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.

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 Cascading from SARS-CoV-2 to Parkinson’s Disease through Protein-Protein Interactions

Viruses ◽  
2021 ◽  
Vol 13 (5) ◽  
pp. 897
Author(s):  
Ernesto Estrada
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Protein Interactions ◽  
Molecular Level ◽  
Direct Consequence ◽  
Viral Proteins ◽  
Clinical Findings ◽  
Post Translational Modification ◽  
Host Proteins ◽  
Bioinformatic Tools

Extensive extrapulmonary damages in a dozen of organs/systems, including the central nervous system (CNS), are reported in patients of the coronavirus disease 2019 (COVID-19). Three cases of Parkinson’s disease (PD) have been reported as a direct consequence of COVID-19. In spite of the scarce data for establishing a definitive link between COVID-19 and PD, some hypotheses have been proposed to explain the cases reported. They, however, do not fit well with the clinical findings reported for COVID-19 patients, in general, and for the PD cases reported, in particular. Given the importance of this potential connection, we present here a molecular-level mechanistic hypothesis that explains well these findings and will serve to explore the potential CNS damage in COVID-19 patients. The model explaining the cascade effects from COVID-19 to CNS is developed by using bioinformatic tools. It includes the post-translational modification of host proteins in the lungs by viral proteins, the transport of modified host proteins via exosomes out the lungs, and the disruption of protein-protein interaction in the CNS by these modified host proteins. Our hypothesis is supported by finding 44 proteins significantly expressed in the CNS which are associated with PD and whose interactions can be perturbed by 24 host proteins significantly expressed in the lungs. These 24 perturbators are found to interact with viral proteins and to form part of the cargoes of exosomes in human tissues. The joint set of perturbators and PD-vulnerable proteins form a tightly connected network with significantly more connections than expected by selecting a random cluster of proteins of similar size from the human proteome. The molecular-level mechanistic hypothesis presented here provides several routes for the cascading of effects from the lungs of COVID-19 patients to PD. In particular, the disruption of autophagy/ubiquitination processes appears as an important mechanism that triggers the generation of large amounts of exosomes containing perturbators in their cargo, which would insult several PD-vulnerable proteins, potentially triggering Parkinsonism in COVID-19 patients.

scholarly journals Cascading from SARS-CoV-2 to Parkinson's Disease through Protein-Protein Interactions

2021 ◽  
Author(s):  
Ernesto Estrada
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Protein Interactions ◽  
Molecular Level ◽  
Direct Consequence ◽  
Viral Proteins ◽  
Clinical Findings ◽  
Post Translational Modification ◽  
Host Proteins ◽  
Bioinformatic Tools

Abstract Background : Extensive extrapulmonary damages in a dozen of organs/systems, including the central nervous system (CNS), are reported in patients of the coronavirus disease 2019 (COVID-19). Three cases of Parkinson's disease (PD) have been reported as a direct consequence of COVID-19. In spite of the scarce data for establishing a definitive link between COVID-19 and PD some hypothesis have been proposed to explain the cases reported. They, however, do not fit well with the clinical findings reported for COVID-19 patients in general and for the PD cases reported in particular. Given the importance of this potential connection we present here a molecular-level mechanism that explain well these findings and will serve to explore the potential CNS damage in COVID-19 patients. Methods : A model explaining the cascade effects from COVID-19 to CNS is developed by using bioinformatic tools. It includes the post-translational modification of host proteins in the lungs by viral proteins, the transport of modified host proteins via exosomes out the lungs, and the disruption of protein-protein interaction in the CNS by these modified host proteins. Results : We found 44 proteins significantly expressed in the CNS which are associated with PD and whose interactions can be perturbed by 24 host proteins significantly expressed in the lungs. These 24 perturbators are found to interact with viral proteins and to form part of the cargoes of exosomes in human tissues. The joint set of perturbators and PD-vulnerable proteins form a tightly connected network with significantly more connections than expected by selecting a random cluster of proteins of similar size from the human proteome. Conclusions : The molecular-level mechanism presented here provides several routes for the cascading of effects from the lungs of COVID-19 patients to PD. In particular, the disruption of autophagy/ubiquitination processes appears as an important mechanism that triggers the generation of large amounts of exosomes containing perturbators in their cargo, which would insult several PD-vulnerable proteins, potentially triggering Parkinsonism in COVID-19 patients.

