Suppr超能文献

使用下一代测序进行酵母双杂交文库筛选的用户友好平台。

A user-friendly platform for yeast two-hybrid library screening using next generation sequencing.

机构信息

Ghent University, Department of Plant Biotechnology and Bioinformatics, Ghent, Belgium.

VIB Center for Plant Systems Biology, Ghent, Belgium.

出版信息

PLoS One. 2018 Dec 21;13(12):e0201270. doi: 10.1371/journal.pone.0201270. eCollection 2018.

Abstract

Yeast two-hybrid (Y2H) is a well-established genetics-based system that uses yeast to selectively display binary protein-protein interactions (PPIs). To meet the current need to unravel complex PPI networks, several adaptations have been made to establish medium- to high-throughput Y2H screening platforms, with several having successfully incorporated the use of the next-generation sequencing (NGS) technology to increase the scale and sensitivity of the method. However, these have been to date mainly restricted to the use of fully annotated custom-made open reading frame (ORF) libraries and subject to complex downstream data processing. Here, a streamlined Y2H library screening strategy, based on integration of Y2H with NGS, called Y2H-seq, was developed, which allows efficient and reliable screening of Y2H cDNA libraries. To generate proof of concept, the method was applied to screen for interaction partners of two key components of the jasmonate signaling machinery in the model plant Arabidopsis thaliana, resulting in the identification of several previously reported as well as hitherto unknown interactors. Our Y2H-seq method offers a user-friendly, specific and sensitive screening method that allows identification of PPIs without prior knowledge of the organism's ORFs, thereby extending the method to organisms of which the genome has not entirely been annotated yet. The quantitative NGS readout allows to increase genome coverage, thereby overcoming some of the bottlenecks of current Y2H technologies, which will further strengthen the value of the Y2H technology as a discovery platform.

摘要

酵母双杂交 (Y2H) 是一种成熟的基于遗传学的系统,利用酵母选择性地展示二元蛋白质-蛋白质相互作用 (PPIs)。为了满足当前揭示复杂 PPI 网络的需求,已经对其进行了几种改编,以建立中高通量 Y2H 筛选平台,其中一些已经成功地采用了下一代测序 (NGS) 技术来提高方法的规模和灵敏度。然而,迄今为止,这些主要限于使用完全注释的定制开放阅读框 (ORF) 文库,并且受到复杂的下游数据处理的限制。在这里,我们开发了一种基于 Y2H 与 NGS 整合的简化 Y2H 文库筛选策略,称为 Y2H-seq,该策略允许高效可靠地筛选 Y2H cDNA 文库。为了验证概念,该方法应用于筛选模式植物拟南芥中茉莉酸信号机制的两个关键组成部分的相互作用伙伴,结果鉴定了几个以前报道的以及以前未知的相互作用体。我们的 Y2H-seq 方法提供了一种用户友好、特异性和敏感性的筛选方法,无需事先了解生物体的 ORF 即可识别 PPI,从而将该方法扩展到尚未完全注释基因组的生物体。定量 NGS 读数允许增加基因组覆盖率,从而克服了当前 Y2H 技术的一些瓶颈,这将进一步增强 Y2H 技术作为发现平台的价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ac69/6303091/52940a6a5171/pone.0201270.g001.jpg

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