ArticleSTAR protocols2022
A pipeline of integrating transcriptome and interactome to elucidate central nodes in host-pathogens interactions.
Article in STAR protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Integrated Systems Biology Pipeline to Compare Co-Expression Networks in Plants and Elucidate Differential Regulators.Plants (Basel, Switzerland) · 2023Article
- Protein-Protein Interaction Network Analysis Using NetworkX.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Cytotrap: An Innovative Approach for Protein-Protein Interaction Studies for Cytoplasmic Proteins.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Cytotrap: An Innovative Approach for Protein-Protein Interaction Studies for Cytoplasmic Proteins.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Dynamic Enrichment for Evaluation of Protein Networks (DEEPN): A High Throughput Yeast Two-Hybrid (Y2H) Protocol to Evaluate Networks.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Protein-Protein Interaction Network Exploration Using Cytoscape.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Building Protein-Protein Interaction Graph Database Using Neo4j.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Preparation and Utilization of a Versatile GFP-Protein Trap-Like System for Protein Complex Immunoprecipitation in Plants.Methods in molecular biology (Clifton, N.J.) · 2023Article
- Computational models for prediction of protein-protein interaction in rice andFrontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Investigating the complexity of host-pathogen interactions is challenging. Here, we outline a pipeline to identify important proteins and signaling molecules in human-viral interactomes. Firstly, we curate a comprehensive human interactome. Subsequently, we infer viral targets and transcriptome-specific human interactomes (VTTSHI) for papillomavirus and herpes viruses by integrating viral targets and transcriptome data. Finally, we reveal the common and shared nodes and pathways in viral pathogenesis following network topology and pathway enrichment analyses. For complete details on the use and execution of this protocol, please refer to Kumar et al. (2020).
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Registered trials
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