scholarly journals Different Subtypes of Influenza Viruses Target Different Human Proteins and Pathways Leading to Different Pathogenic Phenotypes

2019 ◽  
Vol 2019 ◽  
pp. 1-7
Author(s):  
Yujie Wang ◽  
Ting Song ◽  
Kaiwu Li ◽  
Yuan Jin ◽  
Junjie Yue ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Influenza A ◽  
Viral Proteins ◽  
Influenza Viruses ◽  
Host Protein ◽  
Protein Protein Interactions ◽  
Influenza A Viruses ◽  
Host Proteins ◽  
Pathogenic Mechanisms ◽  
Human Proteins

Different subtypes of influenza A viruses (IAVs) cause different pathogenic phenotypes after infecting human bodies. Analysis of the interactions between viral proteins and the host proteins may provide insights into the pathogenic mechanisms of the virus. In this paper, we found that the same proteins (nucleoprotein and neuraminidase) of H1N1 and H5N1 have different impacts on the NF-κB activation. By further examining the virus–host protein–protein interactions, we found that both NP and NA proteins of the H1N1 and H5N1 viruses target different host proteins. These results indicate that different subtypes of influenza viruses target different human proteins and pathways leading to different pathogenic phenotypes.

scholarly journals Different subtypes of influenza A viruses target different human proteins and pathways leading to different pathogenic phenotypes

2019 ◽  
Author(s):  
Yujie Wang ◽  
Ting Song ◽  
Kaiwu Li ◽  
Yuan Jin ◽  
Junjie Yue ◽  
...  
Keyword(s):  
Influenza A ◽  
Influenza Viruses ◽  
Host Protein ◽  
Yeast Two Hybrid ◽  
Influenza A Viruses ◽  
Protein Protein Interaction ◽  
Ppi Networks ◽  
Tnf Α ◽  
Human Proteins ◽  
Two Hybrid

AbstractDifferent subtypes of Influenza A viruses cause different pathogenic phenotypes after infecting human bodies. Direct binary interactions between viral proteins and human proteins provide an important background for influenza viruses to cause complex pathologies of hosts. Here, we demonstrated the different impacts on the TNF-α-induced NF-κB activation of H1N1 and H5N1 virus proteins. By further examining the virus-host protein-protein interactions (PPI), we found that the same segment protein of the H1N1 and H5N1 viruses target on different host proteins. We then performed a yeast two-hybrid analysis of a highly pathogenic avian H5N1 influenza virus and human proteins. Influenza-host protein-protein interaction networks of three strains of influenza A viruses (including two other reported influenza-host PPI networks) were systematically compared and mapped on the network level and the pathway level. The results show subtype-specific characters of the influenza-host protein interactome, which may response for the specific pathogenic mechanisms of different subtypes of influenza viruses.ImportanceInfluenza A virus (IAV) can cause contagious respiratory illness, namely influenza (flu). The symptoms of infections from different subtypes of IAVs vary from mild to severe illness. The mechanism of these different pathogenic phenotypes remains poorly understood. Our results show that the same NA and NP segments from H1N1 and H5N1 virus cause different impacts on the TNF-α-induced NF-κB pathway. Furthermore, we generated a yeast two-hybrid protein-protein interaction (PPI) network between H5N1 and human proteins. By systematically comparing the influenza-host PPI networks of three strains of IAVs, we show that different subtypes of IAVs target different human proteins and pathways, which may have led to different pathogenic phenotypes.

scholarly journals Modulation of Innate Immune Responses by the Influenza A NS1 and PA-X Proteins

Viruses ◽  
2018 ◽  
Vol 10 (12) ◽  
pp. 708 ◽  
Author(s):  
Aitor Nogales ◽  
Luis Martinez-Sobrido ◽  
David Topham ◽  
Marta DeDiego
Keyword(s):  
Immune Responses ◽  
Influenza A ◽  
Defense Mechanisms ◽  
Synergistic Effects ◽  
Viral Proteins ◽  
Economic Problem ◽  
Innate Immune ◽  
Host Protein ◽  
Innate Immune Responses ◽  
Influenza A Viruses