scholarly journals Genetic architecture of host proteins interacting with SARS-CoV-2

2020 ◽  
Author(s):  
Maik Pietzner ◽  
Eleanor Wheeler ◽  
Julia Carrasco-Zanini ◽  
Johannes Raffler ◽  
Nicola D. Kerrison ◽  
...  
Keyword(s):  
Protein Interactions ◽  
Host Response ◽  
Drug Targets ◽  
Genetic Architecture ◽  
Large Scale ◽  
Adverse Outcomes ◽  
Host Protein ◽  
Host Proteins ◽  
Proteomic Data ◽  
Cellular Assays

ABSTRACTStrategies to develop therapeutics for SARS-CoV-2 infection may be informed by experimental identification of viral-host protein interactions in cellular assays and measurement of host response proteins in COVID-19 patients. Identification of genetic variants that influence the level or activity of these proteins in the host could enable rapid ‘in silico’ assessment in human genetic studies of their causal relevance as molecular targets for new or repurposed drugs to treat COVID-19. We integrated large-scale genomic and aptamer-based plasma proteomic data from 10,708 individuals to characterize the genetic architecture of 179 host proteins reported to interact with SARS-CoV-2 proteins or to participate in the host response to COVID-19. We identified 220 host DNA sequence variants acting in cis (MAF 0.01-49.9%) and explaining 0.3-70.9% of the variance of 97 of these proteins, including 45 with no previously known protein quantitative trait loci (pQTL) and 38 encoding current drug targets. Systematic characterization of pQTLs across the phenome identified protein-drug-disease links, evidence that putative viral interaction partners such as MARK3 affect immune response, and establish the first link between a recently reported variant for respiratory failure of COVID-19 patients at the ABO locus and hypercoagulation, i.e. maladaptive host response. Our results accelerate the evaluation and prioritization of new drug development programmes and repurposing of trials to prevent, treat or reduce adverse outcomes. Rapid sharing and dynamic and detailed interrogation of results is facilitated through an interactive webserver (https://omicscience.org/apps/covidpgwas/).

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 Heterologous viral protein interactions within licensed seasonal influenza virus vaccines

npj Vaccines ◽  
2020 ◽  
Vol 5 (1) ◽  
Author(s):  
Marina Koroleva ◽  
Frances Batarse ◽  
Savannah Moritzky ◽  
Carole Henry ◽  
Francisco Chaves ◽  
...  
Keyword(s):  
Influenza Virus ◽  
Protein Interactions ◽  
Viral Protein ◽  
Neutralizing Antibodies ◽  
Influenza A ◽  
Protein Composition ◽  
Viral Proteins ◽  
Influenza B ◽  
Draining Lymph Node ◽  
Antibody Specificities

AbstractCurrently, licensed influenza virus vaccines are designed and tested only for their ability to elicit hemagglutinin (HA)-reactive, neutralizing antibodies. Despite this, the purification process in vaccine manufacturing often does not completely remove other virion components. In the studies reported here, we have examined the viral protein composition of a panel of licensed vaccines from different manufacturers and licensed in different years. Using western blotting, we found that, beyond HA proteins, there are detectable quantities of neuraminidase (NA), nucleoprotein (NP), and matrix proteins (M1) from both influenza A and influenza B viruses in the vaccines but that the composition differed by source and method of vaccine preparation. We also found that disparities in viral protein composition were associated with distinct patterns of elicited antibody specificities. Strikingly, our studies also revealed that many viral proteins contained in the vaccine form heterologous complexes. When H1 proteins were isolated by immunoprecipitation, NA (N1), M1 (M1-A), H3, and HA-B proteins were co-isolated with the H1. Further biochemical studies suggest that these interactions persist for at least 4 h at 37 °C and that the membrane/intracytoplasmic domains in the intact HA proteins are important for the intermolecular interactions detected. These studies indicate that, if such interactions persist after vaccines reach the draining lymph node, both dendritic cells and HA-specific B cells may take up multiple viral proteins simultaneously. Whether these interactions are beneficial or harmful to the developing immune response will depend on the functional potential of the elicited virus-specific CD4 T cells.

