WeChat Mini Program
Old Version Features

Detection and Assembly of Extrachromosomal DNA in Tumors with Nanopore Sequencing

Cancer Research(2022)SCI 1区

Oxford Nanopore Technol

Cited 0|Views17
Abstract
In cancer, parts of linear chromosomes containing coding and regulatory sequences can become excised and form novel circular extrachromosomal DNA (ecDNA) molecules. Because ecDNA lack centromeres, their replication and segregation during cell division is not limited by laws of Mendelian inheritance. This allows ecDNA to drive rapid oncogene amplification and intra-tumor heterogeneity, leading to better tumor adaption to changing microenvironments and increasing the potential for drug treatment resistance. Detection and assembly of ecDNA plays an important role in cancer research and can help inform treatment. We present a computational workflow capable of detecting and assembling ecDNA in tumors by processing long nanopore reads at shallow whole genome coverage levels. Briefly, the workflow first identifies reference genomic regions with sample-specific excess in read-depth coverage (i.e. focal amplifications). Then long nanopore reads overlapping these regions are extracted and used as input for local de-novo assembly. Resulting assemblies are then refined to have a reference-based representation of ecDNA-comprising fragments, highlighting their new relative order, orientation, and structural differences from canonical reference/matching normal sample, followed by reporting of non-reference inserted sequences for further analysis (e.g., viral integration detection). We evaluate the proposed approach on low-pass whole genome nanopore sequencing data from a variety of ecDNA-containing cell lines. We observe that the proposed nanopore-based workflow detects ecDNA presence and assembles its amplicon structure in concordance with previously published results. We further demonstrate the stability of obtained results with ≤1x target WGS coverage levels, suggesting that the output obtained from a MinION nanopore sequencer would be suitable for conducting multi-site tumor multiplex sequencing for analyzing intra-tumor ecDNA abundance and structural heterogeneity. We show that the real-time nature of nanopore sequencing allows for detection and assembly of ecDNA elements within just a few hours of sequencing, paving the way for a rapid turnaround ecDNA analysis. Notably, because of the unique ability of nanopore reads to retain single-molecule methylation signals, the proposed workflow allows for identification of differentially methylated regions both across intra-tumor multi-site samples, as well as in a tumor vs normal comparison, thus shedding light in acquisition/loss of DNA modifications in ecDNA. These results show how nanopore sequencing can be used as cost- and time-effective stand-alone platform to detect ecDNA presence and analyze its structure, while also revealing the dimension of ecDNA methylation in tumor samples. Oxford Nanopore Technologies products are not intended for use for health assessment or to diagnose, treat, mitigate, cure, or prevent any disease or condition. Citation Format: Sergey Aganezov, John Beaulaurier, Eoghan Harrington, Sissel Juul. Detection and assembly of extrachromosomal DNA in tumors with nanopore sequencing [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2705.
More
Translated text
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本研究提出了一种基于纳米孔测序的计算工作流程,能够检测和组装肿瘤中的外染色质DNA(ecDNA),并通过实时测序分析ecDNA甲基化状态,为癌症研究和治疗提供了新的视角。

方法】:通过识别样本特定区域读段深度的过剩,提取重叠这些区域的长纳米孔读段,进行局部去噪新组装,并对比正常样本,揭示ecDNA的结构差异和插入序列。

实验】:该方法在含有ecDNA的多种细胞系的低通量全基因组纳米孔测序数据上进行了评估,检测到的ecDNA存在和组装的 amplicon 结构与已发表结果一致,且在≤1x目标全基因组测序覆盖率水平下结果稳定,说明适用于MinION纳米孔测序仪进行多肿瘤位点测序,分析肿瘤内ecDNA丰度和结构异质性。