Influenza A viruses (IAV) can infect a broad range of animal hosts, including humans. In humans, IAV causes seasonal annual epidemics and occasional pandemics, representing a serious public health and economic problem, which is most effectively prevented through vaccination. The defense mechanisms that the host innate immune system provides restrict IAV replication and infection. Consequently, to successfully replicate in interferon (IFN)-competent systems, IAV has to counteract host antiviral activities, mainly the production of IFN and the activities of IFN-induced host proteins that inhibit virus replication. The IAV multifunctional proteins PA-X and NS1 are virulence factors that modulate the innate immune response and virus pathogenicity. Notably, these two viral proteins have synergistic effects in the inhibition of host protein synthesis in infected cells, although using different mechanisms of action. Moreover, the control of innate immune responses by the IAV NS1 and PA-X proteins is subject to a balance that can determine virus pathogenesis and fitness, and recent evidence shows co-evolution of these proteins in seasonal viruses, indicating that they should be monitored for enhanced virulence. Importantly, inhibition of host gene expression by the influenza NS1 and/or PA-X proteins could be explored to develop improved live-attenuated influenza vaccines (LAIV) by modulating the ability of the virus to counteract antiviral host responses. Likewise, both viral proteins represent a reasonable target for the development of new antivirals for the control of IAV infections. In this review, we summarize the role of IAV NS1 and PA-X in controlling the antiviral response during viral infection.

scholarly journals A map of direct SARS-CoV-2 protein interactions implicates specific human host processes

2021 ◽  
Author(s):  
Dae-Kyum Kim ◽  
Benjamin Weller ◽  
Chung-Wen Lin ◽  
Dayag Sheykhkarimli ◽  
Jennifer J Knapp ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Membrane Trafficking ◽  
Host Protein ◽  
Host Proteins ◽  
Systematic Map ◽  
High Data ◽  
Protein Ubiquitination ◽  
Human Proteins ◽  
Physical Interactions ◽  
Key Steps

Key steps in viral propagation, immune suppression and pathology are mediated by direct, binary physical interactions between viral and host proteins. To understand the biology of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, we generated an unbiased systematic map of binary physical interactions between viral and host interactions, complementing previous co-complex association maps by conveying more direct mechanistic understanding and enabling targeted disruption of direct interactions. To this end, we deployed two parallel strategies, identifying 205 virus-host and 27 intraviral binary interactions amongst 171 host and 19 viral proteins, with orthogonal validation by an internally benchmarked NanoLuc two-hybrid system to ensure high data quality. Host proteins interacting with SARS-CoV-2 proteins were enriched in various cellular processes, including immune signaling and inflammation, protein ubiquitination, and membrane trafficking. Specific subnetworks provide new hypotheses related to viral modulation of host protein homeostasis and T-cell regulation. The direct virus-host protein interactions we identified can now be prioritized as targets for therapeutic intervention. More generally, we provide a resource of systematic maps describing which SARS-CoV-2 and human proteins interact directly.

scholarly journals Impact Analysis of SARS-CoV2 on Signaling Pathways during COVID19 Pathogenesis using Codon Usage Assisted Host-Viral Protein Interactions

2020 ◽  
Author(s):  
Jayanta Kumar Das ◽  
Subhadip Chakraborty ◽  
Swarup Roy
Keyword(s):  
Codon Usage ◽  
Signaling Pathways ◽  
Protein Interaction ◽  
Protein Interactions ◽  
Viral Protein ◽  
Viral Proteins ◽  
Host Protein ◽  
Host Proteins ◽  
Disease Pathogenesis ◽  
Pattern Similarity

