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High-Throughput Transcriptome Analysis for Investigating Host-Pathogen Interactions
Published on: March 5, 2022
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Host-Pathogen Interaction Databases: Tools for Rapid Understanding of Microbial Pathogenesis
Abdul Arif Khan1, Pooja Wakchoure1, Fozia Farooq2
1Division of Microbiology, ICMR-National Institute of Translational Virology and AIDS Research, Pune, Maharashtra, India.
Wires Mechanisms of Disease
|November 27, 2024
Summary
Molecular methods have advanced the study of microbial pathogenesis, leading to extensive host-pathogen interactions (HPIs) data. HPI databases are crucial tools for understanding these complex interactions and their impact on host systems.
Area of Science:
- Microbiology
- Bioinformatics
- Computational Biology
Background:
- Conventional culture-based techniques are being replaced by molecular methods in microbial pathogenesis research.
- This shift generates vast amounts of host-pathogen interactions (HPIs) data, augmented by computational predictions.
- Dedicated databases for cataloging HPIs have emerged to manage this growing information.
Purpose of the Study:
- To review available HPI databases, their types, and evolution.
- To discuss recent trends in the application of HPI databases for biological research.
- To highlight the importance of HPI databases in understanding microbial pathogenesis.
Main Methods:
- Review of existing literature on HPI databases.
- Analysis of the types and evolution of HPI cataloging.
- Exploration of current applications of HPI databases in research.
Main Results:
- Several dedicated HPI databases are available, cataloging diverse interaction data.
- HPIs are recognized as dynamic with multiple outcomes, extending beyond simple microbe-disease links.
- The article covers the types, evolution, and applications of HPI databases.
Conclusions:
- HPI databases are indispensable tools for advancing the understanding of microbial pathogenesis.
- Comprehensive cataloging of HPIs opens new avenues for studying multifaceted effects on host systems.
- These databases are vital for biological research in microbial pathogenesis.
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