanding of loop formation and maintenance is rapidly improving, much less is known about the mechanisms driving changes in looping and the impact of differential looping on gene transcription. One limitation has been a lack of well-powered differential looping data sets. To address this, we conducted a deeply sequenced Hi-C time course of megakaryocyte development comprising four biological replicates and 6 billion reads per time point. Statistical analysis revealed 1503 differential loops. Gained loop anchors were enriched for AP-1 occupancy and were characterized by large increases in histone H3K27ac (over 11-fold) but relatively small increases in CTCF and RAD21 binding (1.26- and 1.23-fold, respectively). Linear modeling revealed that changes in histone H3K27ac, chromatin accessibility, and JUN binding were better correlated with changes in looping than RAD21 and almost as well correlated as CTCF. Changes to epigenetic features between-rather than at-boundaries were highly predictive of changes in looping. Together these data suggest that although CTCF and RAD21 may be the core machinery dictating where loops form, other features (both at the anchors and within the loop boundaries) may play a larger role than previously anticipated in determining the relative loop strength across cell types and conditions.

Indexed as

ChromatinHistonesCCCTC-Binding FactorCell DifferentiationChromosomesCCCTC-Binding FactorChromatinHistones

Identifiers

PMID37699658
PMCPMC10547260
OpenAlexW4386691651

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.