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Updated: Jul 20, 2025
Rare Event Detection Using Error-corrected DNA and RNA Sequencing
Published on: August 3, 2018
Single-cell third-generation sequencing-based multi-omics uncovers gene expression changes governed by ecDNA and
Lei Chang1,2,3,4, Enze Deng1,3, Jun Wang1,3
1GMU-GIBH Joint School of Life Sciences, Guangdong-Hong Kong-Macau Joint Laboratory for Cell Fate Regulation and Diseases, Guangzhou National Laboratory, Guangzhou Medical University, Guangzhou, Guangdong Province, P. R. China.
Background:
Cancer cells often exhibit large-scale genomic variations, such as circular extrachromosomal DNA (ecDNA) and structural variants (SVs), which have been highly correlated with the initiation and progression of cancer. Currently, no adequate method exists to unveil how these variations regulate gene expression in heterogeneous cancer cell populations at a single-cell resolution.
Methods:
Here, we developed a single-cell multi-omics sequencing method, scGTP-seq, to analyse ecDNA and SVs using long-read sequencing technologies.
Results And Conclusions:
We demonstrated that our method can efficiently detect ecDNA and SVs and illustrated how these variations affect transcriptomic changes in various cell lines. Finally, we applied and validated this method in a clinical sample of hepatocellular carcinoma (HCC), demonstrating a feasible way to monitor the evolution of ecDNA and SVs during cancer progression.
