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A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
Published on: July 18, 2013
Deciphering host-virus interaction networks in ALV infection: an integrative multi-omics perspective
Junliang Xia1,2,3, Weiding Chen1,2,3, Xiaoli Zhou1,2,3
1College of Animal Science, Department of Animal Genetics, Breeding and Reproduction, South China Agricultural University, Guangzhou, China.
Avian leukosis virus (ALV) poses a significant threat to poultry. Integrative multi-omics and functional genomics offer a systems-level approach to understand host-virus interactions and develop better control strategies.
Area of Science:
- Veterinary Virology
- Immunology
- Genomics
Background:
- Avian leukosis virus (ALV) causes persistent infections, immunosuppression, and tumors in poultry, impacting the industry.
- Control is challenging due to subclinical infections, vertical transmission, and viral evolution.
- Current research is limited by the complexity of host-virus interactions and lack of dynamic resistance indicators.
Purpose of the Study:
- To review the epidemiology and molecular biology of ALV.
- To outline host-virus interactions, focusing on innate immunity.
- To highlight how integrative multi-omics and functional genomics can identify host determinants for improved antiviral strategies.
Main Methods:
- Review of current literature on ALV.
- Emphasis on integrative multi-omics (genomics, transcriptomics, proteomics, epigenetics).
- Integration with molecular phenotypes (eQTLs, pQTLs) and CRISPR-based functional screening.
Main Results:
- Multi-omics approaches capture coordinated molecular changes.
- Integration with quantitative trait loci links genetic variation to immune responses.
- CRISPR screening validates host factors and identifies viral replication regulators.
Conclusions:
- Integrative multi-omics and functional genomics provide a systems-level view of ALV-host interactions.
- This framework aids in identifying critical host determinants for resistance.
- Advances support the development of more effective ALV control strategies and antiviral therapies.
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