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Updated: Jul 2, 2025
10:34
Ultra-long Read Sequencing for Whole Genomic DNA Analysis
Published on: March 15, 2019
22.8K
CoRAL accurately resolves extrachromosomal DNA genome structures with long-read sequencing.
Kaiyuan Zhu1,2, Matthew G Jones3,2, Jens Luebeck1
1Department of Computer Science & Engineering, UC San Diego, La Jolla, CA, USA.
Biorxiv : the Preprint Server for Biology
|February 26, 2024
Summary
Extrachromosomal DNA (ecDNA) drives cancer evolution and drug resistance. CoRAL, a new long-read sequencing method, accurately reconstructs ecDNA structures, improving cancer genomic analysis.
Area of Science:
- Genomics
- Cancer Biology
- Bioinformatics
Background:
- Extrachromosomal DNA (ecDNA) drives oncogene amplification in ~15% of early and 30% of late-stage cancers.
- EcDNA's dynamic modulation of oncogene copy-number fuels tumor formation, evolution, and drug resistance.
- Understanding ecDNA genomic architecture is crucial for cancer pathology and therapy development.
Approach:
- Proposes CoRAL (Complete Reconstruction of Amplifications with Long reads) for ecDNA architecture reconstruction using long-read sequencing data.
- Employs quadratic programming to optimize reconstruction parsimony, copy number explanation, and read mapping consistency.
- Leverages long-read sequencing (e.g., Oxford Nanopore) to overcome short-read limitations in breakpoint identification and structural variant phasing.
Key Points:
- CoRAL significantly improves ecDNA reconstruction accuracy compared to short-read methods in simulations and real-world datasets.
- Long reads better span complex rearrangements and duplications inherent to ecDNA structures.
- Accurate ecDNA profiling is essential for understanding tumor evolution and therapeutic resistance.
Conclusions:
- CoRAL offers a robust method for detailed ecDNA profiling using long-read sequencing.
- This advancement is anticipated to enhance the study of focal amplifications in oncology.
- Widespread adoption of CoRAL will aid in profiling the landscape and evolution of tumor ecDNA.
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