Suppr超能文献

植物中的降解组测序

Degradome Sequencing in Plants.

作者信息

Lin Shih-Shun, Chen Yihua, Lu Mei-Yeh Jade

机构信息

Institute of Biotechnology, National Taiwan University, Taipei, Taiwan.

High Throughput Genomics Core, Biodiversity Research Center, Academia Sinica, Taipei, Taiwan.

出版信息

Methods Mol Biol. 2019;1932:197-213. doi: 10.1007/978-1-4939-9042-9_15.

Abstract

Degradome sequencing provides large amounts of data regarding RNA degradation. The degradome library construction described here is modified from the 5'-rapid amplification of cDNA ends (5'-RACE), and each degradome cDNA is sequenced by next-generation sequencing (NGS). Degradome profiles provide information confirming miRNA-mediated cleavage of target genes and allow the identification of novel targets. Furthermore, degradome sequencing provides additional information for the study of RNA processing, such as information regarding RNA-binding proteins. In this chapter, we describe a detailed optimized protocol for constructing a degradome library with high yield and quality, along with NGS and data mining procedures. We hope that the degradome approach will be applied to further studies of non-model organisms.

摘要

降解组测序可提供大量有关RNA降解的数据。此处描述的降解组文库构建方法是对5'-cDNA末端快速扩增(5'-RACE)进行的改良,每个降解组cDNA通过新一代测序(NGS)进行测序。降解组图谱提供的信息可证实miRNA介导的靶基因切割,并有助于鉴定新的靶标。此外,降解组测序为RNA加工研究提供了额外信息,例如有关RNA结合蛋白的信息。在本章中,我们描述了一个详细的优化方案,用于构建高产高质量的降解组文库,以及NGS和数据挖掘程序。我们希望降解组方法将应用于非模式生物的进一步研究。

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