Evidence map›Paper›PMID 31266973›Full record

ArticleScientific reports2019

A subset of topologically associating domains fold into mesoscale core-periphery networks.

Harvey Huang, Sunnia T Chen, Katelyn R Titus, Daniel J Emerson, Danielle S Bassett, Jennifer E Phillips-Cremins

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.6field-weighted citation impact, top 15% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

  1. ATRX: From Chromatin Remodeling to Disease.Genesis (New York, N.Y. : 2000) · 2025
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. SBTD: A Novel Method for Detecting Topological Associated Domains from Hi-C Data.Interdisciplinary sciences, computational life sciences · 2021
    Article
  8. Article
  9. Article
  10. 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 at 2 institutions in 1 country.

Harvey HuangDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Sunnia T ChenDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Katelyn R TitusDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Daniel J EmersonDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Danielle S BassettDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA.ORCID http://orcid.org/0000-0002-6183-4493
Jennifer E Phillips-CreminsDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, PA, 19104, USA. jcremins@seas.upenn.edu.ORCID http://orcid.org/0000-0002-4702-0450
University of Pennsylvania · USUniversity of the Sciences · US

Funding

Engineering and visualizing genome folding at high spatiotemporal resolutionU01HL129998 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI BLOBEL, GERD A, PHILLIPS-CREMINS, JENNIFER ELIZABETH · 2015 to 2019
$4.2M
Engineering 3-D Epigenome Topology with LightDP2MH110247 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI PHILLIPS-CREMINS, JENNIFER ELIZABETH · 2015 to 2015
$2.4M
CRCNS: US-France Modeling & Predicting BCI Learning from Dynamic NetworksR01HD086888 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI BASSETT, DANIELLE SMITH · 2015 to 2018
$506k
NHLBI NIH HHS U01 HL129998NICHD NIH HHS R01 HD086888NIMH NIH HHS DP2 MH110247
6 · The paper itself

Abstract

Mammalian genomes are folded into a hierarchy of compartments, topologically associating domains (TADs), subTADs, and long-range looping interactions. The higher-order folding patterns of chromatin contacts within TADs and how they localize to disease-associated single nucleotide variants (daSNVs) remains an open area of investigation. Here, we analyze high-resolution Hi-C data with graph theory to understand possible mesoscale network architecture within chromatin domains. We identify a subset of TADs exhibiting strong core-periphery mesoscale structure in embryonic stem cells, neural progenitor cells, and cortical neurons. Hyper-connected core nodes co-localize with genomic segments engaged in multiple looping interactions and enriched for occupancy of the architectural protein CCCTC binding protein (CTCF). CTCF knockdown and in silico deletion of CTCF-bound core nodes disrupts core-periphery structure, whereas in silico mutation of cell type-specific enhancer or gene nodes has a negligible effect. Importantly, neuropsychiatric daSNVs are significantly more likely to localize with TADs folded into core-periphery networks compared to domains devoid of such structure. Together, our results reveal that a subset of TADs encompasses looping interactions connected into a core-periphery mesoscale network. We hypothesize that daSNVs in the periphery of genome folding networks might preserve global nuclear architecture but cause local topological and functional disruptions contributing to human disease. By contrast, daSNVs co-localized with hyper-connected core nodes might cause severe topological and functional disruptions. Overall, these findings shed new light into the mesoscale network structure of fine scale genome folding within chromatin domains and its link to common genetic variants in human disease.

Indexed as

Models, BiologicalCCCTC-Binding FactorChromatin Assembly and DisassemblyChromosomesEmbryonic Stem CellsGenomeHumansMental DisordersNeural Stem CellsNeuronsPolymorphism, Single NucleotideRNA InterferenceCCCTC-Binding Factor

Identifiers

PMID31266973
PMCPMC6606598
OpenAlexW2954176787

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.