Suppr超能文献

下一代测序文库定量的快速简易方案

Rapid and Easy Protocol for Quantification of Next-Generation Sequencing Libraries.

作者信息

Hawkins Steve F C, Guest Paul C

机构信息

Bioline Reagents Limited, Unit 16, The Edge Business Centre, London, UK.

Laboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas (UNICAMP), Campinas, Brazil.

出版信息

Methods Mol Biol. 2018;1735:343-350. doi: 10.1007/978-1-4939-7614-0_23.

Abstract

The emergence of next-generation sequencing (NGS) over the last 10 years has increased the efficiency of DNA sequencing in terms of speed, ease, and price. However, the exact quantification of a NGS library is crucial in order to obtain good data on sequencing platforms developed by the current market leader Illumina. Different approaches for DNA quantification are available currently and the most commonly used are based on analysis of the physical properties of the DNA through spectrophotometric or fluorometric methods. Although these methods are technically simple, they do not allow exact quantification as can be achieved using a real-time quantitative PCR (qPCR) approach. A qPCR protocol for DNA quantification with applications in NGS library preparation studies is presented here. This can be applied in various fields of study such as medical disorders resulting from nutritional programming disturbances.

摘要

在过去十年中,新一代测序(NGS)技术的出现提高了DNA测序在速度、便捷性和价格方面的效率。然而,为了在当前市场领先者Illumina开发的测序平台上获得良好的数据,对NGS文库进行精确量化至关重要。目前有不同的DNA定量方法,最常用的是基于分光光度法或荧光法对DNA物理性质的分析。尽管这些方法在技术上很简单,但它们无法像使用实时定量PCR(qPCR)方法那样实现精确量化。本文介绍了一种用于DNA定量的qPCR方案及其在NGS文库制备研究中的应用。这可应用于各种研究领域,如由营养编程紊乱导致的医学病症。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验