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利用纳米孔测序和光学基因组图谱对肾肿瘤匹配样本进行长读长结构和表观遗传分析。

Long-read structural and epigenetic profiling of a kidney tumor-matched sample with nanopore sequencing and optical genome mapping.

作者信息

Margalit Sapir, Tulpová Zuzana, Detinis Zur Tahir, Michaeli Yael, Deek Jasline, Nifker Gil, Haldar Rita, Gnatek Yehudit, Omer Dorit, Dekel Benjamin, Baris Feldman Hagit, Grunwald Assaf, Ebenstein Yuval

机构信息

School of Chemistry, Raymond and Beverly Sackler Faculty of Exact Sciences, Tel Aviv University, 6997801 Tel Aviv, Israel.

Department of Biomedical Engineering, Tel Aviv University, 6997801 Tel Aviv, Israel.

出版信息

NAR Genom Bioinform. 2025 Jan 7;7(1):lqae190. doi: 10.1093/nargab/lqae190. eCollection 2025 Mar.

DOI:10.1093/nargab/lqae190
PMID:39781516
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11704781/
Abstract

Carcinogenesis often involves significant alterations in the cancer genome, marked by large structural variants (SVs) and copy number variations (CNVs) that are difficult to capture with short-read sequencing. Traditionally, cytogenetic techniques are applied to detect such aberrations, but they are limited in resolution and do not cover features smaller than several hundred kilobases. Optical genome mapping (OGM) and nanopore sequencing [Oxford Nanopore Technologies (ONT)] bridge this resolution gap and offer enhanced performance for cytogenetic applications. Additionally, both methods can capture epigenetic information as they profile native, individual DNA molecules. We compared the effectiveness of the two methods in characterizing the structural, copy number and epigenetic landscape of a clear cell renal cell carcinoma tumor. Both methods provided comparable results for basic karyotyping and CNVs, but differed in their ability to detect SVs of different sizes and types. ONT outperformed OGM in detecting small SVs, while OGM excelled in detecting larger SVs, including translocations. Differences were also observed among various ONT SV callers. Additionally, both methods provided insights into the tumor's methylome and hydroxymethylome. While ONT was superior in methylation calling, hydroxymethylation reports can be further optimized. Our findings underscore the importance of carefully selecting the most appropriate platform based on specific research questions.

摘要

肿瘤发生通常涉及癌症基因组的显著改变,其特征是存在大片段结构变异(SVs)和拷贝数变异(CNVs),而短读长测序难以捕捉这些变异。传统上,细胞遗传学技术用于检测此类畸变,但它们的分辨率有限,无法涵盖小于几百千碱基的特征。光学基因组图谱(OGM)和纳米孔测序[牛津纳米孔技术公司(ONT)]弥补了这一分辨率差距,并为细胞遗传学应用提供了更高的性能。此外,这两种方法在分析天然单个DNA分子时都能获取表观遗传信息。我们比较了这两种方法在表征透明细胞肾细胞癌肿瘤的结构、拷贝数和表观遗传图谱方面的有效性。两种方法在基本核型分析和CNVs方面提供了可比的结果,但在检测不同大小和类型的SVs的能力上有所不同。在检测小SVs方面,ONT优于OGM,而OGM在检测包括易位在内的较大SVs方面表现出色。在各种ONT SV调用程序之间也观察到了差异。此外,两种方法都提供了对肿瘤甲基化组和羟甲基化组的见解。虽然ONT在甲基化检测方面更具优势,但羟甲基化报告可以进一步优化。我们的研究结果强调了根据特定研究问题仔细选择最合适平台的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d555/11704781/2b3efca4eacf/lqae190fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d555/11704781/3d925bf4abd0/lqae190fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d555/11704781/31612476fc8c/lqae190fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d555/11704781/9f4d7d55add1/lqae190fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d555/11704781/9d35d2907b0e/lqae190fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d555/11704781/35647dba4f0d/lqae190fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d555/11704781/2b3efca4eacf/lqae190fig6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d555/11704781/3d925bf4abd0/lqae190fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d555/11704781/31612476fc8c/lqae190fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d555/11704781/9f4d7d55add1/lqae190fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d555/11704781/9d35d2907b0e/lqae190fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d555/11704781/35647dba4f0d/lqae190fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d555/11704781/2b3efca4eacf/lqae190fig6.jpg

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Nat Commun. 2024 Mar 19;15(1):2447. doi: 10.1038/s41467-024-46614-z.
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Detection of mosaic and population-level structural variants with Sniffles2.
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Nat Biotechnol. 2024 Oct;42(10):1571-1580. doi: 10.1038/s41587-023-02024-y. Epub 2024 Jan 2.
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Clinical Cytogenetics: Current Practices and Beyond.临床细胞遗传学:现状与未来。
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