Evidence map›Paper›PMID 31053705›Full record

ArticleNature communications2019

Integrating Hi-C and FISH data for modeling of the 3D organization of chromosomes.

Ahmed Abbas, Xuan He, Jing Niu, Bin Zhou, Guangxiang Zhu, Tszshan Ma, Jiangpeikun Song, Juntao Gao, Michael Q Zhang, Jianyang Zeng

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

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  8. Advancements and future directions in single-cell Hi-C based 3D chromatin modeling.Computational and structural biotechnology journal · 2024
    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

10 authors.

Ahmed AbbasInstitute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, 100084, China.
Xuan HeInstitute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, 100084, China.
Jing NiuDepartment of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing, 100084, China.
Bin ZhouSchool of Life Science, Tsinghua University, Beijing, 100084, China.
Guangxiang ZhuInstitute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, 100084, China.
Tszshan MaDepartment of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing, 100084, China.
Jiangpeikun SongSchool of Life Science, Tsinghua University, Beijing, 100084, China.
Juntao GaoMOE Key Laboratory of Bioinformatics; Bioinformatics Division, Center for Synthetic and Systems Biology, BNRist; Department of Automation, Tsinghua University; Center for Synthetic and Systems Biology, Tsinghua University, Beijing, 100084, China.
Michael Q ZhangDepartment of Basic Medical Sciences, School of Medicine, Tsinghua University, Beijing, 100084, China.
Jianyang ZengInstitute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, 100084, China. zengjy321@tsinghua.edu.cn.

Funding

Resource for Biocomputing Visualization and InformaticsP41GM103311 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 2012 to 2017
$8.2M
NIGMS NIH HHS P41 GM103311
6 · The paper itself

Abstract

The new advances in various experimental techniques that provide complementary information about the spatial conformations of chromosomes have inspired researchers to develop computational methods to fully exploit the merits of individual data sources and combine them to improve the modeling of chromosome structure. Here we propose GEM-FISH, a method for reconstructing the 3D models of chromosomes through systematically integrating both Hi-C and FISH data with the prior biophysical knowledge of a polymer model. Comprehensive tests on a set of chromosomes, for which both Hi-C and FISH data are available, demonstrate that GEM-FISH can outperform previous chromosome structure modeling methods and accurately capture the higher order spatial features of chromosome conformations. Moreover, our reconstructed 3D models of chromosomes revealed interesting patterns of spatial distributions of super-enhancers which can provide useful insights into understanding the functional roles of these super-enhancers in gene regulation.

Indexed as

Models, MolecularNucleic Acid ConformationCell LineChromatinChromosomesComputer SimulationDatasets as TopicEnhancer Elements, GeneticGenome, HumanHumansImaging, Three-DimensionalIn Situ Hybridization, FluorescenceChromatin

Identifiers

PMID31053705
PMCPMC6499832

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Registered trials

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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.