Identification of Human Protein Interaction Domains using an ORFeome-based Yeast Two-hybrid Fragment Library

2013 ◽  
Vol 12 (7) ◽  
pp. 3181-3192 ◽  
Author(s):  
Selma Waaijers ◽  
Thijs Koorman ◽  
Jana Kerver ◽  
Mike Boxem
Keyword(s):  
Protein Interaction ◽  
Human Protein ◽  
Yeast Two Hybrid ◽  
Human Protein Interaction ◽  
Fragment Library ◽  
Interaction Domains ◽  
Two Hybrid

scholarly journals Structural Glycoprotein E2 of Classical Swine Fever Virus Interacts with Host Protein Dynactin Subunit 6 (DCTN6) during the Virus Infectious Cycle

2019 ◽  
Vol 94 (1) ◽  
Author(s):  
M. V. Borca ◽  
E. A. Vuono ◽  
E. Ramirez-Medina ◽  
P. Azzinaro ◽  
K. A. Berggren ◽  
...  
Keyword(s):  
Amino Acid ◽  
Protein Interaction ◽  
Hybrid Approach ◽  
Classical Swine Fever ◽  
Host Protein ◽  
Yeast Two Hybrid ◽  
Protein Protein Interaction ◽  
Viral Virulence ◽  
Glycoprotein E2 ◽  
Two Hybrid

ABSTRACT The E2 protein in classical swine fever (CSF) virus (CSFV) is the major virus structural glycoprotein and is an essential component of the viral particle. E2 has been shown to be involved in several functions, including virus adsorption, induction of protective immunity, and virulence in swine. Using the yeast two-hybrid system, we previously identified a swine host protein, dynactin subunit 6 (DCTN6) (a component of the cell dynactin complex), as a specific binding partner for E2. We confirmed the interaction between DCTN6 and E2 proteins in CSFV-infected swine cells by using two additional independent methodologies, i.e., coimmunoprecipitation and proximity ligation assays. E2 residues critical for mediating the protein-protein interaction with DCTN6 were mapped by a reverse yeast two-hybrid approach using a randomly mutated E2 library. A recombinant CSFV mutant, E2ΔDCTN6v, harboring specific substitutions in those critical residues was developed to assess the importance of the E2-DCTN6 protein-protein interaction for virus replication and virulence in swine. CSFV E2ΔDCTN6v showed reduced replication, compared with the parental virus, in an established swine cell line (SK6) and in primary swine macrophage cultures. Remarkably, animals infected with CSFV E2ΔDCTN6v remained clinically normal during the 21-day observation period, which suggests that the ability of CSFV E2 to bind host DCTN6 protein efficiently during infection may play a role in viral virulence. IMPORTANCE Structural glycoprotein E2 is an important component of CSFV due to its involvement in many virus activities, particularly virus-host interactions. Here, we present the description and characterization of the protein-protein interaction between E2 and the swine host protein DCTN6 during virus infection. The E2 amino acid residues mediating the interaction with DCTN6 were also identified. A recombinant CSFV harboring mutations disrupting the E2-DCTN6 interaction was created. The effect of disrupting the E2-DCTN6 protein-protein interaction was studied using reverse genetics. It was shown that the same amino acid substitutions that abrogated the E2-DCTN6 interaction in vitro constituted a critical factor in viral virulence in the natural host, domestic swine. This highlights the potential importance of the E2-DCTN6 protein-protein interaction in CSFV virulence and provides possible mechanisms of virus attenuation for the development of improved CSF vaccines.

scholarly journals A yeast two-hybrid smart-pool-array system for protein-interaction mapping

2007 ◽  
Vol 4 (5) ◽  
pp. 405-407 ◽  
Author(s):  
Fulai Jin ◽  
Larisa Avramova ◽  
Jing Huang ◽  
Tony Hazbun
Keyword(s):  
Protein Interaction ◽  
Yeast Two Hybrid ◽  
Two Hybrid

scholarly journals Construction of gateway-compatible yeast two-hybrid vectors for high throughput analysis of protein interaction