AbstractUnderstanding the molecular mechanism of COVID19 disease pathogenesis helps in the rapid development of therapeutic targets. Usually, viral protein targets host proteins in an organized fashion. The pathogen may target cell signaling pathways to disrupt the pathway genes’ regular activities, resulting in disease. Understanding the interaction mechanism of viral and host proteins involved in different signaling pathways may help decipher the attacking mechanism on the signal transmission during diseases, followed by discovering appropriate therapeutic solutions.The expression of any viral gene depends mostly on the host translational machinery. Recent studies report the great significance of codon usage biases in establishing host-viral protein-protein interactions (PPI). Exploiting the codon usage patterns between a pair of co-evolved host and viral proteins may present novel insight into the host-viral protein interactomes during disease pathogenesis. Leveraging the codon usage pattern similarity (and dissimilarity), we propose a computational scheme to recreate the hostviral protein interaction network (HVPPI). We use seventeen (17) essential signaling pathways for our current work and study the possible targeting mechanism of SARS-CoV2 viral proteins on such pathway proteins. We infer both negatively and positively interacting edges in the network. We can find a relationship where one host protein may target by more than one viral protein.Extensive analysis performed to understand the network topologically and the attacking behavior of the viral proteins. Our study reveals that viral proteins, mostly utilize codons, rare in the targeted host proteins (negatively correlated interaction). Among non-structural proteins, NSP3 and structural protein, Spike (S) protein, are the most influential proteins in interacting multiple host proteins. In ranking the most affected pathways, MAPK pathways observe to be worst affected during the COVID-19 disease. A good number of targeted proteins are highly central in host protein interaction networks. Proteins participating in multiple pathways are also highly connected in their own PPI and mostly targeted by multiple viral proteins.

scholarly journals Timing Is Everything: Coordinated Control of Host Shutoff by Influenza A Virus NS1 and PA-X Proteins

2015 ◽  
Vol 89 (13) ◽  
pp. 6528-6531 ◽  
Author(s):  
Denys A. Khaperskyy ◽  
Craig McCormick
Keyword(s):  
Influenza A ◽  
Coordinated Control ◽  
Viral Proteins ◽  
Influenza Viruses ◽  
Host Proteins ◽  
Viral Mrnas ◽  
Small Genome ◽  
Antiviral Responses ◽  
Host Shutoff ◽  
Successful Replication

Like all viruses, influenza viruses (IAVs) use host translation machinery to decode viral mRNAs. IAVs ensure efficient translation of viral mRNAs through host shutoff, a process whereby viral proteins limit the accumulation of host proteins through subversion of their biogenesis. Despite its small genome, the virus deploys multiple host shutoff mechanisms at different stages of infection, thereby ensuring successful replication while limiting the communication of host antiviral responses. In this Gem, we review recent data on IAV host shutoff proteins, frame the outstanding questions in the field, and propose a temporally coordinated model of IAV host shutoff.

scholarly journals A SARS-CoV-2 – host proximity interactome

2020 ◽  
Author(s):  
Payman Samavarchi-Tehrani ◽  
Hala Abdouni ◽  
James D.R. Knight ◽  
Audrey Astori ◽  
Reuben Samson ◽  
...  
Keyword(s):  
Host Cell ◽  
Protein Interactions ◽  
Affinity Purification ◽  
Drug Repurposing ◽  
Viral Proteins ◽  
Host Protein ◽  
Virus Protein ◽  
Host Proteins ◽  
Biochemical Purification ◽  
Cell Functions

AbstractViral replication is dependent on interactions between viral polypeptides and host proteins. Identifying virus-host protein interactions can thus uncover unique opportunities for interfering with the virus life cycle via novel drug compounds or drug repurposing. Importantly, many viral-host protein interactions take place at intracellular membranes and poorly soluble organelles, which are difficult to profile using classical biochemical purification approaches. Applying proximity-dependent biotinylation (BioID) with the fast-acting miniTurbo enzyme to 27 SARS-CoV-2 proteins in a lung adenocarcinoma cell line (A549), we detected 7810 proximity interactions (7382 of which are new for SARS-CoV-2) with 2242 host proteins (results available at covid19interactome.org). These results complement and dramatically expand upon recent affinity purification-based studies identifying stable host-virus protein complexes, and offer an unparalleled view of membrane-associated processes critical for viral production. Host cell organellar markers were also subjected to BioID in parallel, allowing us to propose modes of action for several viral proteins in the context of host proteome remodelling. In summary, our dataset identifies numerous high confidence proximity partners for SARS-CoV-2 viral proteins, and describes potential mechanisms for their effects on specific host cell functions.

