scCirclehunter delineates ecDNA-containing cells using single-cell ATAC-seq, with a focus on glioblastoma

In cancer, extrachromosomal DNA (ecDNA) contributes to tumor heterogeneity and is associated with poor prognosis, but studies on patient-derived ecDNA are relatively limited at single-cell resolution. Here, we introduce scCirclehunter, a framework designed to identify ecDNA from scATAC-seq data and assign ecDNA to specific cell populations. Leveraging scCirclehunter and available glioblastoma (GBM) datasets, we uncover the inter-cellular heterogeneity of ecDNA-carrying cells across GBM patients and trace the trajectories of malignant cells within a single patient that harbors multiple ecDNAs. By integrating scRNA-seq data, we use ecNR2E1 as an example to demonstrate that ecDNA drives tumor progression in GBM through several mechanisms. Additionally, our findings suggest a potential link between ecDNA and increased mitochondrial transfer frequency. Overall, scCirclehunter provides a novel framework for analyzing patient-specific ecDNAs with single-cell precision, offering insights into the role of ecDNA-carrying cells in driving GBM heterogeneity.

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Publication Details

Journal
Cell Discovery
Published
2025-12-09
DOI
https://doi.org/10.1038/s41421-025-00842-9
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

scCirclehunter delineates ecDNA-containing cells using single-cell ATAC-seq, with a focus on glioblastoma

Yonghua Sang, Shufan Zhang, Yulun Huang, Chengliang Gong et al.
Cell Discovery
Single-cell and spatial transcriptomics
article

scCirclehunter delineates ecDNA-containing cells using single-cell ATAC-seq, with a focus on glioblastoma

Yonghua Sang, Shufan Zhang, Yulun Huang, Chengliang Gong, Jiong Jiong Guo, Manqiu Yang, Moli Huang, Zhengmao Lu, Yunyun Fei, Rong Jiang, Ping Wu, Yibei Zhu, Fang Li
article en

Abstract

In cancer, extrachromosomal DNA (ecDNA) contributes to tumor heterogeneity and is associated with poor prognosis, but studies on patient-derived ecDNA are relatively limited at single-cell resolution. Here, we introduce scCirclehunter, a framework designed to identify ecDNA from scATAC-seq data and assign ecDNA to specific cell populations. Leveraging scCirclehunter and available glioblastoma (GBM) datasets, we uncover the inter-cellular heterogeneity of ecDNA-carrying cells across GBM patients and trace the trajectories of malignant cells within a single patient that harbors multiple ecDNAs. By integrating scRNA-seq data, we use ecNR2E1 as an example to demonstrate that ecDNA drives tumor progression in GBM through several mechanisms. Additionally, our findings suggest a potential link between ecDNA and increased mitochondrial transfer frequency. Overall, scCirclehunter provides a novel framework for analyzing patient-specific ecDNAs with single-cell precision, offering insights into the role of ecDNA-carrying cells in driving GBM heterogeneity.

Cell DiscoveryVol. 11(1)
Second Military Medical University (CN), Soochow University (CN), Changhai Hospital (CN), Second Affiliated Hospital of Soochow University (CN), First Affiliated Hospital of Soochow University (CN)
National Natural Science Foundation of China, Priority Academic Program Development of Jiangsu Higher Education Institutions
Openalex Percentile: Top 65%
Single-cell and spatial transcriptomics
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