Evidence map›Paper›PMID 33047670›Full record

ArticleeLife2020

Exploring chromosomal structural heterogeneity across multiple cell lines.

Ryan R Cheng, Vinicius G Contessoto, Erez Lieberman Aiden, Peter G Wolynes, Michele Di Pierro, Jose N Onuchic

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.8field-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

32 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Article
  3. A data-driven chromatin model reveals spatial and dynamic features of genome organization.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
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  7. Energy landscape analysis of the development of the chromosome structure across the cell cycle.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
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  10. Review
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  12. Article
  13. Helical coiled nucleosome chromosome architectures during cell cycle progression.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. Article
  15. Article
  16. Review
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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 3 institutions in 2 countries.

Ryan R ChengCenter for Theoretical Biological Physics, Rice University, Houston, United States.ORCID 0000-0001-6378-295X
Vinicius G ContessotoCenter for Theoretical Biological Physics, Rice University, Houston, United States.ORCID 0000-0002-1891-9563
Erez Lieberman AidenCenter for Theoretical Biological Physics, Rice University, Houston, United States.
Peter G WolynesCenter for Theoretical Biological Physics, Rice University, Houston, United States.
Michele Di PierroCenter for Theoretical Biological Physics, Rice University, Houston, United States.
Jose N OnuchicCenter for Theoretical Biological Physics, Rice University, Houston, United States.ORCID 0000-0002-9448-0388
Center for Theoretical Biological Physics · USBaylor College of Medicine · USNortheastern University · US

Funding

GENOME WIDE MAPPING OF LOOPS USING IN SITU HI-CUM1HG009375 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI LIEBERMAN-AIDEN, EREZ · 2017 to 2021
$4.7M
Supplement - Beyond pairwise DNA contacts: exploring higher-order genome structure using proximity ligationU01HL130010 · NHLBI · BAYLOR COLLEGE OF MEDICINE · PI LIEBERMAN-AIDEN, EREZ · 2015 to 2019
$2.3M
TROPOMYOSINS IN NORMAL AND TRANSFORMED CELLSK04CA001304 · NCI · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI MATSUMURA, FUMIO · 1988 to 1992
–
Cancer Prevention and Research Institute of Texas R1304D. R. Bullard-Welch Chair at Rice University C-1792Higher Education Personnel Improvement Coordination 2017/09662-7National Science Foundation CHE-1614101National Science Foundation PHY-1427654National Science Foundation PHY-2019745NHGRI Center for Excellence for Genomic Sciences HG006193NHGRI NIH HHS UM1 HG009375NHLBI NIH HHS U01 HL130010NIH Office of the Director 1DP2OD008540-01Sao Paulo Research Foundation and Higher Education Personnel 2016/13998-8United States-Israel Binational Science Foundation 2019276USDA 559-6040-8-001Welch Foundation C-1792Welch Foundation Q-1866
6 · The paper itself

Abstract

Using computer simulations, we generate cell-specific 3D chromosomal structures and compare them to recently published chromatin structures obtained through microscopy. We demonstrate using machine learning and polymer physics simulations that epigenetic information can be used to predict the structural ensembles of multiple human cell lines. Theory predicts that chromosome structures are fluid and can only be described by an ensemble, which is consistent with the observation that chromosomes exhibit no unique fold. Nevertheless, our analysis of both structures from simulation and microscopy reveals that short segments of chromatin make two-state transitions between closed conformations and open dumbbell conformations. Finally, we study the conformational changes associated with the switching of genomic compartments observed in human cell lines. The formation of genomic compartments resembles hydrophobic collapse in protein folding, with the aggregation of denser and predominantly inactive chromatin driving the positioning of active chromatin toward the surface of individual chromosomal territories.

Indexed as

Cell LineCell Line, TumorChromatinChromosomes, HumanComputer SimulationEpigenesis, GeneticGenetic LociHumansImaging, Three-DimensionalChromatinchromosomesDNA tracingenergy landscape theoryepigeneticsgene expressiongenomic architectureHi-Chumanstructural heterogeneity

Identifiers

PMID33047670
PMCPMC7593087
OpenAlexW3092433196

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.