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通过高效酵母三杂交筛选人 ORFeome 鉴定与登革热和 Zika 病毒亚基因组 RNA 结合的宿主因子。

Identification of host factors binding to dengue and Zika virus subgenomic RNA by efficient yeast three-hybrid screens of the human ORFeome.

机构信息

KU Leuven Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory of Virology and Chemotherapy, Leuven, Belgium.

Division of Paediatric Infectious Diseases, Ludwig-Maximilians-University Munich, Dr. Von Hauner Children's Hospital, Munich, Germany.

出版信息

RNA Biol. 2021 May;18(5):732-744. doi: 10.1080/15476286.2020.1868754. Epub 2021 Jan 18.

Abstract

Flaviviruses such as the dengue (DENV) and the Zika virus (ZIKV) are important human pathogens causing around 100 million symptomatic infections each year. During infection, small subgenomic flavivirus RNAs (sfRNAs) are formed inside the infected host cell as a result of incomplete degradation of the viral RNA genome by cellular exoribonuclease XRN1. Although the full extent of sfRNA functions is to be revealed, these non-coding RNAs are key virulence factors and their detrimental effects on multiple cellular processes seem to consistently involve molecular interactions with RNA-binding proteins (RBPs). Discovery of such sfRNA-binding host-factors has followed established biochemical pull-down approaches skewed towards highly abundant proteins hampering proteome-wide coverage. Yeast three-hybrid (Y3H) systems represent an attractive alternative approach. To facilitate proteome-wide screens for RBP, we revisited and improved existing RNA-Y3H methodology by (1) implementing full-length ORF libraries in combination with (2) efficient yeast mating to increase screening depth and sensitivity, and (3) stringent negative controls to eliminate over-representation of non-specific RNA-binders. These improvements were validated employing the well-characterized interaction between DDX6 (DEAD-box helicase 6) and sfRNA of DENV as paradigm. Our advanced Y3H system was used to screen for human proteins binding to DENV and ZIKV sfRNA, resulting in a list of 69 putative sfRNA-binders, including several previously reported as well as numerous novel RBP host factors. Our methodology requiring no sophisticated infrastructure or analytic pipeline may be employed for the discovery of meaningful RNA-protein interactions at large scale in other fields.

摘要

黄病毒属病毒(如登革热病毒[DENV]和寨卡病毒[ZIKV])是重要的人类病原体,每年导致约 1 亿例有症状感染。在感染过程中,由于细胞外切核糖核酸酶 XRN1 不完全降解病毒 RNA 基因组,小亚基因组黄病毒 RNA(sfRNA)在受感染的宿主细胞内形成。尽管 sfRNA 功能的全貌有待揭示,但这些非编码 RNA 是关键的毒力因子,它们对多种细胞过程的有害影响似乎始终涉及与 RNA 结合蛋白(RBP)的分子相互作用。这些 sfRNA 结合宿主因子的发现遵循了既定的生化下拉方法,这些方法偏向于高度丰富的蛋白质,从而阻碍了蛋白质组的全面覆盖。酵母三杂交(Y3H)系统是一种有吸引力的替代方法。为了促进 RBP 的蛋白质组广泛筛选,我们通过以下方式重新审视和改进现有的 RNA-Y3H 方法:(1)结合(2)高效的酵母交配来实施全长 ORF 文库,以增加筛选深度和灵敏度,以及(3)严格的阴性对照,以消除非特异性 RNA 结合物的过度表达。使用 DENV 的 DDX6(DEAD 框解旋酶 6)和 sfRNA 之间众所周知的相互作用作为范例验证了这些改进。我们的先进 Y3H 系统用于筛选与人 sfRNA 结合的蛋白质,结果产生了 69 个推定的 sfRNA 结合蛋白列表,其中包括几个先前报道的以及许多新的 RBP 宿主因子。我们的方法不需要复杂的基础设施或分析管道,可以用于在其他领域大规模发现有意义的 RNA-蛋白质相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5fff/8086697/77a94e5b15a7/KRNB_A_1868754_F0001_OC.jpg

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