Deciphering host–virus interaction networks in ALV infection: an integrative multi-omics perspective - Summary - MDSpire

Deciphering host–virus interaction networks in ALV infection: an integrative multi-omics perspective

  • By

  • Junliang Xia

  • Weiding Chen

  • Xiaoli Zhou

  • Tao Xu

  • Guodong Mo

  • Xiquan Zhang

  • June 30, 2026

  • 0 min

Share

Objective:

To summarize the epidemiology and molecular biology of Avian leukosis virus (ALV) and to review how multi-omics approaches combined with functional genomics can enhance the understanding of host-virus interactions.

Approach:
  • Multi-Omics Integration: Utilizes high-throughput technologies across genomic, transcriptomic, proteomic, and epigenetic levels to investigate host-virus interactions.
  • CRISPR-Based Functional Screening: Employs CRISPR technology for high-throughput validation of candidate host factors and identification of key regulators of viral replication and immune modulation.
Key Findings:
  • ALV is a persistent threat to the poultry industry due to its ability to induce immunosuppression and promote tumorigenesis.
  • Current understanding of host-virus interactions is limited by studies focusing on individual host genes or isolated signaling pathways.
  • Integration of molecular phenotypes with multi-omics data can enhance the identification of genetic variation linked to functional immune responses.
Interpretation:

A comprehensive understanding of host-virus interactions is necessary for developing effective antiviral strategies against ALV.

Limitations:
  • Existing studies often focus on single-omics layers, limiting the understanding of cross-level regulatory mechanisms.
  • The subclinical nature of ALV infection complicates the evaluation of host immune responses.
Conclusion:

An integrative systems framework combining multi-omics profiling with CRISPR-based functional validation is proposed to identify key regulatory nodes governing ALV–host interactions.

Original Source(s)

Related Content