A pipeline of integrating transcriptome and interactome to elucidate central nodes in host-pathogens interactions

Summary: 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 transcrip...

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Main Authors: Nilesh Kumar, Bharat Mishra, M. Shahid Mukhtar
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:STAR Protocols
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166722004889
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author Nilesh Kumar
Bharat Mishra
M. Shahid Mukhtar
author_facet Nilesh Kumar
Bharat Mishra
M. Shahid Mukhtar
author_sort Nilesh Kumar
collection DOAJ
description Summary: 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). : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.
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spelling doaj.art-34335492240d4d77a222830f6bdc43e82022-12-22T02:48:33ZengElsevierSTAR Protocols2666-16672022-09-0133101608A pipeline of integrating transcriptome and interactome to elucidate central nodes in host-pathogens interactionsNilesh Kumar0Bharat Mishra1M. Shahid Mukhtar2Department of Biology, University of Alabama at Birmingham, Birmingham, AL 35294, USADepartment of Biology, University of Alabama at Birmingham, Birmingham, AL 35294, USADepartment of Biology, University of Alabama at Birmingham, Birmingham, AL 35294, USA; Corresponding authorSummary: 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). : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.http://www.sciencedirect.com/science/article/pii/S2666166722004889BioinformaticsGenomicsImmunologyMicrobiologySystems biology
spellingShingle Nilesh Kumar
Bharat Mishra
M. Shahid Mukhtar
A pipeline of integrating transcriptome and interactome to elucidate central nodes in host-pathogens interactions
STAR Protocols
Bioinformatics
Genomics
Immunology
Microbiology
Systems biology
title A pipeline of integrating transcriptome and interactome to elucidate central nodes in host-pathogens interactions
title_full A pipeline of integrating transcriptome and interactome to elucidate central nodes in host-pathogens interactions
title_fullStr A pipeline of integrating transcriptome and interactome to elucidate central nodes in host-pathogens interactions
title_full_unstemmed A pipeline of integrating transcriptome and interactome to elucidate central nodes in host-pathogens interactions
title_short A pipeline of integrating transcriptome and interactome to elucidate central nodes in host-pathogens interactions
title_sort pipeline of integrating transcriptome and interactome to elucidate central nodes in host pathogens interactions
topic Bioinformatics
Genomics
Immunology
Microbiology
Systems biology
url http://www.sciencedirect.com/science/article/pii/S2666166722004889
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