Carpp Lindsay N, Rogers Richard S, Moritz Robert L, Aitchison John D
From the ‡Seattle Biomedical Research Institute, 307 Westlake Avenue North, Suite 500, Seattle, Washington 98109;
‖Institute for Systems Biology, 401 Terry Ave N, Seattle, WA 98109.
Mol Cell Proteomics. 2014 Nov;13(11):2836-54. doi: 10.1074/mcp.M114.038984. Epub 2014 May 22.
Dengue virus is considered to be the most important mosquito-borne virus worldwide and poses formidable economic and health care burdens on many tropical and subtropical countries. Dengue infection induces drastic rearrangement of host endoplasmic reticulum membranes into complex membranous structures housing replication complexes; the contribution(s) of host proteins and pathways to this process is poorly understood but is likely to be mediated by protein-protein interactions. We have developed an approach for obtaining high confidence protein-protein interaction data by employing affinity tags and quantitative proteomics, in the context of viral infection, followed by robust statistical analysis. Using this approach, we identified high confidence interactors of NS5, the viral polymerase, and NS3, the helicase/protease. Quantitative proteomics allowed us to exclude a large number of presumably nonspecific interactors from our data sets and imparted a high level of confidence to our resulting data sets. We identified 53 host proteins reproducibly associated with NS5 and 41 with NS3, with 13 of these candidates present in both data sets. The host factors identified have diverse functions, including retrograde Golgi-to-endoplasmic reticulum transport, biosynthesis of long-chain fatty-acyl-coenzyme As, and in the unfolded protein response. We selected GBF1, a guanine nucleotide exchange factor responsible for ARF activation, from the NS5 data set for follow up and functional validation. We show that GBF1 plays a critical role early in dengue infection that is independent of its role in the maintenance of Golgi structure. Importantly, the approach described here can be applied to virtually any organism/system as a tool for better understanding its molecular interactions.
登革病毒被认为是全球最重要的蚊媒病毒,给许多热带和亚热带国家带来了巨大的经济和医疗负担。登革病毒感染会导致宿主内质网膜剧烈重排,形成容纳复制复合体的复杂膜结构;宿主蛋白和信号通路在这一过程中的作用尚不清楚,但可能是通过蛋白质-蛋白质相互作用介导的。我们开发了一种方法,在病毒感染的背景下,通过使用亲和标签和定量蛋白质组学来获得高可信度的蛋白质-蛋白质相互作用数据,随后进行稳健的统计分析。使用这种方法,我们鉴定出了病毒聚合酶NS5和解旋酶/蛋白酶NS3的高可信度相互作用蛋白。定量蛋白质组学使我们能够从数据集中排除大量可能的非特异性相互作用蛋白,并赋予我们所得数据集高度的可信度。我们鉴定出53种宿主蛋白可重复性地与NS5相关,41种与NS3相关,其中13种候选蛋白同时存在于两个数据集中。鉴定出的宿主因子具有多种功能,包括高尔基体到内质网的逆行运输、长链脂肪酰辅酶A的生物合成以及未折叠蛋白反应。我们从NS5数据集中选择了一种负责ARF激活的鸟嘌呤核苷酸交换因子GBF1进行后续研究和功能验证。我们发现GBF1在登革病毒感染早期发挥关键作用,且该作用与其在维持高尔基体结构中的作用无关。重要的是,这里描述的方法几乎可以应用于任何生物体/系统,作为更好地理解其分子相互作用的工具。