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使用牛津纳米孔技术对DNA甲基化进行可靠研究。

Reliable investigation of DNA methylation using Oxford nanopore technologies.

作者信息

Doshi Raj, Kinnear Evan, Chatterjee Sujan, Guha Prasun, Liu Qian

机构信息

School of Life Sciences, College of Sciences, University of Nevada, Las Vegas, Las Vegas, NV, 89154, USA.

Nevada Institute of Personalized Medicine, University of Nevada, Las Vegas, Las Vegas, NV, 89154, USA.

出版信息

Sci Rep. 2025 May 7;15(1):15900. doi: 10.1038/s41598-025-99882-0.

Abstract

Oxford Nanopore Technologies (ONT) offers an efficient and effective solution for studying DNA methylation. Both R9.4.1 and R10.4.1 ONT chemistries have been widely used to generate numerous DNA methylation data, making it inevitable to conduct cross-ONT-chemistry methylation analysis. However, the two ONT chemistries have unique designs and may cause potential bias in methylation detection, complicating cross-chemistry methylation investigation. In this study, we sequenced two pairs of wild-type and their knockout samples using R9.4.1 and R10.4.1 chemistries and investigated the concordance and bias of the two pairs of ONT methylation data. Although we confirmed high concordances of methylation data generated by the two ONT chemistries and the improvement of R10 chemistry in repeat regions, we found that both chemistries possess detection bias for methylation. Thus, cross-ONT-chemistry methylation studies identified hundreds of thousands of differential methylation sites caused by chemistry variabilities. We also explored different methods to calculate coverage and methylation percentages. Our evaluations provide valuable recommendations for cross-ONT-chemistry methylation analysis and suggest better practices for robust methylation investigation.

摘要

牛津纳米孔技术公司(ONT)为研究DNA甲基化提供了一种高效且有效的解决方案。ONT的R9.4.1和R10.4.1两种化学技术都已被广泛用于生成大量的DNA甲基化数据,因此进行跨ONT化学技术的甲基化分析成为必然。然而,这两种ONT化学技术有着独特的设计,可能会在甲基化检测中导致潜在偏差,使得跨化学技术的甲基化研究变得复杂。在本研究中,我们使用R9.4.1和R10.4.1化学技术对两对野生型及其基因敲除样本进行了测序,并研究了这两对ONT甲基化数据的一致性和偏差。尽管我们证实了两种ONT化学技术生成的甲基化数据具有高度一致性,以及R10化学技术在重复区域的改进,但我们发现这两种化学技术在甲基化检测方面都存在偏差。因此,跨ONT化学技术的甲基化研究发现了由化学技术差异导致的数十万个体细胞甲基化差异位点。我们还探索了计算覆盖率和甲基化百分比的不同方法。我们的评估为跨ONT化学技术的甲基化分析提供了有价值的建议,并为可靠的甲基化研究提出了更好的实践方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1b9d/12059031/86cb72b2a6d2/41598_2025_99882_Fig1_HTML.jpg

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