Identification of the Novel Host Protein Interacting With the Structural Protein VP1 of Chinese Sacbrood Virus by Yeast Two-Hybrid Screening

Zhang, Xiyan; Fei, Dongliang; Sun, Li; Li, Ming; Ma, Yueyu; Wang, Chen; Huang, Sichao; Ma, Mai‐Juan

doi:10.3389/fmicb.2019.02192

Cited by 11 publications

(3 citation statements)

References 46 publications

(54 reference statements)

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“…DNA viruses, such as Epstein-Barr virus (6). Because Y2H relies on heterologous expression of cDNA libraries in yeast, it opens up the study of many virus-host protein interactions, even if tractable cell culture models and/or high-quality proteomes are not readily available, as is the case for many viruses that infect arthropods (7,8). Identification of direct one-to-one interactions is biochemically advantageous because it is more likely that the interaction can be dissected in vitro if the interaction is direct.…”

Section: Yeast Two-hybridmentioning

confidence: 99%

Systems Biology of Virus-Host Protein Interactions: From Hypothesis Generation to Mechanisms of Replication and Pathogenesis

et al. 2022

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As obligate intracellular parasites, all viruses must co-opt cellular machinery to facilitate their own replication. Viruses often co-opt these cellular pathways and processes through physical interactions between viral and host proteins. In addition to facilitating fundamental aspects of virus replication cycles, these virus-host protein interactions can also disrupt physiological functions of host proteins, causing disease that can be advantageous to the virus or simply a coincidence. Consequently, unraveling virus-host protein interactions can serve as a window into molecular mechanisms of virus replication and pathogenesis. Identifying virus-host protein interactions using unbiased systems biology approaches provides an avenue for hypothesis generation. This review highlights common systems biology approaches for identification of virus-host protein interactions and the mechanistic insights revealed by these methods. We also review conceptual innovations using comparative and integrative systems biology that can leverage global virus-host protein interaction data sets to more rapidly move from hypothesis generation to mechanism. Expected final online publication date for the Annual Review of Virology, Volume 9 is September 2022. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Section: Yeast Two-hybridmentioning

confidence: 99%

Systems Biology of Virus-Host Protein Interactions: From Hypothesis Generation to Mechanisms of Replication and Pathogenesis

et al. 2022

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“…The size of VP2 (32 kDa) and VP3 (28 kDa) is similar to that of other picornavirus capsid proteins, and VP2 has been reported to exhibit good immunogenicity ( Fei et al, 2020 ). Previous studies have shown that the structural proteins of Iflavirus are involved in viral invasion and replication ( Brutscher et al, 2016 ; Kalynych et al, 2016 ; Procházková et al, 2018 ; Zhang et al, 2019 ). We speculated that the structural proteins of DWV also exert a similar effect.…”

Section: Introductionmentioning

confidence: 99%

Interaction between the VP2 protein of deformed wing virus and host snapin protein and its effect on viral replication

Sun¹,

Li²,

Ma³

et al. 2023

Front. Microbiol.

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IntroductionDeformed wing virus (DWV) is one of the causative agents of colony collapse disorder. The structural protein of DWV plays a vital role in the process of viral invasion and host infection; however, there is limited research on DWV.Methods and ResultsIn this study, we screened the host protein snapin, which can interact with the VP2 protein of DWV, using the yeast two-hybrid system. Through computer simulation and GST pull-down and CO-IP assays, an interaction between snapin and VP2 was confirmed. Furthermore, immunofluorescence and co-localization experiments revealed that VP2 and snapin primarily co-localized in the cytoplasm. Consequently, RNAi was used to interfere with the expression of snapin in worker bees to examine the replication of DWV after the interference. After silencing of snapin, the replication of DWV in worker bees was significantly downregulated. Hence, we speculated that snapin was associated with DWV infection and involved in at least one stage of the viral life cycle. Finally, we used an online server to predict the interaction domains between VP2 and snapin, and the results indicate that the interaction domain of VP2 was approximately located at 56–90, 136–145, 184–190, and 239–242 aa and the snapin interaction domain was approximately located at 31–54 and 115–136 aa.ConclusionThis research confirmed that DWV VP2 protein could interacts with the snapin of host protein, which provides a theoretical basis for further investigation of its pathogenesis and development of targeted therapeutic drugs.

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“…Affinity purification methods are based on the specificity of antibody–epitope interaction [ 8 ]. The yeast-2-hybrid (Y2H) [ 9 , 10 ] and synthetic lethality are in vivo techniques. According to Fields and Song [ 11 ], the Y2H is scalable and can be used to evaluate the interaction of several proteins in parallel with some automation.…”

Section: Introductionmentioning

confidence: 99%

Protein–Protein Interaction (PPI) Network of Zebrafish Oestrogen Receptors: A Bioinformatics Workflow

Zainal-Abidin

Afiqah‐Aleng

Abdullah‐Zawawi

et al. 2022

Life

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Protein–protein interaction (PPI) is involved in every biological process that occurs within an organism. The understanding of PPI is essential for deciphering the cellular behaviours in a particular organism. The experimental data from PPI methods have been used in constructing the PPI network. PPI network has been widely applied in biomedical research to understand the pathobiology of human diseases. It has also been used to understand the plant physiology that relates to crop improvement. However, the application of the PPI network in aquaculture is limited as compared to humans and plants. This review aims to demonstrate the workflow and step-by-step instructions for constructing a PPI network using bioinformatics tools and PPI databases that can help to predict potential interaction between proteins. We used zebrafish proteins, the oestrogen receptors (ERs) to build and analyse the PPI network. Thus, serving as a guide for future steps in exploring potential mechanisms on the organismal physiology of interest that ultimately benefit aquaculture research.

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Identification of the Novel Host Protein Interacting With the Structural Protein VP1 of Chinese Sacbrood Virus by Yeast Two-Hybrid Screening

Cited by 11 publications

References 46 publications

Systems Biology of Virus-Host Protein Interactions: From Hypothesis Generation to Mechanisms of Replication and Pathogenesis

Systems Biology of Virus-Host Protein Interactions: From Hypothesis Generation to Mechanisms of Replication and Pathogenesis

Interaction between the VP2 protein of deformed wing virus and host snapin protein and its effect on viral replication

Protein–Protein Interaction (PPI) Network of Zebrafish Oestrogen Receptors: A Bioinformatics Workflow

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