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首页> 外文期刊>Molecular & cellular proteomics: MCP >Quantitative Proteomic Analysis of Host-virus Interactions Reveals a Role for Golgi Brefeldin A Resistance Factor 1 (GBF1) in Dengue Infection
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Quantitative Proteomic Analysis of Host-virus Interactions Reveals a Role for Golgi Brefeldin A Resistance Factor 1 (GBF1) in Dengue Infection

机译:宿主病毒相互作用的定量蛋白质组学分析揭示了Golgi Brefeldin在登革热感染中的阻力因子1(GBF1)的作用

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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.
机译:登革热病毒被认为是全球最重要的蚊子传播病毒,在许多热带和亚热带的国家造成强大的经济和医疗保健负担。登革热感染诱导宿主内质网膜的急剧重新排列到复杂的膜结构壳体复合物中;宿主蛋白和该过程的途径的贡献较差,但​​可能是通过蛋白质 - 蛋白质相互作用介导的。我们开发了一种通过在病毒感染的背景下采用亲和标签和定量蛋白质组学获得高置信蛋白质 - 蛋白质相互作用数据的方法,然后是稳健的统计分析。使用这种方法,我们鉴定了NS5,病毒聚合酶和NS3,螺旋酶/蛋白酶的高置信相互作用。定量蛋白质组学使我们能够从我们的数据集中排除大量可能的非特异性互动者,并将高水平的信心赋予所产生的数据集。我们鉴定了53个宿主蛋白,与NS3可重复相关,NS3和41与NS3相关联,这些候选者中有13个数据集中。鉴定的宿主因子具有多样化的功能,包括逆行的高毒素到内质网传递,长链脂肪酰辅酶的生物合成,以及展开的蛋白质反应。我们选择GBF1,一种负责ARF激活的鸟嘌呤核苷酸交换因子,从NS5数据集进行后续和功能验证。我们表明GBF1在登革热的早期发挥着关键作用,这些作用与其在高尔基结构维持中的作用无关。重要的是,这里描述的方法可以应用于几乎任何生物/系统作为一种工具,以便更好地理解其分子相互作用。

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