2010 ◽  
Vol 9 (9) ◽  
pp. 1392-1396
Author(s):  
Zhu Tingheng ◽  
Wang Weixia ◽  
Wong Hann lin ◽  
Yang Xiao ◽  
Wang Kun ◽  
...  
Keyword(s):  
High Throughput ◽  
Protein Interaction ◽  
Yeast Two Hybrid ◽  
High Throughput Analysis ◽  
Throughput Analysis ◽  
Hybrid Vectors ◽  
Two Hybrid

scholarly journals Definition of a minimal munc18c domain that interacts with syntaxin 4

2000 ◽  
Vol 350 (3) ◽  
pp. 741-746 ◽  
Author(s):  
Julian GRUSOVIN ◽  
Violet STOICHEVSKA ◽  
Keith H. GOUGH ◽  
Katrina NUNAN ◽  
Colin W. WARD ◽  
...  
Keyword(s):  
Protein Interaction ◽  
Full Length ◽  
Yeast Two Hybrid ◽  
Protein Protein Interaction ◽  
Interaction Studies ◽  
Syntaxin 4 ◽  
Definition Of ◽  
Two Hybrid

munc18c is a critical protein involved in trafficking events associated with syntaxin 4 and which also mediates inhibitory effects on vesicle docking and/or fusion. To investigate the domains of munc18c responsible for its interaction with syntaxin 4, fragments of munc18c were generated and their interaction with syntaxin 4 examined in vivo by the yeast two-hybrid assay. In vitro protein–protein interaction studies were then used to confirm that the interaction between the proteins was direct. Full-length munc18c1–592, munc18c1–139 and munc18c1–225, but not munc18c226–592, munc18c1–100, munc18c43–139 or munc18c66–139, interacted with the cytoplasmic portion of syntaxin 4, Stx42–273, as assessed by yeast two-hybrid assay of growth on nutritionally deficient media and by β-galactosidase reporter induction. The N-terminal predicted helix-a-helix-b-helix-c region of syntaxin 4, Stx429–157, failed to interact with full-length munc18c1–592, indicating that a larger portion of syntaxin 4 is necessary for the interaction. The yeast two-hybrid results were confirmed by protein–protein interaction studies between Stx42–273 and glutathione S-transferase fusion proteins of munc18c. Full-length munc18c1–592, munc18c1–139 and munc18c1–225 interacted with Stx42–273 whereas munc18c1–100 did not, consistent with the yeast two-hybrid data. These data thus identify a region of munc18c between residues 1 and 139 as a minimal domain for its interaction with syntaxin 4.

scholarly journals Identification of COVID-19 Infection-Related Human Genes Based on a Random Walk Model in a Virus–Human Protein Interaction Network

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
YuHang Zhang ◽  
Tao Zeng ◽  
Lei Chen ◽  
ShiJian Ding ◽  
Tao Huang ◽  
...  
Keyword(s):  
Random Walk ◽  
Infectious Diseases ◽  
Protein Interaction ◽  
Protein Interaction Network ◽  
Disease Outbreaks ◽  
Interaction Network ◽  
Random Walk Model ◽  
Human Protein ◽  
Human Beings ◽  
Human Protein Interaction

Coronaviruses are specific crown-shaped viruses that were first identified in the 1960s, and three typical examples of the most recent coronavirus disease outbreaks include severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), and COVID-19. Particularly, COVID-19 is currently causing a worldwide pandemic, threatening the health of human beings globally. The identification of viral pathogenic mechanisms is important for further developing effective drugs and targeted clinical treatment methods. The delayed revelation of viral infectious mechanisms is currently one of the technical obstacles in the prevention and treatment of infectious diseases. In this study, we proposed a random walk model to identify the potential pathological mechanisms of COVID-19 on a virus–human protein interaction network, and we effectively identified a group of proteins that have already been determined to be potentially important for COVID-19 infection and for similar SARS infections, which help further developing drugs and targeted therapeutic methods against COVID-19. Moreover, we constructed a standard computational workflow for predicting the pathological biomarkers and related pharmacological targets of infectious diseases.

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