An improved method for predicting interactions between virus and human proteins

2017 ◽  
Vol 15 (01) ◽  
pp. 1650024 ◽  
Author(s):  
Byungmin Kim ◽  
Saud Alguwaizani ◽  
Xiang Zhou ◽  
De-Shuang Huang ◽  
Byunkyu Park ◽  
...  
Keyword(s):  
Amino Acid ◽  
Computational Methods ◽  
Protein Interactions ◽  
Human Papillomaviruses ◽  
Support Vector ◽  
Protein Protein Interactions ◽  
Host Proteins ◽  
Human Ppis ◽  
Human Proteins ◽  
Key Features

The interaction of virus proteins with host proteins plays a key role in viral infection and consequent pathogenesis. Many computational methods have been proposed to predict protein–protein interactions (PPIs), but most of the computational methods are intended for PPIs within a species rather than PPIs across different species such as virus–host PPIs. We developed a method that represents key features of virus and human proteins of variable length into a feature vector of fixed length. The key features include the relative frequency of amino acid triplets (RFAT), the frequency difference of amino acid triplets (FDAT) between virus and host proteins, and amino acid composition (AC). We constructed several support vector machine (SVM) models to evaluate our method and to compare our method with others on PPIs between human and two types of viruses: human papillomaviruses (HPV) and hepatitis C virus (HCV). Comparison of our method to others with same datasets of HPV–human PPIs and HCV–human PPIs showed that the performance of our method is significantly higher than others in all performance measures. Using the SVM model with gene ontology (GO) annotations of proteins, we predicted new HPV–human PPIs. We believe our approach will be useful in predicting heterogeneous PPIs.

scholarly journals Virus-host protein-protein interactions between human papillomavirus 16 E6 A1 and D2/D3 sub-lineages: variances and similarities

2020 ◽  
Author(s):  
Guillem Dayer ◽  
Mehran L. Masoom ◽  
Melissa Togtema ◽  
Ingeborg Zehbe
Keyword(s):  
Human Papillomavirus ◽  
High Risk ◽  
Asian American ◽  
Protein Interactions ◽  
Host Protein ◽  
Cellular Proteins ◽  
Loss Of Function ◽  
Protein Protein Interactions ◽  
Host Proteins ◽  
E6 Protein

AbstractHigh-risk strains of human papillomavirus are causative agents for cervical and other mucosal cancers with type 16 being the most frequent. Compared to the European Prototype (A1, denoted “EP”), the Asian-American (D2/D3, denoted “AA”) sub-lineage or “variant” is reported to have increased abilities to promote carcinogenesis. Few global interactome studies have looked at protein-protein interactions (PPIs) between host proteins and variants of the key transforming E6 protein. We applied a primary human foreskin keratinocyte model transduced with EP and AA variant E6 genes and co-immunoprecipitated expressed E6 proteins along with interacting cellular proteins to detect virus-host binding partners. We reasoned that, due to single nucleotide polymorphisms, AAE6 and EPE6 may have unique PPIs with host cellular proteins—conferring gain or loss of function—resulting in varied abilities to promote carcinogenesis. Using liquid chromatography-mass spectrometry and stringent interactor selection criteria based on the number of peptides, we identified 25 candidates: 6 unique to each of AAE6 and EPE6, along with 13 E6 targets common to both AAE6 and EPE6. We also applied a more inclusive process based on pathway selection and discovered 171 target proteins: 90 unique AAE6 and 61 unique EPE6 along with 20 common E6 targets between the two sub-lineages. Interpretations for both approaches were made using databases such as UniProt, BioGRID and Reactome. Detected E6 targets are implicated in important hallmarks of cancer: deregulating Notch and other signaling, energetics and hypoxia, DNA replication and repair, and immune response. Validation experiments, such as reverse co-immunoprecipitation and RNA interference, are required to substantiate these findings. Here, we provide an unprecedented resource for new research questions in HR HPV biology. The current data also underline our lab’s driving hypothesis that E6, being a “master regulator” in HPV-positive cancers, is an excellent candidate for anti-cancer treatment strategies.Author SummaryChronic infection with high-risk human papillomavirus (HPV) type 16 is the most prevalent cause of cervical and other mucosal cancers. The E6 oncoproteins of the European Prototype (EP) and the Asian-American (AA) HPV variants differentially promote carcinogenesis. We looked at protein-protein interactions between host proteins and two key HPV variant E6 proteins of these strains to reveal how high risk HPVs cause cancer, based on the proteins they bind to in infected cells. Our methodology combined molecular biology and data mining techniques using widely available databases. We confirmed and discovered novel virus-host associations that explained how HPV AA and EP variants differ in their carcinogenic capabilities, and confirmed the candidacy of the E6 protein as a viable target for HPV therapies.