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 Cascading from SARS-CoV-2 to Parkinson's Disease through Protein-Protein Interactions

2021 ◽  
Author(s):  
Ernesto Estrada
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Protein Interactions ◽  
Molecular Level ◽  
Direct Consequence ◽  
Viral Proteins ◽  
Clinical Findings ◽  
Post Translational Modification ◽  
Host Proteins ◽  
Bioinformatic Tools

Abstract Background: Extensive extrapulmonary damages in a dozen of organs/systems, including the central nervous system (CNS), are reported in patients of the coronavirus disease 2019 (COVID-19). Three cases of Parkinson's disease (PD) have been reported as a direct consequence of COVID-19. In spite of the scarce data for establishing a definitive link between COVID-19 and PD some hypothesis have been proposed to explain the cases reported. They, however, do not fit well with the clinical findings reported for COVID-19 patients in general and for the PD cases reported in particular. Given the importance of this potential connection we present here a molecular-level mechanism that explain well these findings and will serve to explore the potential CNS damage in COVID-19 patients.Methods: A model explaining the cascade effects from COVID-19 to CNS is developed by using bioinformatic tools. It includes the post-translational modification of host proteins in the lungs by viral proteins, the transport of modified host proteins via exosomes out the lungs, and the disruption of protein-protein interaction in the CNS by these modified host proteins.Results: We found 44 proteins significantly expressed in the CNS which are associated with PD and whose interactions can be perturbed by 24 host proteins significantly expressed in the lungs. These 24 perturbators are found to interact with viral proteins and to form part of the cargoes of exosomes in human tissues. The joint set of perturbators and PD-vulnerable proteins form a tightly connected network with significantly more connections than expected by selecting a random cluster of proteins of similar size from the human proteome.Conclusions: The molecular-level mechanism presented here provides several routes for the cascading of effects from the lungs of COVID-19 patients to PD. In particular, the disruption of autophagy/ubiquitination processes appears as an important mechanism that triggers the generation of large amounts of exosomes containing perturbators in their cargo, which would insult several PD-vulnerable proteins, potentially triggering Parkinsonism in COVID-19 patients.

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.

scholarly journals High Throughput strategies Aimed at Closing the GAP in Our Knowledge of Rho GTPase Signaling

Cells ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 1430
Author(s):  
Manel Dahmene ◽  
Laura Quirion ◽  
Mélanie Laurin
Keyword(s):  
High Throughput ◽  
Protein Interactions ◽  
Rho Gtpases ◽  
High Throughput Screening ◽  
Large Scale ◽  
Rho Gtpase ◽  
Cellular Migration ◽  
Cell Junctions ◽  
System Level ◽  
Culture Models

Since their discovery, Rho GTPases have emerged as key regulators of cytoskeletal dynamics. In humans, there are 20 Rho GTPases and more than 150 regulators that belong to the RhoGEF, RhoGAP, and RhoGDI families. Throughout development, Rho GTPases choregraph a plethora of cellular processes essential for cellular migration, cell–cell junctions, and cell polarity assembly. Rho GTPases are also significant mediators of cancer cell invasion. Nevertheless, to date only a few molecules from these intricate signaling networks have been studied in depth, which has prevented appreciation for the full scope of Rho GTPases’ biological functions. Given the large complexity involved, system level studies are required to fully grasp the extent of their biological roles and regulation. Recently, several groups have tackled this challenge by using proteomic approaches to map the full repertoire of Rho GTPases and Rho regulators protein interactions. These studies have provided in-depth understanding of Rho regulators specificity and have contributed to expand Rho GTPases’ effector portfolio. Additionally, new roles for understudied family members were unraveled using high throughput screening strategies using cell culture models and mouse embryos. In this review, we highlight theses latest large-scale efforts, and we discuss the emerging opportunities that may lead to the next wave of discoveries.

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