Reconstructing the three-dimensional architecture of extrachromosomal DNA with ec3D

Extrachromosomal DNAs (ecDNAs) are circular DNA molecules prevalent in human cancers that drive tumor evolution and drug resistance. Their circular topology, which disrupts topological domains and rewires regulatory circuits, has typically been studied via pairwise interactions. Here we develop ec3D, a computational method for reconstructing three-dimensional ecDNA structures from Hi-C data. Given a candidate ecDNA sequence and whole-genome Hi-C data, ec3D reconstructs spatial structures by maximizing the Poisson likelihood of observed interactions. We validate ec3D using simulated structures, previously characterized cancer cell lines, and microscopy imaging. Our reconstructions reveal that ecDNAs occupy spherical configurations and mediate unique long-range regulatory interactions involved in gene regulation. Through algorithmic innovations, ec3D can resolve complex structures with duplicated segments, identify multi-way interactions, and identify potential intermolecular (trans) interactions. Our findings provide insights into how ecDNA's spatial organization bypasses normal chromosomal constraints and contributes to increased oncogene expression.

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Publication Details

Journal
Nature Communications
Published
2025-12-20
DOI
https://doi.org/10.1038/s41467-025-67614-7
Citations
1
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
0.81
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article

Reconstructing the three-dimensional architecture of extrachromosomal DNA with ec3D

Anton George Henssen, Sihan Wu, Guy Nir, Biswanath Chowdhury et al.
1 citations
Nature Communications
Genomics and Chromatin Dynamics
0.81
article

Reconstructing the three-dimensional architecture of extrachromosomal DNA with ec3D

Anton George Henssen, Sihan Wu, Guy Nir, Biswanath Chowdhury, Jun Yi Stanley Lim, Vineet Bafna, Howard Y. Chang, Paul S. Mischel, Lukas Chávez, Owen S. Chapman, Jens Luebeck, Katerina Kraft, Jessica Alsing, Maria E. Stefanova, Shu Xin Zhang, Chaohui Li, Yulei Xie, Kaiyuan Zhu, Yoon Jung Kim
article en
1 citations

Abstract

Extrachromosomal DNAs (ecDNAs) are circular DNA molecules prevalent in human cancers that drive tumor evolution and drug resistance. Their circular topology, which disrupts topological domains and rewires regulatory circuits, has typically been studied via pairwise interactions. Here we develop ec3D, a computational method for reconstructing three-dimensional ecDNA structures from Hi-C data. Given a candidate ecDNA sequence and whole-genome Hi-C data, ec3D reconstructs spatial structures by maximizing the Poisson likelihood of observed interactions. We validate ec3D using simulated structures, previously characterized cancer cell lines, and microscopy imaging. Our reconstructions reveal that ecDNAs occupy spherical configurations and mediate unique long-range regulatory interactions involved in gene regulation. Through algorithmic innovations, ec3D can resolve complex structures with duplicated segments, identify multi-way interactions, and identify potential intermolecular (trans) interactions. Our findings provide insights into how ecDNA's spatial organization bypasses normal chromosomal constraints and contributes to increased oncogene expression.

Nature CommunicationsVol. 17(1)
Children's Medical Center (US), Amgen (United States) (US), Howard Hughes Medical Institute (US), Sanford Burnham Prebys Medical Discovery Institute (US), Max Delbrück Center (DE), Discovery Institute (US), Nagoya City University (JP), University of California San Diego (US), Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE), New York Genome Center (US), The University of Texas Medical Branch at Galveston (US), Charité - Universitätsmedizin Berlin (DE), The University of Texas Southwestern Medical Center (US), Stanford University (US)
Openalex Percentile: Top 21%
Genomics and Chromatin Dynamics
0.81
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