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Updated: Jun 9, 2025

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Published on: July 2, 2016

一种基于单链的库准备方法,用于病毒体表征.

Xichuan Zhai¹, Alex Gobbi^2,3, Witold Kot²

¹Section for Food Microbiology, Gut Health and Fermentation, Department of Food Science, University of Copenhagen, Rolighedsvej 26, Frederiksberg C, 1958, Denmark.

|October 25, 2024

概括

此摘要是机器生成的。

一种新的基于结合的单链库准备方法通过准确量化各种病毒基因组来增强肠道病毒组研究. 这种高效的技术提高了肠道微生物组研究的可复制性和可比性.

关键词:

DsDNA 病毒组肠道病毒组肠道病毒组修改后的核酸是什么菌体模拟社区的社区在RNA病毒组中,有RNA病毒组.单链式图书馆单链式图书馆一个SsDNA病毒组.

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Last Updated: Jun 9, 2025

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Unbiased Deep Sequencing of RNA Viruses from Clinical Samples

Published on: July 2, 2016

In Vitro Selection of Aptamers to Differentiate Infectious from Non-Infectious Viruses

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科学领域:

微生物学微生物学
病毒学病毒学
生物信息学是一种生物信息学.

背景情况:

肠道病毒组是肠道微生物组的关键组成部分,对肠道健康至关重要.
肠道病毒组的准确分析受到各种病毒基因组类型和拓学的阻碍.
目前的测序图书馆准备方法引入了偏差,限制了研究的可复制性和可比性.

研究的目的:

开发和验证用于肠道病毒组测序的通用和标准化图书馆准备方法.
为了克服与现有的图书馆准备技术相关的偏见.
提高肠道病毒组研究的准确性,可复制性和可比性.

主要方法:

重新利用和优化基于联结的单链库准备方法 (SSLR).
评估SSLR用于定量病毒DNA基因组 (dsDNA和ssDNA) 的效率.
将SSLR性能与Nextera,xGen和MDA+Nextera等现有方法进行比较.

主要成果:

SSLR方法在量化病毒DNA基因组方面表现出了卓越的效率.
在最小放大偏差,覆盖均性和基因组组装完整性方面,SSLR优于其他方法.
SSLR可以同时准备DNA和RNA病毒库,并捕获高度修饰的菌体基因组.

结论:

为肠道病毒组研究开发了一种基于结合的快速,简单和高效的单链DNA库准备方法.
这种方法与Illumina测序兼容,提供快速3小时的准备时间.
通过SSLR方法,可以显著提高肠道病毒研究的可比性和可重复性.