scholarly journals Role of Viral Protein-Protein Interactions and Possible Targets for New Therapeutics

2021 ◽  
Vol 2 (2) ◽  
pp. 1-15
Author(s):  
Rehan Zafar Paracha ◽  
Fahed Parvaiz ◽  
Babar Aslam ◽  
Ayesha Obaid ◽  
Sidra Qureshi ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Viral Protein ◽  
Influenza A ◽  
Viral Infections ◽  
Treatment Options ◽  
Interaction Network ◽  
Viral Proteins ◽  
Protein Protein Interactions ◽  
Virus Influenza

Viral infections are the cause of serious infirmities in humans and kill millions of people every year. Management of viral diseases is one of the challenges faced by the whole world which needs improvement in prevention and treatment options. Complete understanding of the consequences of viral proteins interaction network on host physiology is essential. Towards this goal, deciphering viral protein-protein interactions is one of the perspective which can help in our understanding about the basis of viral pathogenesis and the development of new antivirals. Indeed, viral infection network based on viral-viral proteins will provide an elusive and investigative framework to articulate rationalize drug discovery based on proteomics scale of viruses. In this study, proteomics a collection of viral-viral protein interactions reporting different studies of Hepatitis C virus, Influenza A virus, Dengue virus and SARS Coronavirus. Our effort of protein-interactions was focused on different studies reporting interactions between viral proteins encoded by the viruses under study. The study is integrated with a broad and original literature-curated data of viral-viral protein (197 non-redundant) interactions.

scholarly journals Network analysis of host-pathogen protein interactions in microbe induced cardiovascular diseases

2021 ◽  
pp. 1-19
Author(s):  
Nirupma Singh ◽  
Sneha Rai ◽  
Rakesh Bhatnagar ◽  
Sonika Bhatnagar
Keyword(s):  
Protein Interactions ◽  
Ribosomal Proteins ◽  
Influenza A ◽  
Large Scale ◽  
Viral Proteins ◽  
Alpha Synuclein ◽  
System Level ◽  
Host Proteins ◽  
Cardiac Damage ◽  
Tata Box Binding Protein

Large-scale visualization and analysis of HPIs involved in microbial CVDs can provide crucial insights into the mechanisms of pathogenicity. The comparison of CVD associated HPIs with the entire set of HPIs can identify the pathways specific to CVDs. Therefore, topological properties of HPI networks in CVDs and all pathogens was studied using Cytoscape3.5.1. Ontology and pathway analysis were done using KOBAS 3.0. HPIs of Papilloma, Herpes, Influenza A virus as well as Yersinia pestis and Bacillus anthracis among bacteria were predominant in the whole (wHPI) and the CVD specific (cHPI) network. The central viral and secretory bacterial proteins were predicted virulent. The central viral proteins had higher number of interactions with host proteins in comparison with bacteria. Major fraction of central and essential host proteins interacts with central viral proteins. Alpha-synuclein, Ubiquitin ribosomal proteins, TATA-box-binding protein, and Polyubiquitin-C &B proteins were the top interacting proteins specific to CVDs. Signaling by NGF, Fc epsilon receptor, EGFR and ubiquitin mediated proteolysis were among the top enriched CVD specific pathways. DEXDc and HELICc were enriched host mimicry domains that may help in hijacking of cellular machinery by pathogens. This study provides a system level understanding of cardiac damage in microbe induced CVDs.

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