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Updated: Jun 5, 2026
14:58
High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
Published on: March 5, 2022
BiologicalNetworks--tools enabling the integration of multi-scale data for the host-pathogen studies
Sergey Kozhenkov1, Mayya Sedova, Yulia Dubinina
1San Diego Supercomputer Center, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
BMC Systems Biology
|January 18, 2011
Summary
This study presents a new system for integrating diverse data to analyze host-pathogen interactions. It aids in identifying potential drug targets for infectious diseases like influenza.
Area of Science:
- Systems biology
- Bioinformatics
- Immunology
Background:
- Understanding host immune responses to pathogens requires multi-scale analysis of genome-wide data.
- Data integration is crucial for studying biological processes but is underutilized for human host-pathogen interactions.
Purpose of the Study:
- To extend the BiologicalNetworks system for systems-level analysis of host-pathogen interactions.
- To streamline the integration of diverse experimental data for pathogen-related studies.
Main Methods:
- Developed data integration and querying tools to incorporate various data types (molecular interactions, genomics, gene expression, virulence).
- Enabled data integration from public/private databases and user files.
- Extended the BiologicalNetworks system.
Main Results:
- Simplified and streamlined the integration of diverse experimental data for host-pathogen studies.
- Facilitated systems-level analysis of host-pathogen interactions, including gene expression and pathway analysis.
- Identified novel genes associated with influenza infection.
Conclusions:
- The developed system enables systems-level analysis of host-pathogen interactions.
- Identified potential new drug targets for influenza infection.
- Methods and data are accessible via a Java application and web interface.
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